21 Wed Jan 2015
Posted in Big Data, Consider this, Data Warehouse, Data Warehousing
Tags
Big Data, business intelligence, Core Statistics, DW 3.0, enterprise data warehousing, information management, information supply framework, statistics
Big Data, together with Cloud computing and the Internet of Things, are topics that are very much to the fore in contemporary trends in Information Management. Continue reading
19 Mon Jan 2015
Posted in Analytics, Big Data, Consider this, statistics
Hold this thought: If Data Warehousing was Tesco then Big Data would be the “try something different”.
Since the publication of the article Aligning Big Data, which basically laid out a draft view of DW 3.0 Information Supply Framework and placed Big Data within a larger framework, I have been asked on a number of occasions recently to go into a little more detail with regards to the Analytics Data Store (ADS) component. This is an initial response to those requests. Continue reading
17 Sat Jan 2015
13 Tue Jan 2015
Posted in Big Data, Consider this
Tags
Remastered for 2026
I aim to bring some semblance of simplicity to the Big Data debate. I also strive for coherence and integrity. Hence, I am sharing an evolving model for pervasive information architecture and management.
This is an overview of the realignment and placement of Big Data within a more generalised architectural framework, one that integrates data warehousing (DW 2.0), business intelligence, and statistical analysis.
The model is now referred to as the DW 3.0 Information Supply Framework, or DW 3.0 for short.
12 Mon Jan 2015
Posted in Condiser this
Tags
A couple of day’s back I was looking through some really interesting LinkedIn articles published via Pulse, and my mind started to wonder.
On each article page, an advert for a professional Who’s Who service appeared, the same advert, again and again, just begging to be clicked.
10 Sat Jan 2015
Posted in Big Data
Martyn Richard Jones
Remastered for 2026
I came across a blog post titled “The Best Big Data Quotes Of All Time”.
At first, I ignored it. I really like the author, but I’m generally not a fan of this type of ‘content’; of top 10 lists or cute collections or amazing pussy cat videos on YouTube, although I respect other people’s tastes.
09 Fri Jan 2015
Posted in Big Data, Big Data 7s, Consider this, Data Warehouse
This is the first in a series of collections of talking points on the processing of extensive data sets by non-relational or pseudo-relational means, speculative data analytics with these large data sets which is typically non-operational data and social media data obtained from internet sources, and how usable outcomes, if any, are derived, can be integrated into strategic, tactical and operational decision support. Continue reading
09 Fri Jan 2015
Posted in Consider this, Leadership 7s
This is the second in a series of management talking points. As I mentioned in the first of the series (available on LinkedIn and on my own Good Strat Blog) the name Leadership 7s was chosen based on certain influences in my formative years; rugby union and the heroes of the legendary Welsh rugby team of the ‘golden age’ (1969-1979).
Here are the second seven talking points in this series, which address aspects of leadership, coaching, and management. Continue reading
03 Sat Jan 2015
Posted in Leadership 7s
Martyn Richard Jones
This is the first in a series of management talking points. The name Leadership 7s has been influenced by rugby, which is quite possibly the emblematic game of my youth and of the home country of my Mom and Dad, Wales. In fact, much of what I learned about leadership in my formative years came from influences such as rugby union.
Here are the first seven talking points that deal with aspects of leadership, coaching and management.
01 Thu Jan 2015
Posted in Big Data
Tags
This is the first in a series of short commentaries on the burgeoning, babbling and bludgeoning world of Big Data applications, real or fictitious, tangible or unsubstantiated, original or plagiarised.
The idea is to pick up on viral truths, half-truths and downright fibs, and then take a look under the bonnet. Frequently by simply questioning assertions, assumptions and motivations, and leaving it up to the reader to take it further, if they so wish.
So, here is the first piece entitled Big Data, Mom and Apple Pie. Continue reading
GOOD STRATEGY 