Next Generation BI: Predictive Analytics, Real-Time Monitoring and In-Memory Processing

By Niranjan Bhalivade, CIO, CEAT Ltd

Data Analytics along with Cloud offerings are some of the key challenges in technology today. Data seems to move from one platform to another, with Enterprise data differing from structured to unstructured to the mere conventional ones. Additionally, companies tend to go for private cloud as managing public cloud has become a hectic task. Also, agile technology has become imperative for business centric environment. Migrating to in-memory technology, help companies meet current business needs and provide a strong backbone for the long term business IT strategy. In-memory helps in analyzing big data at lightning speed, optimized for both transactional and analytical processing.

SAP HANA in-memory-computing helps to dramatically accelerate analytics, business processes, sentimental data processing and predictive capabilities. In-memory technology facilitates ERP performance at lightning speed even for the most complex queries or processes. Companies using this technology have been empowered to quickly get complex business MIS and take decisive actions. IT has enabled business to release the product schemes campaigns much faster and react to market in the fastest way possible. There are multiple real-time analytics and plus calculation views are created reflecting faster closure of business processes like Discount calculations, credit note generation monthly closures and so on. This system has enabled to put real time controls and checks on the transactions hence making the system proactive and controlled.

Need of the hour: Interactive dashboards

Moving on, with the complete delivery model of IT strategy based on Social, Mobile, Analytics and Cloud, companies move most of the non critical as well as business critical applications on cloud, after proper evaluation of security and SLA standards. In order to gain a foothold in the technology, companies moving onto the cloud platform ensure real value and cost savings.

Also, as mobiles and tablets become popular, the need to have an interactive dashboard makes Mobility, an integral part in the organizational ecosystems. Already 94% of fortune 500 companies are deploying or testing iPads / Tabs for staff in order to ride the Next wave of digital enterprise. The implementation of mobile based systems, allow strong sales force plan routes, mark out towns, and include dashboards to access information to help close sales, at the same time provide an added advantage for territory leaders. Mobile based systems aid territory leaders monitor sales, staffs, diverse sales schemes, improve collections and manage leads against others to name a few.

BI data models Serving Business Analytics in Every Segment

Moving forward, business processes being static, organizations look for ways to make it more effective, fast and available without constraints. The new generation management, demands the Analytics on making only data driven decisions, for driving better decision making, generating new business insights and even for business model transformation. It is very critical that the Business intelligence or analytics is no longer remaining only for the management or the MIS officers but present on the field available on the Touch screens. Business Intelligence is a journey, starting with basic transactional reporting, furthered by growing towards predictive analytical models.

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