The in-memory revolution has begun. But what is it? The theory behind in-memory computing is to take a wealth of information that is potentially scattered around the systems of your organisation and consolidate it all “in-memory”. This speeds up the processing speed and access to information potentially up to 35 000 times.
With the amount of data that organisations are having to collect, store, and process increasing by terabytes on an almost daily basis, the problem of fragmented data with extremely long processing cycles is one that cannot be ignored. Couple to this the challenge of the myriad of locations and data types that organisations are having to contend with (internal, external, personal, structured, and unstructured). And do not forget the traditional way in which data has been stored and processed for regulatory or analytical purposes ultimately results in organisations unable to meet the increasing demands that data places on them.
Cue the in-memory revolution.
With in-memory, companies now have the ability to crunch massive amounts of data in real-time. As in-memory technologies move from analytical to transactional systems, the potential to fundamentally reshape business processes grows exponentially.
Technical upgrades of analytics and enterprise resource planning engines may offer some initial total cost of ownership improvements, but the even larger potential lies in the ability to use in-memory technologies to solve complex and data-intensive business problems. It enables CIOs to help the business identify new opportunities and provide the platform for the resulting process transformation.
With in-memory computing it does not matter whether you are using a cloud computing model or a physical on-premise solution – data remains at the core. What is important for CIOs who are looking at exploring this trend is in understanding where the biggest gains from using in-memory can be seen.
There is no solid business case for taking all of your data at once to an in-memory computing solution. The trick is to be initially selective to understand how and where in-memory can assist your current business decision-making and add value back into the business. What’s more, there may be some technical or infrastructure confines which do not allow for the data to be migrated or integrated with an in-memory solution.
However, the bottom line is that in today’s knowledge economy the more information your organisation can crunch about your customer to provide usable insight, the better. In-memory computing, combined with savvy data analysis, provides that competitive advantage and it is important to start understanding how and where these incremental gains can be made for your organisation.