How often have you found yourself needing to make a key business decision, but don’t have the insight to back it up? You have the data, but it’s sitting in a spreadsheet in a format that doesn’t highlight key trends or statistical insight. You simply don’t have the time, or the long-term business need, to work through a structured analytical process to load and analyze it through formal Enterprise systems.
What you need is a fast and easy way to investigate key trends, identify insight of statistical relevance, predict likely future events, and package it up with compelling visualizations that help you communicate insight to others in the team. And you need to be able to do it on your own without the need of a statistical genius or farm of servers.
What you need is Watson – and he’s bringing the power of analytics to the people!
The techworld is abuzz with the announcement of IBM and Apple’s exclusive partnership to bring mobile applications to the Enterprise. The excitement is fueled by the prospect of super sexy mobile devices, powered by Enterprise-ready computing for mobile and analytics.
While there is much talk about what this collaboration will mean to the likes of Microsoft and Google, the question I am most interested in, is what impact will this have on my clients’ ability to leverage the power of analytics for improved business performance?
With many clients achieving phenomenal business results from Big Data & Analytics — 150% growth in revenue, 95% accuracy in sales forecasts, 98.5% on-time delivery to name just a few — companies around the world are trying to replicate the same super productive analytical state in order to achieve their own business goals.
To be successful, you need to understand- and get in- the analytical zone.
If, like me, you were raised to always finish the food on your plate because there were less fortunate children starving around the world, you would be horrified to know that in developed nations, 40% of all food produced is thrown away before it even makes it to your plate!
Add to that the knowledge that more than 70% of fresh-water usage is consumed trying to get food from farms on to your fork. With a typical carrot in Iowa traveling 16,000 miles from farm-to-fork, do you really want to be eating that carbon footprint?
Fortunately, there are smarter ways to feed our families thanks to analytical insight.
Seven months ago, I left my Business Analytics team to take on the role of Strategic Initiatives Leader for technical professionals and services across IBM’s growth markets. What I didn’t realize at the time, is that you can take the girl out of analytics, but you can’t take analytics out of the girl!
In this climate of rapidly advancing technology, in our business it’s essential that we equip our teams with the modern resources they need to be successful. Recently our leadership group were discussing this very topic, with the specific desire to understand what technology was needed where and by whom. After theorizing about which regions and teams might have various needs, my natural instinct kicked in – what does the data tell us?
Many industries today are changing at such a rapid pace, experts are struggling to keep up. Advertising is one such industry. Television is no longer the premier medium to get your message to market. Companies need to engage and address the needs and interests of the consumer or risk becoming irrelevant.
Today, marketing is less about the one-to-many, and more about the one-to-one – it’s not about talking to- but with- the consumer. Companies that thrive today have successfully moved to more pervasive, personalised marketing campaigns by tapping into the growth of smart phones and social media
And yet, as I sit in my state-of-the-art A380 headed for Dubai, one of the most innovative cities in the world, I am watching the same advertisement for Shangri-La Hotels that I’ve seen on every flight this year, before every movie I’ve watched, being shown to every passenger on every flight for this carrier.
What is the future of visual analytics? Many would suggest you’d need an army of data scientists and extensive investment in hardware and software to find out. Not so! With the re-vamp of IBM Many Eyes to deliver a broader selection of visualization techniques, IBM is once again giving the ability to derive insight from data, to the masses.
When it comes to finding nuggets of insight hidden in sheets of data, many eyes are always better than one!