'D' of Things

Originally published on the TEC Blog TEC recently published its 2014 Mobile BI Buyers Guide and a related blog post in which some results from a survey on mobile business intelligence (BI) usage, needs, and trends were discussed. We thought it would be useful to take another look at what was revealed from the survey regarding what’s important for mobile BI users, and of course, how satisfied they are with the mobile BI solutions they work with. Let’s take a look at some of our findings in this regard. Here we will discuss two additional criteria and how they affect mobile BI practices and decision-making: functionality and level of satisfaction. General Functionality: What Tops the List? One of the questions we asked mobile BI users in the survey had to do with the functionality they find the most important when using the services of their mobile BI application. From the list we provided, including ad hoc querying, alerting, collaboration, data analysis and discovery, and dash

As my father use to say, better late than never so, here is a list of things you might want to check including news, humor and more… Enjoy! In the news: Microsoft takes a stand on student privacy with best-in-class education solutions PivotLink Unveils Purchase Affinity Application to Improve Retail Marketing SAP Launches New Program to Support Student Entrepreneurs GoodData’s Open Analytics Platform DataRPM Secures $5.1 Million in Series A to Advance Cognitive BI Platform To read: IBM Study: Big Data Equates to Big Advantage in CFO Effectiveness Why “Big Data” Is a Big Deal Beware of the Alligators in the Data Lake How Facebook’s New Swedish Data Center Is Like Your Ikea Bed To watch: The Internet of Things: Dr. John Barrett at TEDxCIT Kinoma Create — The JavaScript-Powered Internet of Things Construction Kit Influencers on Twitter you certainly need to follow: Cindi Howson (@BIScorecard) Claudia Im

A rest in the snow ...  Source: Flickr   Another week, another month, and the year goes by... Before heading to you local… place of weekend rest, here’s a list of things I've crossed by this week that you might want to check out.  Have a tremendous weekend! In the news : Tableau and Splunk ally for machine data visualization Toronto Selected as Site for $100 Million Cisco Global Innovation Centre SAP Unveils Next Step for the Cloud powered by SAP HANA Danal and Billeo Announce Mobile Identity Partnership MicroStrategy PRIME: Worthy of an "R" Rating? Announcing Red Hat Enterprise Linux availability in AWS GovCloud (US) IBM Premieres New Master the Mainframe World Championship ODCA Releases Version 2.0 of Cloud Deployment Usage Models Guinness World Record - Largest Data Warehouse Satya Nadella announces changes to senior leadership team To read: Analytics for everybody! Timeliness is the most important Data Quality Dimension

In the first part of this series, I described a bit of what machine learning is and its potential to become a mainstream technology in the industry of enterprise software, and serve as the basis for many other advances in the incorporation of other technologies related to artificial intelligence and cognitive computing. I also mentioned briefly how machine language is becoming increasingly important for many companies in the business intelligence and analytics industry. In this post I will discuss further the importance that machine learning already has and can have in the analytics ecosystem, especially from a Big Data perspective. Machine learning in the context of BI and Big Data analytics Just as in the lab, and other areas, one of the reasons why machine learning became extremely important and useful in enterprise software is its potential to deal not just with huge amounts of data and extract knowledge from it—which can somehow be addressed with disciplines such as data