Reporting & Dashboarding


June 16, 2016

Integrated Historical Metrics across Functions At the reporting and dashboarding level, companies construct models to align historical data and examine reasons behind past successes or failures to gain insight. Finance, sales, marketing, and operations typically rely on this type of analysis for management reporting. Business Intelligence tools provide sophisticated reporting, dashboards, and analytical tools for

Predictive Analytics


Predictive Analytics Value Proposition Predictive Analytics is now necessary for companies that want to remain profitable in an increasingly competitive business environment. Predictive Analytics offers: Advanced prediction capabilities to focus on forecasting all possible business outcomes Rapid analysis measured in hours or days, not weeks or months A focus on business relevance to solve real

Financial & Operational Performance Management


Financial Performance Management (FPM) and Financial and Operational Performance Management (FOPM) describe computer systems that support the effective and efficient management of any business. How well do your current systems empower your business? Here are some questions to consider: Is the strategic direction adequately aligned with measurable goals and employee incentives? Are the metrics reflecting

Decision Optimization


Optimization Offers a Solutions-centric Culture IBM’s Decision Optimization Center provides a platform to help businesses solve difficult planning and scheduling challenges with the use of analytics. Decision Optimization is the third component of analytics. It is the action step that works alongside descriptive and predictive tools. How Decision Optimization Is Used Decision Optimization is used

Data Warehousing & Information Management


ERP and Data Warehousing Enterprise resource planning (ERP) systems integrate and automate internal and external management of information. They allow for basic financial planning primarily by aggregating departmental budgets. They tend to provide static reporting rather than analysis, which often involves transforming the data to answer the question. Data warehouses are required because ERP systems

Cognitive Analytics


IBM positions cognitive computing as the third and most transformational phase in computing’s evolution, following the Tabulating Era and the Programming Era. Cognitive Analytics Takes on Traditional Software Traditional software systems (like ERPs, email systems, and productivity tools like Microsoft Excel) are all products of the Programming Era. They are deterministic. If given the same

Big Data Analytics


June 8, 2016

How can you realize the greatest value from big data? Big data analytics is the use of advanced analytic techniques to process very large, diverse data sets and types. This includes structured and unstructured data, streaming and batch data, and the various sizes of data, from terabytes to zettabytes. Big data is a term applied

Big Data


What Is Big Data? Big data is a term applied to data sets whose size or type is beyond the ability of traditional relational databases to capture, manage, and process the data with low-latency. Think of data before it is aggregated (and often partially discarded) and placed into a data warehouse. This can be data about


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