Posts Tagged ‘SPSS’

Overview The purpose of this post is to provide a strategy for approaching and resolving a “concern” that has been identified within a application. Overall, the idea is to “add structure” to the process of responding to defects (remediation) in your application. Steps to Remediation Using a resolution methodology referred to as CERT, the steps […]

The goal of a Practice Center of Excellence (CoE) Solution Assessment is to conduct an impartial review of a particular component (or components) of an identified solution or architecture or to address a particular application design pattern strategy concern. The assessment team will identify the purpose and scope of the assessment prior to beginning the […]

Recently, I attended the IBM Vision conference in Orlando. At the conference, I watched a presentation on what our friends at IBM are calling one of their “signature solutions”: CFO Performance Insight. This reminded me of various blog posts of mine, such as: Reengineering the Forecasting Process with Predictive Models (Nov 2nd 2012) and Forecasting […]

CRISP stands for Cross Industry Standard Process. It is a process model that describes commonly used approaches that experts use to tackle problems. Typically, you’ll hear of CRISP in the context of CRISP-DM, defining a process or methodology that breaks the process of data mining into six major phases. A little more about the CRISP […]

I just returned from the IBM Vision Conference in Orlando, Florida. I attended a session in every available timeslot from Monday morning to Wednesday afternoon and it was worth every single minute of my time! Although there were too many sessions and presenters to mention, here are my “top picks”: Designing Solutions with IBM Cognos […]

In my last post I introduced the concept of performance and performance testing. Without establishing baselines, performance testing is a waste of time. So what is a baseline and why is it important to performance testing? Baselines Measuring performance requires an initial state (how is the application performing at this time with these parameters?) and […]

No matter what the tool or technology used, data analysis always involves 4 simple steps: Pull together data, Pick the appropriate analysis process or procedure to be performed on that data, Point out (designate) the variables in the data that you are interested in and finally, after performing the selected process, you can Peruse the […]

IBM Cognos TM1 employs a distributed, client-server architecture that consists of the IBM Cognos TM1 server to which a combination of different clients can connect. The TM1 Server manages access to the Cognos TM1 data directory for Cognos TM1 clients. The data directory is where files are migrated from and to and this “migration of […]

At the IBM Connect conference, we heard about some of IBM’s approach to Social Analytics.  In a nutshell, you can break the strategy into two main areas: External Customer Analytics  Employee Analytics In both areas, the overall approach involves social listening, data collection, segmentation and deep analytics.  What we heard from IBM was a focus […]

Every Center of Excellence team must develop the ability to measure and report on the performance of all areas and efforts of the CoE as well as related specific efforts of the organization or practice it supports. Measuring performance allows the CoE to set expectations for current and new work- providing answers to certain key […]

Reengineering the Forecasting Process with Predictive Models Forecasts usually start as historical performance which is then reviewed and adjusted based upon anticipated events. More mature forecasting may also incorporate generally accepted business rules “programmed in” to help “drive” the data into a forecast. Over the years I’ve deployed uncountable applications which provide the ability to […]

    Cognos TM1 Implemented forecasting and reporting systems have had many benefits to businesses. These benefits might include (by are not limited to): Improved consistency – a single source for forecasting and reporting.  Decreased overall “processing time” for reporting forecast and actual information.  Decreased manual intervention – fewer “touch points”.  Provide the ability to […]