Business Intelligence – Analytics Software, SAS, business analytics.#Business #analytics

Business Intelligence Analytics

Try SAS ® Visual Analytics on SAS ® Viya ™ for free!

Get the right information to anyone who needs it. Integrate and discover data on your own. Create and share interactive reports. Spark your curiosity with easy-to-use analytics. And monitor key metrics so when something goes awry, you’ll know why – and what to do about it.

Business analytics

Business analytics

Business analytics

Business analytics

Business analytics

Business analytics

Visual Data Exploration

Seeing is knowing.

Explore all your data. Discover new patterns. Create rich visuals and share insights. With our easy-to-use analytics and business intelligence tools, you can:

  • Get the picture. Fast. Get blazingly fast insights by visually exploring all relevant data. Spot unknown patterns. Identify key relationships. And unearth hidden opportunities.
  • See it. Understand it. Compelling visuals help you quickly grasp what the data has to tell you. Interactive visualizations backed by analytics are explained in terms everyone can understand.
  • Bring the where dimension into the spotlight. Enrich your discovery by getting answers to questions like: Where do my customers come from? Where are most accidents occurring? And more.
  • It’s easy. No matter your skill level, you can ask tough questions. Easily explore, create and share. Follow your instincts. No need to engage IT.
  • Fast insights from any data. Whether it’s in Hadoop, your relational data source or Microsoft Office spreadsheets, you can discover data from any source in a well-governed way – without preconceptions.
  • Location, location, location. Adding a geographic perspective takes your explorations to the next level, enabling you to better understand opportunities and risks.

Ready to take the next step toward getting the most value from your data? We offer several different technology, deployment and financing options, depending on your needs.

Business analytics

Easy Analytics

Always powerful. Now easy to use and understand.

Put the world’s most powerful analytics in everyone’s hands, and your organization will reap the rewards. With SAS, you can:

  • Find the metrics that matter most. Spot correlations. Pinpoint exceptions. Forecast trends. Predict outcomes. Quickly. Visually. And gain a competitive advantage without building models.
  • Expand your analytics culture. With approachable analytics that anyone can use and understand, you’ll foster acceptance and encourage adoption.

  • Go way beyond descriptive analytics. What do you get when you combine interactive discovery with self-service analytics? A collaborative environment where everyone can answer why? and what’s next?
    • Business intelligence with brains and brawn. Identify and share insights and performance metrics based on foresight, not hindsight. We’ve combined BI tools with analytics – backed by more than 40 years of expertise – to give you THE POWER TO KNOW ® .
    • A smarter way to run your business. Behind-the-scenes algorithms – to detect what’s significant and relevant – along with brilliant visualizations present data in the best possible way for quick assessment. So you won’t miss important, contextual findings.

  • Easy enough for anyone. You don’t have to be a power user to benefit from analytics. Our drag-and-drop approach lets you change queries quickly, so there are no barriers to experimentation and discovery.
  • Ready to take the next step toward getting the most value from your data? We offer several different technology, deployment and financing options, depending on your needs.

    Business analytics

    Interactive Reporting Dashboards

    Anyone can do it.

    Yes, it is possible to satisfy both business users (who want to create their own BI content) and IT (who wants to selectively manage and govern it). With SAS, you can:

    • Do it yourself, and set IT free. The self-service, ad hoc reporting environment lets you create distribution-quality reports and analytics dashboards without burdening IT. No more waiting; you’re in control.

  • Keep governance alive. IT can select business-user-generated BI content for production to promote proper governance.
  • Enjoy the freedom of self-service data preparation. Basic capabilities for data access, mashup, filtering and data transformation are built into our BI tools – just right for the business analyst.
    • Closing the gap. A managed, self-service BI approach will close the gap between business and IT – not drive them further apart. You’ll reduce risks and gain the flexibility to act quickly.
    • Equal opportunity, whether executive, analyst or citizen data scientist. Share reports, charts and analytic content via the web, PDF files or mobile devices. Improve business knowledge and productivity. And make informed decisions.

  • Consumer-grade interactivity. Enable business-user-led report authoring and reshaping using only items of interest. Easily embed reports and charts with other content sources, applications or portals while retaining full interactivity.
  • Ready to take the next step toward getting the most value from your data? We offer several different technology, deployment and financing options, depending on your needs.





    Business Analytics – Overview, Oracle, business analytics.#Business #analytics

    Oracle Business Analytics

    Business analytics

    • Overview
    • Roles
    • Products
    • Resources
    • Get Started

    Explore Oracle Analytics

    What Is Analytics?

    Every organization has the need for analytics that is, every organization has data they need to gather, analyze, and interpret. But that is easier said than done. As technology evolves and the amount of data and data sources grow exponentially, you may have little or no time to rethink your analytics initiatives to change with a fast-paced business environment. Accessing new data sources, and being able to determine what is valuable and what is noise, is no easy feat. Without the time or means to evolve or technology that s flexible enough to grow with the business you can only achieve the status quo. Innovation will have to wait.

    Great analytics helps you uncover solutions to your business challenges. When analytics is incorporated as a fundamental component of your ongoing business strategy, everyone in your organization is empowered to: understand what happened, why it happened, and leverage that data to predict what will happen next.

