Posts Tagged ‘Business Intelligence’

If you have a TM1 background it is a quick step to using SPSS Modeler -if you look for similarities in how the tools handle certain tasks like, for example, importing data. With TM1, source data is transformed and loaded into cube structures for consolidation, modeling and reporting using its ETL tool TurboIntegrator. In SPSS […]

What better time to launch Perficient’s Retail Technology blog than during the biggest shopping season of the year! We look forward to sharing information on the latest trends in retail technology, strategy and shopper behaviors that are critical to success in the industry. Our diverse team of  technology professionals, strategists, writers and thought leaders possess […]

Facebook has been one of the software pioneers when it comes to Big Data.  They have an continuously increasing amount of data that constantly needs to be indexed and queried in a fast, efficient manner.  Facebook originally developed Hive which is a distributed data warehouse that allows for querying and managing of large data sets.  They released […]

We’re very excited to share that Perficient was the recipient of two prestigious awards at this year’s IBM Information on Demand conference! This week Perficient was announced as the winner of the Worldwide Performance Management Business Partner Excellence Award. This award recognizes a business partner that is best able to deliver scalable, world-class performance management, […]

I recently came across a book for bank and financial marketers written by Jay Kassing, one of the world’s most respected data analytics experts in the industry.  The Financial Brand actually featured his book on its site last week along with some excerpts from the book (reinterpreted for the web). One of those excerpts stood […]

The patient centered medical home (PCMH) emphasizes care coordination and communication between various healthcare delivery systems. This coordinated care system can lead to better quality healthcare delivery as well as a better patient experience – but in order to achieve these benefits, providers must be able to see and interpret data from across the many […]

Sentiment analysis is arguably one of the fastest growing concepts in the analytics space and is poised to become a major source of information to enterprise BI programs in the very near future. The idea of receiving instant feedback from a consumer base, enabling near real-time follow-up or correction holds an incalculable ROI. Unfortunately the […]

Numerous industries incorporate core concepts and methodologies of business intelligence to capture and review processed information, develop trending metrics, implement projective analyses, and transform raw data to strategic information to enhance organizational operations. The core opportunity within the healthcare industry that will benefit all aspects of the organization is establishing high standards of care for […]

A Brief Background In my previous posts I have walked through setting up Hadoop on Windows Azure using HDInsight.  Hadoop is an extremely powerful distributed computing platform with the ability to process terabytes of data.  Many of the situations when you hear the term “Big Data”, Hadoop is the enabler.  One of the complications with […]

Edit: Part 3 using Mahout here In my previous post I described the basics of HDInsight on Windows Azure and an example of what a Hadoop cluster can do for you. Without further delay, lets build a cluster!  If you don’t already have a Windows Azure account go here and sign up (it’s free!!) Setup […]

In an earlier blog post I wrote that Agile BI was much more than just applying agile SDLC processes to traditional BI systems.  That is, Agile BI systems need to support business agility.   To support business agility, BI systems should address three main attributes: Usable and Extensible –  In a recent TDWI webinar on business […]

Serviceability What is application serviceability?  “Serviceability (also known as supportability,) is one of the -ilities or aspects (from IBM’s RAS(U) (Reliability, Availability, Serviceability, and Usability)). It refers to the ability of application support personnel to install, configure, and monitor an application, identify exceptions or faults, debug or isolate faults to root cause analysis, and provide […]