by Rahul Agarwal
The need for operational analytics
Today, businesses across the world face challenges dealing with the increasing cost and complexity of IT, as they cope with the growing volume, velocity and diversity of information. However, organizations realize that they must capitalize on this information through the smart use of analytics to meet emerging challenges and uncover new business opportunities.
… analytics needs to change from a predominantly back-office activity for a handful of experts to something that can provide pervasive, predictive, near-real-time information for front-line decision makers.
One thing that is increasingly becoming clear is that analytics is most valuable when it empowers individuals throughout the organization. Therefore, analytics needs to change from a pre-dominantly back-office activity for a handful of experts to something that can provide pervasive, predictive, near-real-time information for front-line decision makers.
Low latency analytics on transactional data, or operational analytics, provide actionable insight at point of engagement, giving organizations the opportunity to deliver impactful and engaging services faster than their competition. So what should one look for in an operational analytics system?
A high percentage of queries to ‘operational analytics’ systems—often up to 80% — are interactive lookups that are focused on data about a specific customer, account or patient. To deliver the correct information as rapidly as possible, systems must be optimized for the right balance of analytics performance and operational query throughput.
… systems must be optimized for the right balance of analytics performance and operational query throughput.
In order to maximize the benefits of operational analytics, one needs a solution that will quickly deliver value, better performance, scale and efficiency – while reducing the need for IT experts who design, integrate and maintain IT systems. In addition, one should look for a system, which comes with deep levels of optimization to achieve the desired scale, performance, and service quality, since assembling the right skills to optimize these systems is a costly and often difficult endeavour.
The ideal system should provide analytic capabilities to deliver rapid and compelling return on investment now; and this system must grow to meet new demands so that it remains as relevant and powerful in the future as it is today. In addition, the system should have the flexibility to meet these demands without disrupting the free-flow of decision support intelligence to the individuals and applications driving the business.
IBM PureData System for Operational Analytics
The IBM PureData System for Operational Analytics helps organizations meet these complex requirements with an expert integrated data system that is designed and optimized specifically for the demands of an operational analytics workload.
Built on IBM POWER Systems servers with IBM System Storage and powered by IBM DB2 software, the system is a complete solution for operational analytics that provides both the simplicity of an appliance and the flexibility of a custom solution. The system has recently been refreshed with latest technology that will help customers to make faster, fact-based decisions ¬and now offers:
- Accelerated performance with the help of new, more powerful servers that leverage POWER8 technology and improved tiered storage which uses spinning disks for ‘cool’ data and IBM FlashSystemTM storage for the ‘hot’ or frequently accessed data.
- Enhanced scalability that allows the system to grow to peta-scale capacity. In addition, nodes of the refreshed system can be added to previous generation of PureData System for Operational Analytics thus providing better protection for your technology investment.
- A reduced data center footprint as a result of increased hardware density.
So explore the benefits and use cases of PureData System for Operational Analytics by visiting our website, ibm.com/software/data/puredata/operationalanalytics as well as connecting with IBM experts.
About Rahul Agarwal
Rahul Agarwal is a member of the worldwide product marketing team at IBM that focuses on data warehouse and database technology. Rahul has held a variety of business management, product marketing, and other roles in other companies including HCL Technologies and HP before joining IBM. Rahul studied at the Indian Institute of Management, Kozhikode and holds a bachelor of engineering (electronics) degree from the University of Pune, India. Rahul’s Twitter handle : @rahulag80