    Analytics initiatives conform to whatever business you are in and adjust to diverse user needs. For example, marketing pros use analytics to measure campaign results and ROI, harnessing that data to ensure that the right offers are delivered to customers at the right time, and can predict what your buyers will respond to next. HR captures insights about employees and potential talent, and uses that data to optimize recruitment, retain top performers, and even predict turnover talent across the enterprise. IT staff has different priorities: providing the reports and dashboards that enable users to dig into data on their own, while maintaining data governance and security. To be truly effective, a comprehensive analytics solution must combine dynamic self-service discovery with enterprise reporting and advanced analytics capabilities. From an administration perspective, that means governance and flexibility, access to any type of data source, as well as data preparation and analysis capabilities for all users.

    Uncover New Opportunities

    Advancements in analytics technology are creating new opportunities for you to capitalize on your data. Modern analytics are predictive, self-learning, and adaptive to help you uncover hidden data patterns. They are intuitive as well, incorporating stunning visualizations that enable you to understand millions of rows and columns of data in an instant. Modern analytics are mobile and easy to work with. And they connect you to the right data at the right time, with little or no training required.

    Oracle Analytics delivers a comprehensive and secure platform that takes into account the various needs of your users with solutions that connect them to the information they require. Whether your department has 2 users or 2,000 users, you can scale up or down as needed, and derive meaningful insights from a variety of data sources and data types both structured and unstructured. With the flexibility to run your analytics in the cloud, on premises, or both, no data is off limits.

    The workforce is changing, and with that change brings a new way to work. Keep up with the demands of today s tech-savvy workforce that expects to get up and running quickly. Deliver speed and simplicity to your users while maintaining the highest standards for data quality and security. A centralized analytics platform where IT plays a pivotal role should be a fundamental part of your analytics strategy. The combination of both business-led and IT-led initiatives is the sweet spot for innovation.

    You want to see the data signals before your competitors do – analytics provides the ability to see a high def image of your business landscape. By mashing up personal, corporate, and big data, you can quickly understand the value of the data, share your data story with colleagues and do it all in a matter of minutes. Data visualization is key to this simplicity and it is embedded into all of Oracle s analytic solutions from mobile to desktop, department to enterprise, and on premises to cloud. Only Oracle delivers the continuity of experience for fueling analytical productivity.

    On the Go Analytics with Mobile

    Mobile analytics is nothing new. Oracle brings a new level of productivity to your mobile device with a location-aware assistant. Oracle s mobile analytics solutions not only support voice recognition and mobile authoring; they also look at your digital footprint to notify you of insights relevant to your upcoming meetings. Content is continuously delivered to your phone to give you meaningful analytics depending on what is going in your business. Sharing and collaborative capabilities are provided so that you can ensure your team members are all on the same page.

    It all begins with a centralized analytics platform. With the ability to connect to any data source, database, or application (cloud or on premises), you can be confident that your data insights will represent a complete understanding of your business.





    Business analytics#Business #analytics

    Business Analytics

    This course introduces you to designing and publishing reports with IFS Business Analytics 3.0.

    Business Analytics is a part of the Business Intelligence suite of reporting and analysis tools. IFS/Business Analytics is a business intelligence solution that extends Microsoft Excel from a desktop productivity tool to a full-fledged enterprise-scale client for reporting and analysis. You will learn how to design Business Analytics reports, charts, and pivot tables, publish and schedule reports, enable drill-down and zoom-in to create interactive reports, and utilize writeback to update budgets.

    WHO SHOULD ATTEND

    Business Analytics is principally built as a financial and project reporting tool, but can be used more broadly. Anyone involved in reporting utilizing IFS data is encouraged to attend.

    PREREQUISITES

    Basic knowledge of Excel is required. SQL/PLUS is recommended, but not required.

    VERSION

    IFS Business Analytics 3.0 with IFS Applications 7.5 SP5 and above.

    LENGTH

    COURSE DESCRIPTION

    Hands-on exercises are used to walk through the features of Business Analytics. Topics include:

    • Design Basic and Advanced reports
    • Understand Business Analytics multi-dimensional Information Sources
    • Use Business Analytics to create Excel Charts and Pivot Tables
    • Create interactive reports with Zoom-In and Drill Down features
    • Use Filters and Parameters to make reports more flexible
    • Save, Publish, and Schedule Reports
    • Link reports to documents in IFS Document Management
    • Understand Writeback feature
    • Create reports based upon an organizational structure
    • Tips and tricks

    PROTOTYPING YOUR REPORTS

    Customers wishing to apply newly acquired Business Analytics skills may add an additional day immediately following presentations and exercises. Students take the lead in the development of reports utilizing existing BA Information Sources and your IFS instructor advises. Come to this session with one or two sample reports you wish to create using Business Analytics.





    Business Analytics: Executive Degree Programs: Kelley School of Business: Indiana University, business

    Executive Degree Programs

    Business analytics

    Graduate Certificate in Business Analytics

    Business Analytics

    Business analytics specialists are in demand across the global market.

    Data. Every company produces it. But not every company is leveraging it. Why? Because many times, companies don t have the right person to lead the charge. Data alone can t provide clear-cut recommendations.

    Program dates and deadlines

    Enhance your analytical skills in less than 12 months.

    The Kelley School of Business is one of the top 20 business schools in the country. The course content offers the scope and depth of knowledge and expertise found in any Kelley School of Business classroom.

