Data + Intelligence

Data Virtualization offers a unique opportunity for IT and Business to leverage this technology to cut down the development time for adding new sources of data. The providers of this technology is the top software vendors like IBM, Microsoft etc. (see Forrester wave) … with the new entrant Cisco (bought Composite recently). This is not […]

Cloud BI comes in different forms and shapes, ranging from just visualization to full-blown EDW combined with visualization and Predictive Analytics. The truth of the matter is every niche product vendor offers some unique feature which other product suite does not offer. In most case you almost always need more than one suite of BI […]

How do you create a recoverable backup for a TM1 server instance (TM1 service)? What is best practice? Here is some advice. Note: as with any guideline or recommendation, there will be circumstances that support deviating from accepted best practice. In these instances, it is recommended that all key stakeholders involved agree that: The reason for deviation […]

Let’s face it. Companies capture Customer Information  in multiple stages through multiple systems even in a Small / Medium Business (SMB segment). Not all the latest Customer information is readily available for all the applications.  Applications need Customer Master Data to link the transactions and every Application has different data model for capturing the Customer […]

In ACA and QRS – Shoot for the Stars Part 1, I laid out the overall domains that are going to be used to score QHP plans offered through the Marketplace. In this blog, we will take a closer look at the data derived measures and what factors a QHP issuer should consider to achieve […]

In the world of ecommerce, especially in the last few years, I’ve grown to appreciate the importance of data. Every project, every implementation, and every site we have launched has proven time and again that it is most important to maintain the quality of data and to structure it well, so that it can be […]

Today’s Cloud solutions range from platform services to full-blown ERP holding the key to Enterprise Information. It is very easy to get carried away and forget the efforts of creating the Enterprise Data and existing Analytical capabilities. Getting rid of the cost of managing the HW/SW and other Operational expenses is only part of the […]

From our previous blog post we have seen how easy it is to setup a seamless integration between the XI 52 and XC 10. In this blog post, we dive into a little more detail of the seamless integration by understanding how datapower encodes and decodes the cache key. Datapower XI 52 uses the URL […]

The new trend in the Analytics world, Cloud Analytics is slowly becoming a norm. Except for the Cloud tag, companies have used Cloud or External Analytics for a long time. Historically Campaign Management has been part outsourced, part managed by Marketing, using external data besides ‘Enterprise Data’. Traditional Data Vendors / Credit Score providers like […]

Overtime, I’ve written about keeping your TM1 model design “architecturally pure”. What this means is that you should strive to keep a models “areas of functionality” distinct within your design. Common Components I believe that all TM1 applications, for example, are made of only 4 distinct “areas of functionality”. They are absorption (of key information […]

In a recent issue of PC Today (www.pctoday.com), there was a quote by Cindi Howson of BI Scorecard that really stuck in my mind: “There are far too many cases of companies having good data, good tools, but a culture that’s a barrier to using that data for action.” Frequently, outside consultants are brought into […]

Vision Most organizations today have had successes implementing technology and they are happy to tell you about it. From a tactical perspective, they understand how to install, configure and use whatever software you are interested in. They are “practitioners”. But, how may can bring a “strategic vision” to a project or to your organization in […]