Analytical Resolutions for Technologists and Tech Teams in 2017

SaaS Business Intellingece Top Ten Checklist

Ahhh, the annual resolutions list! A time-honored tradition when we all look at the new year as an opportunity for a fresh start. res·o·lu·tion ˌrezəˈlo͞oSH(ə)n/ noun 1. a firm decision to do or not to do something. synonyms: intention, resolve, decision, intent, aim, plan, commitment, pledge, promise Sometimes these are crafted during the last couple [...]



PODCAST: Discussing Big Data, Integration and Security


  In mid-November, I had the opportunity to chat with Informatica's Murthy Mathiprakasam - Product Marketing Manager - about the practices of big data, data management and integration. Listen to segment #1 (approx 10mins) To start our conversation, we discussed differences in implementing big data projects around Manual implementation vs. automation in big data applications [...]



By | November 23rd, 2015|Big Data, Data Integration, Data Management, Uncategorized|0 Comments

Big Data and the Data-Driven Enterprise


  Since its introduction, the idea of “big data” has been widely associated with a single data management platform—Hadoop. Hadoop’s popularity as a platform to store and process large amounts of multistructured data probably has a lot to do with this association. However, Hadoop is not the full answer to the question of “what is [...]



By | August 3rd, 2015|Big Data, Business Analytics|0 Comments

Dos and Don’ts for the Data Scientist


Review of Statistics Done Wrong by Alex Reinhart Since the advent of the big data era, organizations have been crying out for data scientists. Initially it was finding the true data scientist. But as these resources were considered scarce, it was a search for people who could hand-code analytical models in a Hadoop environment.  As [...]



By | May 14th, 2015|Advanced Analytics, Big Data|0 Comments

Why Data Analytics as a Service?


Waaay back in the day (say 2002), organizations would ask themselves: “If our customer and prospect (potential customer) information is our most valuable asset, why would we EVER trust it with a 3rd party who would put it with the customer information from other companies?” Today, organizations do not hesitate to start their sales endeavors [...]



100 Lines about 25 Business Intelligence Topics for 2013


I have always loved the song “88 Lines about 44 Women” by the Nails.  And based on some recent success with a blogging topic relating to the songs of the 80s, I thought that I would continue that theme with “100 Lines about 25 Business Intelligence Topics”. Think of this list, or series of lists, [...]



What Big Data Is Not


Next week, EMA and 9sight will hold a webinar covering our Big Data research findings.  Among our insights will be that Big Data has evolved. Moving forward, Big Data isn’t: merely a technology definition solely Hadoop implementations just petabyte and above only used by Data Scientists Big Data is maturing to the point where business [...]



By | December 4th, 2012|Big Data, Business Intelligence|0 Comments

Is there a NoSQL Identity Crisis


As Big Data initiatives mature into enterprise data sources supported by NoSQL products for analytics and operational systems, a clash of cultures is on the horizon (if not here already). Traditional IT implementations teams and their top-down programs rarely see eye to eye with the grass roots culture of NoSQL platform operators. But this divide [...]



By | February 28th, 2012|Big Data, Business Intelligence|0 Comments

Corporate Data Return on Investment


Informatica Goal: Maximize Return on Data The theme of last week’s Informatica Analyst Conference was utilizing the “secular megatrends” of information technology to energize data integration across organizations at an enterprise scale.  These megatrends, described as trends we can all agree upon, are the following: Cloud Computing Social Media Mobile Big Data Informatica’s message is [...]



NoSQL Implementation Drivers


If you look at the history of Big Data requirements (volume, velocity and variety), and the NoSQL platforms supporting those requirements, you see a history of organizations and development teams breaking the mold of traditional information technology (IT) programs. Instead of following the traditional IT methodologies to solve the Big Data issues, these teams pushed [...]



By | February 9th, 2012|Big Data, Business Intelligence|0 Comments
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