    Business analytics courses combine the skills, technologies, applications and processes used by organizations to gain data-driven insights. These insights can be used to aid decision-making across functions including finance, marketing and operations.

    Certificate cost and requirements

    Professional certificates from the Kelley School of Business are designed to be flexible and cost-effective.

    Your Business Analytics Certificate will:

    • Total 12 credit hours
    • Cost $1,145 per credit hour
    • Be completed over the course of 12 months
    • Consist of four courses, 3 credits per course, taught sequentially
    • Be completed fully online
    • Not require GMAT/GRE scores

    A bachelor s degree is required for this certificate.

    Transfer your certificate credits to an online degree program

    Earning a professional certificate is a low-risk way for you to explore a field of business, and decide if you want to continue developing your expertise in that area.

    Executive Degree Programs makes it easy for you to earn an MBA or MS online. Simply apply your certificate credits to your MS degree requirements.

    You can apply your certificate credit to the following degrees:

    Course curriculum

    The three components of the business analytics curriculum are:

    Business analytics

    Business analytics

    Business analytics

    Of your four required courses, your first will provide an overview of business analytics. The remaining three courses will each focus on one of the components listed above.

    C531: Introduction to Business Analytics

    • Define and explain the business analytics process (problem definition; data preparation; technical analysis and modeling; evaluation of results; implementation and deployment).
    • Understand and describe the functionality and role of analytic techniques in data mining and predictive analytics.
    • Perform basic and advanced analytics tasks with JMP and Excel.
    • Construct, validate, and interpret data mining and predictive analytics models using large multivariate data sets.
    • Apply data mining and predictive analytic techniques to problems in areas such as fund raising, retailing, direct marketing, market segmentation, bankruptcy prediction, credit scoring, and fraud detection.
    • Perform data exploration to evaluate variables for data mining and to suggest and implement approaches to handle data problems such as missing values, outliers, and skewed distributions.
    • Compute and interpret key predictive accuracy measures and methods including lift charts, gain charts, and ROC curves.

    C533: Data Warehousing Visualization

    • Understand and utilize unsupervised models including principal components analysis, cluster analysis, and market basket analysis. Understand business intelligence-related concepts
      • The notion of corporate information factory.
      • Dashboards and scorecards that support the businesses.
      • Different types of problems related to data quality including a methodology for maintaining data quality.
      • An overview of variety of software tools that are employed in the development of a data warehouse: ETL (extraction, transformation and loading) and analytic tools.
    • Recognize some of the key issues for managerial considerations
      • The tools of metrics in decision making
      • Types of business risks along with how to alleviate the risks associated with implementing informational systems
      • Issues related to data governance
    • Be cognizant of a variety of tools and techniques

    C534: Simulation and Optimization for Business Analytics

    • Develop analytical models using simulation and optimization to analyze and recommend sound solutions to complex business problems
    • Develop models to provide solutions to operational problems in various business functional areas including finance, economics, operations, and marketing
    • Solve complex problems using various tools on spreadsheets; including Excel solver for linear and integer programming problems, @RISK for probabilistic simulations, and risk analysis
    • Undertake input and output statistical analysis for simulation models
    • Solve complex optimization problems using the ILOG-CPLEX package

    C535: Developing Value through Business Analytics Applications

    • Understand how various analytical techniques and tools are used to analyze complex business problems and derive business value for applications
    • Apply analytical techniques to various retail and marketing problems; including determining customer value and using the concept to aid in business decision making by allocating marketing expenditures between customer acquisition and customer retentions (Marketing Analytics)
    • Apply EXCEL financial functions (XIRR, XNPV, FV, PV, PMT, CUMPRINC, and CUMIPMT) and develop models to solve financial problems on spreadsheets (Financial Analytics)
    • Develop inventory models under uncertainty including service level and reorder point models for supply chains (Supply Chain Analytics)
    • Deploy analytics, such as aggregate planning models in production planning and scheduling (Operations Analytics)
    • Use Data Envelopment Analysis (DEA) in solving various healthcare problems (Healthcare Analytics)

    Apply now for the Business Analytics Graduate Certificate.

    Part 1: Kelley Application: fill out this online application first.

    Part 2: Indiana University Application.

    After you fill out the Kelley application, you ll receive an email with instructions on how to apply through the IU application. During this Part 2 application, you will upload the following materials to complete your application.

    • Resume Provide a copy of your resume, summarizing your professional experiences and accomplishments.
    • Personal Statement Tell us what you want to achieve in this program in 500 words or less.
    • Letter of Recommendation Ask someone who knows your professional career to write a letter of recommendation for you. Provide the contact information of your recommender within the application. An email prompt will be sent to their email address, and they will be able to fill out a form and upload additional material. If you need alternative arrangements, please contact [email protected]
    • Post-Secondary Transcripts Provide copies of your transcripts from all of the post-secondary institutions you ve attended. These copies can be sent to the program manager, or uploaded into the Part 2 Application.

    If you have any questions about the application process, or you want to send your transcripts by mail, contact:





    Centricity Business Analytics, business analytics.#Business #analytics

    Business Analytics

    Harness real-time insights for better business results

    Data that’s out of context and out of date can derail even the best efforts to proactively manage labor-related challenges, such as adjusting staff skill levels/competencies and controlling staffing costs.

