Posts Tagged ‘BI’

A health insurance client of mine recently embarked on an initiative to truly have “trusted data” in its Enterprise Data Warehouse so that business leaders could make decisions based on accurate data. However, how can one truly know if your data is trustable?? In addition to having solid controls in place (e.g., unique indexes on […]

In this blog I wanted to take some time to describe certain “behaviors” of Cognos TM1 TurboIntegrator processes. Access to Processes As of version 10.2 (or as of this writing), TM1 Server lists all processes (in alphabetical order) under the consolidation “Processes”. The visibility of processes can be controlled by implementing TM1 security. TM1 groups […]

IBM Cognos TM1 offers powerful enterprise planning, forecasting, and analysis capabilities. These benefits are best realized by extending the solution across departments for a consolidated, integrated planning process, leveraging business-specific financial models that mirror business strategy. Our years of experience implementing TM1 have shown an increasing demand on support personnel to coordinate data transferring and […]

In recent months, you’ve probably heard a thing or two about Power BI, the new cloud-centric BI front end tool set from Microsoft. Available to Office 365 SharePoint Online users, Power BI is a compelling new offering with advanced collaborative BI capabilities. Power BI includes PowerPivot, PowerView, Power Map, and Power Query. While these tools […]

A technology company has literally participated in thousands of projects over the years. At some point the group decided it wants to determine what factors or characteristics may influence the (hopefully successful) competition of current and future implementation projects. Thankfully, they have maintained records in on every project that they were involved in and that […]

Coming from a TM1 background (more business than statistics), it is easy to get stated with modeling once you determine your modeling objective, and Modeler can help with that. IBM SPSS Modeler offers an intuitive interface that will appeal to a wide range of users from the non-technical business user to the statistician, data miner […]

The discovering of relationships within data (between fields) is an important part of any data mining project (in the Crisp-DM methodology, this is described as part of the “Data Understanding” stage). This “relationship discovery” is part of developing a predictive model but is also helpful in answering specific business questions -perhaps even what originally motivated […]

I enjoyed an article today in IT Business Edge about the ways that Big Data is improving outcomes. We hear that all the time, right? But what does it really mean? Why does more (and better) patient data lead to improved healthcare for all? When business intelligence is leveraged properly to deliver insights to healthcare […]

SPSS CLEM is the control Language for Expression Manipulation, which is used to build expressions within SPSS Modeler streams. CLEM is actually used in a number of SPSS “nodes” (among these are the Select and Derive nodes) and you can check the product documentation to see the extended list. CLEM expressions are constructed from: Values, […]

Another interesting feature of SPSS Modeler is its built-in ability to sample data. It is pretty typical to have (in one or more files) hundreds of thousands of records to process, and using complete sets of data during testing can take a huge amount of your time and is inefficient in terms of computer processing […]

Consider the scenario where you have to convert information held in a “categorical field” into a “collection of flag fields” – found in a transactional source. For example, suppose you have a file of transactions that includes (among other fields) a customer identifier (“who”) and a product identifier (“what”).  This file of transactional data indicates […]

Healthcare reform, ACA, Business Intelligence, Enterprise Portals, predictive analytics, pay for performance, the Triple Aim, total cost of care, patient safety….these, and many more, are the buzzwords in healthcare and medicine these days. Install this system, connect that system, run these reports, use this “intelligent program”… Do you ever wonder if we can solve all […]