The Missing Piece to Solve the Big Data Puzzle

A Lesson in Disconnection

A teacher draws shapes on the board and tells the class to guess what is going to be created from these different parts. No one gets it right, as there is no real way to understand what these separated parts represent, unless you are given the full picture. No one can be given disparate parts and then try to make sense of them all, without context. Data analytics is no different. In order to make actionable and reliable predictions, a company needs to integrate all their separate systems to see the full picture.

It is very clear what the image is supposed to be at this point. However, without integrating systems and putting the pieces in context, any analytic solution is wasted time. Like staring at the first chalkboard, trying to make sense of large volumes of disconnected data will get you nowhere. Integration provides the complete picture so companies can make predictions of what a customer will do before they do it, know the inventory of a given product at any given time, or make decisions based on accurate data in the moment.

Put the Puzzle Pieces Together

Data analytics, the cloud, and application integration might seem like separate pieces to a very complex puzzle. While each piece only provides part of the image, put together, they provide a full picture into business processes.

Integration is at the heart of predictive analytics and cloud computing. Integrating systems allows companies to uncover data trapped in disparate systems, and have contextual data available for analysis at any time, from anywhere. Companies now need to be able to predict what a customer is going to do, whether for customer retention, upselling and cross-selling, or building customer loyalty.

Scale or Fail

Data analytics serves little purpose if it cannot be shared or distributed to the people who need it, when they need it. When analytics systems and cloud systems are integrated properly, a company can capitalize on improved elasticity and scalability by collaboratively analyzing data right from a cloud-based data center. Integration should be seamless, allowing a company to plug in to any server or virtual server environment, firewall, storage, network-management, load-balancing or other system.

Cloud computing, in combination with data analytics provides both performance and cost benefits: self-service capabilities, process automation, and demand aggregation. The connecting piece that allows a company to make sense of it all and put the entire picture together is integration.

Read more on integration strategies with this white paper.