Time to build my own app!!!
The unexamined life, they say, is not worth living. And soon the unexamined life may be impossible in the era of Google Glass and sensor-embedded wearable devices. As I’ve blogged here before, we are being cast headlong into an ‘age of context’ – the blogger Robert Scoble’s phrase – where sensor technology will be able to generate data on every physical object, animate or inanimate, in the ‘Internet of Things’.
For Chris Dancy, an executive at BMC Software with a Scoble-like passion for tech, the chance to plug himself into this network is an unrivalled opportunity. He has covered himself in all manner of gadgets to monitor his movement, heart rate, perspiration, sleep rhythms and so on – not to mention every micro-event in his Google calendar – in the belief it can guide him to greater efficiency. By measuring everything, he wants to identify when he is sharpest…
View original post 523 more words
As promised, here is the second half of Jamie Menashi’s viewpoints on why BI/analytics projects either do not meet expectations, or fail outright. The first blog on this subject, along with bio information about Jamie, is here. In this era of big data, as organizations of all stripes try to either (a) stretch their existing BI/analytics solution, or (b) jump to a more modern version, they inevitably run into difficulties as they scale big data’s walls. As you will learn from Jamie, the reasons for failure or dissatisfaction usually have more to do with culture, process, and decision-maker oversights, more so than the underlying technology.
My IT department will do it and learn as they go. High value BI/analytics projects are part technology, part business and part art. We want to use information to guide behavior and decisions and we need the right team to make…
View original post 508 more words
BI/analytics projects are often sold internally on loose ideas like “my analysts and managers need better information to make better business decisions” – good read..
My friend Jamie Menashi, a professional services consulting, project and account manager in the BI/analytics space for a decade or so, made me a cup of strong french press coffee the other day, and then launched into an insightful diatribe about failed BI/analytics projects. Rumors of all kinds of less than successful big data projects have surfaced, but this isn’t news to Jamie; Jamie has been on point for BI/analytics professional services for countless projects, with a focus on financial services, and he has seen the good and the bad countless times. Jamie offered up 3 primary reasons why such projects fail, and here is the first reason, the rest will be unveiled in a subsequent post.
Does anyone really know why we did this project? In this scenario the value of a BI/analytics project is not well defined up front with the stakeholders. High-value BI/analytics projects drive behavior that…
View original post 535 more words
At a time when information is proliferating at an unprecedented rate, companies that effectively gather, create and use information can gain dramatic market advantages over those that don’t. SMB Group’s 2012 Routes to Market Study shows that SMBs that have deployed business intelligence and analytics solutions are 51% more likely than peers to expect revenues to rise. Likewise, in a survey from the MIT Sloan Management Review and SAS Institute, 67% of respondents report that their companies get a competitive advantage through analytics.
Most small and medium business (SMB) decision-makers understand this at a conceptual level. But let’s face it—few have in-house business analysts and data experts. Consequently, it can be daunting just to think about moving beyond spreadsheets to a more innovative analytics-driven approach.
A Tale of Three SMBs
But it doesn’t have to be. In this three-part series, I explore the journeys that three SAS customers
View original post 1,222 more words
So it’s been a while since I’ve lasted posted as I’ve been away on holiday. During that time, a few friends have sent me some challenges and asked some questions, so my first few posts coming back will deal with them! Firstly, the Excel questions! The first question was from a friend, who hates Excel, literally. If she can use any other software out there, she will. Her question was:
“Is there was a way to do calculations in Excel without actually using formulae?”
I think she expected me to say no, but in actual fact there is a way, so I thought I would post it for everyone to view!
1. Using Excel’s Paste Function to calculate values for you…
Imagine if you will, you want to adjust an existing spreadsheet to calculate what an increase in price would look like on your product range, if you increased all…
View original post 520 more words
For those of you who are really mathematical, and for those of you like myself who like to see really creative graphs and charts, you might get a kick out of this post by Frankens team:
There are some really great examples on here that I think you will like! I did anyway. For each example, you can download the Excel sheet and take a look on how it is done!
Hope you find them as inspirational as I did! Their final point?
Please do not regard these charts as a best practice or recommendation. These are just ideas – as in haute couture. You can use if it gives a little “salt” to your work, but always respect the data and your target audience – never forget the basic rules: data derives chart choice.
As it was…
View original post 19 more words