    Designed specifically for the 24/7 healthcare environment, our integrated Centricity TM Business Analytics delivers deep insight into all areas that impact your ability to deliver high quality care while controlling labor costs.

    Did you know? Healthcare executives say their top workforce management issues are controlling overtime and improving the skill level/competency mix.

    Optimize resource distribution by accessing a broad view of labor across every department, allowing you to quickly spot trends and make agile adjustments.

    Empower managers with real-time labor analytics to make on-the-fly staffing adjustments. Our solution doesn’t just point out problems; it shows how to fix them.

    Meet quality care goals by ensuring properly skilled staff are in the right place at the right time.

    Control overtime with business analytics that profile your labor landscape in dollars as well as hours.

    Prevent avoidable overtime with labor analytics that compare actual time worked with future schedules, alerting them to incidental and preventable overtime.

    Make targeted moves to increase productivity by accessing time and attendance data to evaluate staff efficiencies in relation to work performed. Understanding where to improve efficiencies is key to keeping performance elevated and quality high

    Now more than ever, creating a link between the clinical and financial sides of the healthcare business is essential to delivering cost-effective, quality patient care enterprise-wide. To learn more about how we can help, we invite you to read:





    Business Analytics Platforms & Solutions for BI, SAP, business analytics.#Business #analytics

    Business Analytics

    SAP Analytics Portfolio – Modern Analytics for the Digital Enterprise white paper

    • Business intelligence platform
    • Data visualization and analysis
    • Dashboards
    • Mobile analytics
    • Reporting
    • Predictive data modeling
    • Predictive data management
    • Model management
    • Scoring
    • Predictive network and link analysis
    • Strategy management
    • Planning, budgeting, and forecasting
    • Profitability and cost management
    • Financial consolidation
    • Enterprise reporting and disclosure

    Realize the power of cloud analytics

    analysis and decision making.В

    Transform data into insight with

    SAP Leonardo Analytics

    Gain fast and accurate insight across your business with SAP Leonardo Analytics capabilities. Utilize across-the-board analytics capabilities that work together to analyze data from all sources for enterprises of all sizes.

    Solve your specific analytics needs

    SAP Analytics Portfolio – Modern Analytics for the Digital Enterprise white paper

    Analytics that keep users – and IT – happy

    Get the facts

    SAP Analytics Portfolio – Modern Analytics for the Digital Enterprise white paper

    SAP Analytics Portfolio – Modern Analytics for the Digital Enterprise white paper

    SAP Analytics Portfolio – Modern Analytics for the Digital Enterprise white paper

    See how customers are succeeding with SAP

    Live Oak: Making smart decisions in real time

    Live Oak is a modern bank that uses the latest technology to differentiate itself in the marketplace. Learn why the bank chose SAP Analytics Cloud to help employees answer tough questions and make decisions in real time.

    mBank: Improving campaign effectiveness by 200%

    Find out how Poland’s largest online bank is using SAP Predictive Analytics to anticipate future demand for 4.5 million customers. Now mBank can provide the most relevant offers and promotions to specific customer groups.

    Lexmark: Running 50% faster consolidation cycles

    How did Lexmark cut consolidation times in half?В By deploying SAP Business Planning and Consolidation powered by SAP HANA. Learn how the company is using the EPM software to centralize strategic planning, forecasting, budgeting, and consolidation processes.

    Choose the market-leading analytics software

    Can your analytics tools deliver 171% ROI?

    The Value of Data and Analytics in Digital Transformation

    Digital transformation has become a broad-level initiative at many companies. A key part of this investment is being focused on data and analytics. SAP recently posed several questions to Dan Vesset, group vice president of IDC’s Analytics and Information Management research, on behalf of SAP’s customers.

    Get fresh perspectives from experts

    SAP Analytics Portfolio – Modern Analytics for the Digital Enterprise white paper

    Democratizing Decision Making with Analytics

    How important is analytics in helping organizations understand, visualize, and assess all the complex data coming out of their business processes, broader organization, and customers? Listen to Ray Wang from Constellation as he makes sense of all the data that organizations are now trying to work with.





    IBM Analytics – Analytic Solutions for Business, business analytics.#Business #analytics

    Exploring the dark side of SETI data

    IBM data analytics and visualization map the search for extraterrestrial life

    Why IBM Analytics?

    Business analytics

    Get your data-apps on!

    Build super fast, data-driven apps with ease. Caleb The Video Maker tells you how.

    Business analytics

    To be data-driven you need a data catalog.

    Test drive ours today.

    Solutions

    Data Management

    Powerful data management solutions for complex hybrid environments

    Unified Governance and Integration

    Discover, integrate and govern data to drive better business insights while mitigating compliance risks

    Enterprise Content Management

    Access, analyze and act on business content

    Data Science

    Empower your team with the capabilities and collaboration they need to drive business results

    Business Analytics

    Fuel creativity, find new opportunities, and act on practical insights and answers hidden in your data

    Big Data

    Employ the most effective big data technology

    Enterprise Analytics

    Put enterprise data to work for real time analytics

    Watson Data Platform

    Build smarter applications and quickly visualize, share, and gain from your data with Watson Data Platform

    Business analytics

    SPSS Statistics

    Perform statistical analytics on data

    Business analytics

    InfoSphere Information Governance Catalog

    Create, share and manage data assets

    Business analytics

    Db2 Developer Edition

    Develop, test and demo database apps

    Business analytics

    Db2 on Cloud

    Deploy, scale and optimize Db costs

    Business analytics

    Watson Analytics

    Discover, analyze and visualize data

    Business analytics

    Cognos Analytics

    Get self-serve BI and reporting

    Gain unique advantage

    Gartner Magic Quadrant for Data Science

    Learn why IBM is recognized as a leader in data science platforms.

