By Alistair Rennie
Imagine being able to make a well-informed decision based on real time insight, available anywhere and anytime. Now imagine this for all the decision makers in your organization. We’re getting there.
Today IBM took one step closer toward realizing its vision of “analytics everywhere” with new capabilities and solutions that will transform how business users perform their roles, collaborate, and make decisions. How? By making sophisticated analytics more accessible, easier to use, and available to employees at any location and at any moment.
It’s estimated that 2.5 quintillion bytes of data are created every day from sources such as transactions, email, posts to social media sites, digital pictures and videos. At the same time data is exploding, mobile devices have become much more pervasive. According to the latest reports, more than 10 billion mobile devices are expected to be in the hands of consumers by 2020.
These developments, combined with the emergence of technologies such as predictive analytics and cloud, create an exciting opportunity for IBM to help its customers give their front-line employees — who are inundated with information but often lack business insight – the collaborative tools to help them make better decisions.
This is especially good news for business users. For them, analytics can now build predictive models automatically and present those results as interactive visuals with simple, plain language explanations. This means line of business employees can have their data cleaned and merged and ready for analysis without burdening IT. It empowers them for their own analytic discovery without having to wait for the data scientist.
Staying on top of processes, having the relevant insight at hand, and soliciting feedback from others are time consuming tasks – and in a traditional environment, this may take days or even weeks to accomplish. Now, however, a sales VP on the road can use a mobile client or web UI to manage sales compensation related activities and collaborate with peers to get critical feedback. A finance executive can analyze revenue and spending trends, and make mid-quarter adjustments as needed, based on a deep understanding of likely outcomes.
Analytics can improve almost any business process — what products to make, what risks to take, which customers to target and how to make them stay. But today it’s not enough to have analytics available to only business analysts or data scientists. Analytics need to be accessible to a wider audience, to people making decisions, wherever they’re located