Posts Tagged ‘data management’

TREND #3: LEVERAGE CROSS-CONTINUUM DATA ANALYSIS FOR IMPROVED PATIENT CARE AND OUTCOMES Despite all the changes within the industry, the healthcare continuum remains relatively the same. However, our perspective across that continuum has changed considerably due in large part to the enhanced view enabled by healthcare analytics. Historically, healthcare analytics has been used to manage […]

IBM plans to pour more of its technical wisdom into the world’s second largest and second most-populous continent. The multinational tech company has announced it will spend $60 million over three years on expanding its technical training efforts in Africa. Central to this expansion will be a special partnership between IBM and an online education […]

Many companies have invested millions in building a successful BI / EDW and are investing in advanced analytics for the future. But the mystery remains about the data quality. Though glaring DQ issues might be contained through constant backend data corrections or through exception handling, many organizations still faces the challenge of poor data quality. The reason Data […]

Years of work went into building the elusive single version of truth. Despite all the attempts from IT and business, Excel reporting and Access databases were impossible to eliminate. Excel is the number one BI tool in the industry and for the following good reasons : accessibility to the tool, speed and familiarity. Almost all […]

Myths & Realities of Self-Service BI The popularity of Data Visualization tools and the Cloud BI offerings are new forces to reckon with. I find it interesting to see how the perception Vs usage of these tools in reality. Traditionally IT likes the control and centralized management for obvious reasons of accountability and quality of […]

While attending a recent Wall Street Technology Association (WSTA) seminar in New York, I participated in a discussion with other members (financial institutions) and service providers around the topic of data security. I think it’s safe to assume that everyone acknowledged the cost of handling a data breach far outweighs the cost of proactively securing data […]

One of the less addressed areas of Enterprise Information Management (EIM) is the Information Life cycle Management (ILM). If you think about it Life cycle management touches key business areas especially regulated industries like financial services. IT is concerned with managing storage, application performance issues due to large volumes of accumulated historical data and the […]

After passing into the new millennium, myself and many of my peers saw an increase in the use of innovative marketing terminology relative to technology.  Just around the turn of the century, the term “Big Data” surfaced in conjunction with analytics. Soon thereafter, it was being applied to large volumes of data exceeding 1 terabyte in […]

I recently read an article in the NY Times talking about an “unexplainable” sharp and persistent slowdown in the growth of healthcare costs. It has been followed by others, such as this one from USA Today, that have begun attempting to shed light on the reasons why. Contrary to the partisanship rhetoric from our lawmakers, […]

Getting Started…Again Back to Statistics; I restart IBM SPSS and from the startup/open dialog, locate my previously defined data file from the “Open an existing data source” list and click OK. My file opens in the data editor (just as I left it) and the Statistics Viewer shows the very first transaction “GET” (and then […]

When embarking on enterprise data initiatives, such as Meaningful Use, BI or supporting the conversion to ICD-10, success is very often correlated to the degree of business involvement. For enterprise data initiatives, there are three types of business (here meaning non-IT) involvement required: Stakeholder involvement (these, of course, are the people for whom we are […]