    Read the report

    Forrester Wave: Predictive Analytics and Machine Learning

    Find out why IBM is a leader in the 2017 report.

    Read the report

    Gartner Magic Quadrant for Enterprise Content Mgmt

    Learn why IBM has been positioned as a leader in Enterprise Content Management.

    Read the report

    Forrester Wave: Big data and Hadoop cloud solutions

    See the 37 criteria that qualifies IBM as a leader.

    Read the report

    Gartner Magic Quadrant for Meta Data Management

    Check out the latest MQ report from Gartner and learn why IBM is a leader.

    Read the report

    Gartner Magic Quadrant for Data Integration Tools

    Read more on IBM Leadership in data Integration, BI, governance.





    Business Analytics Platforms & Solutions for BI, SAP, business analytics.#Business #analytics

    Business Analytics

    SAP Analytics Portfolio – Modern Analytics for the Digital Enterprise white paper

    • Business intelligence platform
    • Data visualization and analysis
    • Dashboards
    • Mobile analytics
    • Reporting
    • Predictive data modeling
    • Predictive data management
    • Model management
    • Scoring
    • Predictive network and link analysis
    • Strategy management
    • Planning, budgeting, and forecasting
    • Profitability and cost management
    • Financial consolidation
    • Enterprise reporting and disclosure

    Realize the power of cloud analytics

    analysis and decision making.В

    Transform data into insight with

    SAP Leonardo Analytics

    Gain fast and accurate insight across your business with SAP Leonardo Analytics capabilities. Utilize across-the-board analytics capabilities that work together to analyze data from all sources for enterprises of all sizes.

    Solve your specific analytics needs

    SAP Analytics Portfolio – Modern Analytics for the Digital Enterprise white paper

    Analytics that keep users – and IT – happy

    Get the facts

    SAP Analytics Portfolio – Modern Analytics for the Digital Enterprise white paper

    SAP Analytics Portfolio – Modern Analytics for the Digital Enterprise white paper

    SAP Analytics Portfolio – Modern Analytics for the Digital Enterprise white paper

    See how customers are succeeding with SAP

    Live Oak: Making smart decisions in real time

    Live Oak is a modern bank that uses the latest technology to differentiate itself in the marketplace. Learn why the bank chose SAP Analytics Cloud to help employees answer tough questions and make decisions in real time.

    mBank: Improving campaign effectiveness by 200%

    Find out how Poland’s largest online bank is using SAP Predictive Analytics to anticipate future demand for 4.5 million customers. Now mBank can provide the most relevant offers and promotions to specific customer groups.

    Lexmark: Running 50% faster consolidation cycles

    How did Lexmark cut consolidation times in half?В By deploying SAP Business Planning and Consolidation powered by SAP HANA. Learn how the company is using the EPM software to centralize strategic planning, forecasting, budgeting, and consolidation processes.

    Choose the market-leading analytics software

    Can your analytics tools deliver 171% ROI?

    The Value of Data and Analytics in Digital Transformation

    Digital transformation has become a broad-level initiative at many companies. A key part of this investment is being focused on data and analytics. SAP recently posed several questions to Dan Vesset, group vice president of IDC’s Analytics and Information Management research, on behalf of SAP’s customers.

    Get fresh perspectives from experts

    SAP Analytics Portfolio – Modern Analytics for the Digital Enterprise white paper

    Democratizing Decision Making with Analytics

    How important is analytics in helping organizations understand, visualize, and assess all the complex data coming out of their business processes, broader organization, and customers? Listen to Ray Wang from Constellation as he makes sense of all the data that organizations are now trying to work with.





    Business analytics#Business #analytics

    Business Analytics

    This course introduces you to designing and publishing reports with IFS Business Analytics 3.0.

    Business Analytics is a part of the Business Intelligence suite of reporting and analysis tools. IFS/Business Analytics is a business intelligence solution that extends Microsoft Excel from a desktop productivity tool to a full-fledged enterprise-scale client for reporting and analysis. You will learn how to design Business Analytics reports, charts, and pivot tables, publish and schedule reports, enable drill-down and zoom-in to create interactive reports, and utilize writeback to update budgets.

    WHO SHOULD ATTEND

    Business Analytics is principally built as a financial and project reporting tool, but can be used more broadly. Anyone involved in reporting utilizing IFS data is encouraged to attend.

    PREREQUISITES

    Basic knowledge of Excel is required. SQL/PLUS is recommended, but not required.

    VERSION

    IFS Business Analytics 3.0 with IFS Applications 7.5 SP5 and above.

