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.
Many talk about the interesting trends in economies driven by consumerism – with the rise of consumer spending on domestic products and services, fueled by growing population and higher wage earners across many of world’s growth markets.
Couple this with the rise of Connected Consumers – those living a digital lifestyle who expect to be able to run their lives through a smart phone and will quickly (and publicly) comment on the value of your brand when you fail to support them in doing so. Suddenly we find ourselves in an age where the Connected Consumer is King.
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!
Over two years ago when IBM Cognos 10 was first launched, one shy little feature was introduced with very little fanfare that had the potential to change the way we make decisions in businesses today. Unfortunately, at the time of the launch, the market was not yet ready for collaborative decision-making.
The world of social business has come a long way since then, and now is the time to stop making rash decisions, collaborate with your network of peers and experts, listen to the collective advice and experience of the entire team/organization, and make more informed, collaborative business decisions.