    LENGTH

    COURSE DESCRIPTION

    Hands-on exercises are used to walk through the features of Business Analytics. Topics include:

    • Design Basic and Advanced reports
    • Understand Business Analytics multi-dimensional Information Sources
    • Use Business Analytics to create Excel Charts and Pivot Tables
    • Create interactive reports with Zoom-In and Drill Down features
    • Use Filters and Parameters to make reports more flexible
    • Save, Publish, and Schedule Reports
    • Link reports to documents in IFS Document Management
    • Understand Writeback feature
    • Create reports based upon an organizational structure
    • Tips and tricks

    PROTOTYPING YOUR REPORTS

    Customers wishing to apply newly acquired Business Analytics skills may add an additional day immediately following presentations and exercises. Students take the lead in the development of reports utilizing existing BA Information Sources and your IFS instructor advises. Come to this session with one or two sample reports you wish to create using Business Analytics.





    IBM Analytics – Analytic Solutions for Business, business analytics.#Business #analytics

    Exploring the dark side of SETI data

    IBM data analytics and visualization map the search for extraterrestrial life

    Why IBM Analytics?

    Business analytics

    Get your data-apps on!

    Build super fast, data-driven apps with ease. Caleb The Video Maker tells you how.

    Business analytics

    To be data-driven you need a data catalog.

    Test drive ours today.

    Solutions

    Data Management

    Powerful data management solutions for complex hybrid environments

    Unified Governance and Integration

    Discover, integrate and govern data to drive better business insights while mitigating compliance risks

    Enterprise Content Management

    Access, analyze and act on business content

    Data Science

    Empower your team with the capabilities and collaboration they need to drive business results

    Business Analytics

    Fuel creativity, find new opportunities, and act on practical insights and answers hidden in your data

    Big Data

    Employ the most effective big data technology

    Enterprise Analytics

    Put enterprise data to work for real time analytics

    Watson Data Platform

    Build smarter applications and quickly visualize, share, and gain from your data with Watson Data Platform

    Business analytics

    SPSS Statistics

    Perform statistical analytics on data

    Business analytics

    InfoSphere Information Governance Catalog

    Create, share and manage data assets

    Business analytics

    Db2 Developer Edition

    Develop, test and demo database apps

    Business analytics

    Db2 on Cloud

    Deploy, scale and optimize Db costs

    Business analytics

    Watson Analytics

    Discover, analyze and visualize data

    Business analytics

    Cognos Analytics

    Get self-serve BI and reporting

    Gain unique advantage

    Gartner Magic Quadrant for Data Science

    Learn why IBM is recognized as a leader in data science platforms.

    Read the report

    Forrester Wave: Predictive Analytics and Machine Learning

    Find out why IBM is a leader in the 2017 report.

    Read the report

    Gartner Magic Quadrant for Enterprise Content Mgmt

    Learn why IBM has been positioned as a leader in Enterprise Content Management.

    Read the report

    Forrester Wave: Big data and Hadoop cloud solutions

    See the 37 criteria that qualifies IBM as a leader.

    Read the report

    Gartner Magic Quadrant for Meta Data Management

    Check out the latest MQ report from Gartner and learn why IBM is a leader.

    Read the report

    Gartner Magic Quadrant for Data Integration Tools

    Read more on IBM Leadership in data Integration, BI, governance.





    What is business analytics (BA)? Definition from #business #intelligence #tools

    #business analytics

    #

    business analytics (BA)

    Business analytics (BA) is the practice of iterative. methodical exploration of an organization’s data with emphasis on statistical analysis. Business analytics is used by companies committed to data-driven decision making.

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    Migrating Your BI into the Cloud

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    BA is used to gain insights that inform business decisions and can be used to automate and optimize business processes. Data-driven companies treat their data as a corporate asset and leverage it for competitive advantage. Successful business analytics depends on data quality. skilled analysts who understand the technologies and the business and an organizational commitment to data-driven decision making.

    Examples of BA uses include:

    • Exploring data to find new patterns and relationships (data mining )
    • Explaining why a certain result occurred (statistical analysis, quantitative analysis)
    • Experimenting to test previous decisions (A/B testing, multivariate testing)
    • Forecasting future results (predictive modeling. predictive analytics )

    Once the business goal of the analysis is determined, an analysis methodology is selected and data is acquired to support the analysis. Data acquisition often involves extraction from one or more business systems, cleansing, and integration into a single repository such as a data warehouse or data mart. The analysis is typically performed against a smaller sample set of data. Analytic tools range from spreadsheets with statistical functions to complex data mining and predictive modeling applications. As patterns and relationships in the data are uncovered, new questions are asked and the analytic process iterates until the business goal is met. Deployment of predictive models involves scoring data records (typically in a database) and using the scores to optimize real-time decisions within applications and business processes. BA also supports tactical decision making in response to unforeseen events, and in many cases the decision making is automated to support real-time responses.

    While the terms business intelligence and business analytics are often used interchangeably, there are some key differences:

    Answers the questions:

    Why did it happen?

    Will it happen again?

    What will happen if we change x ?

    What else does the data tell us that never thought to ask?

    Reporting (KPIs, metrics)

    Automated Monitoring/Alerting (thresholds)

    OLAP (Cubes, Slice Dice, Drilling)

    Recognizing the growing popularity of business analytics, business intelligence application vendors are including some BA functionality in their products. More recently, data warehouse appliance vendors have started to embed BA functionality within the appliance. Major enterprise system vendors are also embedding analytics, and the trend towards putting more analytics into memory is expected to shorten the time between a business event and decision/response.

    This was last updated in August 2010

    Next Steps

    Expert Wayne Kernochan provides an overview of the different types of business intelligence analytics tools on the market.

    Continue Reading About business analytics (BA)

    Related Terms

    data science Data science is the study of where information comes from, what it represents and how it can be turned into a valuable resource. See complete definition metadata management Metadata management is the oversight of data associated with data assets to ensure that information can be integrated, accessed. See complete definition process intelligence (business process intelligence) Process intelligence is data that has been systematically collected to analyze the individual steps within a business process or. See complete definition

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    Business Analytics – a-b – Vrije Universiteit Amsterdam #business #card #designs

    #business analytics

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    Business Analytics

    Find expert solutions to today s complex business problems

    The Master’s in Business Analytics (BA) is a multidisciplinary programme, aimed at improving business processes by applying a combination of methods based on mathematics, computer science and business management. You will be trained in recognizing and solving in-company problems. BA is a hands-on programme: you will use your expertise in the various fields to improve business practices by examining and analysing real-world situations as faced by companies daily.

    Construct, implement and assess solution approaches
    Theories from Business Analytics are typically applied to areas such as supply chain planning, data mining, call centre management, revenue management and risk management. The Master’s programme will deepen your knowledge in these areas and give you the opportunity to specialize in business process optimization, computational intelligence and financial risk management. Combining the knowledge you acquire and applying it to practical situations plays an essential role in the programme. The Master’s degree is concluded with a six-month individual internship at a
    company (the Master’s project).

  • Aanmelden voor: 1 June for Dutch students. 1 April for EU/EEA and non-EU/EEA students.* * EU/EEA students with an international degree who do not need housing services through Vrije Universiteit Amsterdam University Amsterdam can still apply until 1 June.
    • Startdatum: 1 September
      1 February
    • Vorm: Duaal, Voltijd
    • Interessegebied: Informatica, Wiskunde en Bedrijf
    • Specialisaties: Business process optimization / Computational intelligence / Financial risk management




    Business Data Analytics #vending #business

    #business data

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    Arkansas Tech University

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    Business Data Analytics

    The Business Data Analytics major prepares students for a career in business data analysis. These professionals analyze data to support business decisions and strategy and to creatively solve business problems. Specific data analyst job descriptions depend on the responsibilities of the particular industry in which the data analyst is working. For example, a data analyst working in the health care sector will be expected to perform data analysis with respect to patient outcomes, customer and insurance payment patterns, drug interactions, infection rates, geographic health care service densities, and other types of health care data. Similarly, a data analyst working in customer relationship management will be expected to perform data analysis with respect to customer buying patterns, identifying the best and worst customers, identifying different customer types, detecting fraud, and identifying opportunities for cross-selling and up-selling. A data analyst responds to client or management requests for information and may have to develop methodologies and files for effective data management.

    Resources

    Contact

    A data analyst is able to retrieve, manipulate, and analyze data from multiple sources. He or she works with data using a variety of tools, platforms, and techniques and interprets the results in a clear, understandable way. These professionals create and report actionable information in a professional manner. Through a strong understanding of software, database/data warehouse, and research tools, the Business Data Analyst combines an understanding of business functional requirements, information resources, and systems applications of a firm to create and manage meaningful business intelligence to achieve business strategic success.

    Specific objectives of the program are to provide students who select the Business Data Analytics major with the following:
    1. Ability to use technology to manage and analyze data to create information to support business decisions and solve business problems.
    2. Overall communication skills in the context of determining information requirements and conveying business data analysis results to clients.
    3. Ability to think critically and reason effectively about the quality of data and data analysis procedures in the context of creating information to solve business problems.
    4. Ethical awareness and ethical decision-making framework in a business data analysis context.
    5. Ability to use foundation business knowledge in data analysis in a diverse, global environment.
    The Business Data Analytics program course examination procedures include:
    • Case analysis
    • Semester research papers/projects
    • Practical computer skills proficiency projects
    • Multiple choice/short answer/essay exams

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    For general information call (844) 804-2628
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    Business Information and Analytics Systems #business #simulation #games

    #business information

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    Graduate Studies Office

    Business Information and Analytics Systems MSc

    College: Business and Law

    Duration: 12 months Full-time

    Teaching Mode: Full-time

    Costs: 2016/2017 Irish/EU fee €9,000. There will be field trips which are not covered by the course fee.

    2016 Entry Requirements: See detailed entry requirements

    Closing Date: EU Applicants: Open For Late Applications 2016.

    Next Intake: September 2016

    Business Analytics enables organisations exploit the data and IS systems at its disposal to maximise organisational performance. Students will develop the skills necessary to gain business insights to improve decision-making.

    The MSc in Business Information and Analytics Systems provides students with a portfolio of business and analytical methods for solving problems and supporting decision making. The MSc BIAS provides students with a specialism in Business Analytics as well as an extensive knowledge of business and IS concepts. At the core of this programme is a selection of topics covering cloud technologies, Business Intelligence and Business Analytics, IT performance management. data management and IT project management. A research project will allow student groups to explore and develop an IT solution to a specific business problem in an area specific to the Business Information and Analytics area.

    Business Analyst and Project Manager are listed as two of the top ten jobs in the IS / IT sector[1]. The MSc Business Information and Analytics (MSc BIAS) is designed to provide students with the skillset to be successful in these roles. Organisations today need people who know how to manage and store data that helps them make better business decisions, compared to years ago when businesses didn’t have data management at their fingertips to review and analyse to help them drive business forward.

    The MSc in Business Information and Analytic Systems degree offers a specialisation in Business Analytics with modules such as:

    • Design thinking for the Business Analyst
    • Business Data Strategy
    • Data Visualisation
    • Business Analytics and Business Intelligence
    • Cognitive Decision Making and DSS

    These modules will allow students to acquire the skills to mine and analyse data in ways that will enable more informed decision making and result in better outcomes for the organisation. How organisations capture, create and use data is changing the way we work and live. Businesses have more data readily available than ever before and are aware of the need to understand the underlying messages that are held within their data. However, discovering and identifying the underlying message requires a higher level of thinking and analysis.

    Additionally the course offers a curriculum of core IS modules including:

    • Cloud Technology
    • Data Acquisition and Management
    • Project Management
    • IT and Organisational Performance
    • Enterprise Business Processes

    These core modules provide students with the technical skills and techniques needed by organisations to explore organisational issues and support decision-making within a business context. These skills are essential in any organisation where IT is integral to the success of the business. A group research project facilitates students in the practical application of the Information Systems and Business analytical skills that are acquired during the programme.

    Eligibility for the MSc BIAS requires candidates to have a 2.2 primary degree at NFQ Level 8 Honours Degree or equivalent, with appropriate information systems or computing technology skills content. You may also be admitted to the course on the basis of extensive practical or professional experience, as deemed appropriate by the Professor of Business Information Systems and the School of Business. Typical students are from technical disciplines such as, Management Information Systems (MIS) or Business Information Systems (BIS), engineering, computer science and mathematics. It is also suitable for business and humanities graduates who have studied computer science and Business Information Systems (BIS) subjects with some computer programming content.

    Application for this programme is on-line at www.pac.ie/ucc. Places on this programme are offered in rounds. The closing dates for each round can be found here. For full details of the application procedure click How to apply.

    Please note that you will be asked to fill in a supplementary form as part of the application process for this programme. A copy of this form is available here CKL51 MSc (Business Information Analytical Systems Suppl Form (17kB)

    All required documentation must be sent in hard copy to The Postgraduate Applications Centre, 1, Courthouse Square, Galway.

    The School of Law uses a system of offer rounds to facilitate decision-making and early notification to applicants. Candidates are encouraged to apply as early as possible. Candidates who do not have their final degree marks available may be made a conditional (provisional) offer.

    New applications will continue to be reviewed at each round if there are still programme places available.

    16 lecture hours per week, with 2 hours of lab work per week. Between 3 and 5 field trips will be organised throughout the year. Group project work continues to early July at the latest, concluding the formal course content. However, students may be required to complete an individual essay in their own time up until the end of July/early August.

    A hybrid approach to assessment is used in this programme. Assessments methods include formal written exams, essays, group and individual project work and some lab practicals. Some modules are 100% continuous assessment and most modules have a minimum of 40% continuous assessment. During the programme, students will work individually and in groups. A strong emphasis is placed on oral presentation of work.

    The course is taught by academic staff from the Cork University Business School. The academics who teach on the course are experts in their field. These lecturers all have PhDs and/or significant industry experience. Several of the Faculty have worked previously at leading IT organisations, major banks and research agencies. Our academic staff are also engaged in research with involvement in or leadership of research centers in UCC, and publish regularly in international peer-reviewed IT / IS and business journals.

    Name: Dr Mary Daly





    7 Best Uses for Predictive Analytics and Modeling in Multichannel Marketing #predictive


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    The 7 Best Uses for Predictive Analytics in Multichannel Marketing

    Las Vegas-based Caesars Entertainment Corporation may never say “Et tu, Brute ?” to its data. Betrayal may never happen because the gambling empire exemplifies how direct marketers can grasp customers’ multichannel touchpoints with predictive analytics and spin single views of the customers into gold, says Jeff Zabin. research director at Evanston, Ill.-based research firm Gleanster .

    Zabin says other marketers can learn from Caesars because the company “is incredibly sophisticated when it comes to direct marketing predictive analytics tactics. Activities skew towards direct mail, but also incorporate mobile and email as part of a multichannel strategy.” The calculations based on demographics and behavior are so specific they can be realized in mobile offers made while guests are on the casino floor or through daily email offers during a Vegas visitor’s five-day stay.

    Marketers hoping to rise to Caesars’ level by the Ides of March can follow this advice on the best uses of predictive analytics in multichannel campaigns, provided by:

    • Erick Brethenoux. executive program director of predictive analytics at Armonk, N.Y.-based IBM ;
    • James Kobielus. senior analyst at Cambridge, Mass.-based research company Forrester Research ;
    • Devyani Sadh. CEO of Wilton, Conn.-based Data Square. a business intelligence solutions provider;
    • Marcus Tewksbury. strategic solutions principle of marketing at UK-based marketing software company Alterian ; and
    • Zabin .

    1. Obtain a single view of the customer by focusing on customer data integration, Zabin says. “This is a prerequisite to predictive analytics and a critical success factor in multichannel marketing effectiveness. To increase response rates and propagate a single view of the customer across the organization, companies need to first integrate customer data, which includes resolving discrepancies in the spelling of customer names and various numerical identifiers. Customer data integration provides the foundation for deploying decision management systems that enable companies to deliver highly relevant customer experiences, services, messages and offers across multiple channels and touchpoints.”