Big data processing is rapidly moving from traditional batch processing to near real-time analytics, and this transition is creating an enormous potential in terms of simplifying the data intensive complex business processes. However, for the analytics to be adequate and meticulously producing actionable insights, enterprises need to understand the potential capabilities of the modern Big Data Processing platforms. DataMetica Solutions, headquartered in Pune, helps them leverage these platforms and increase the value proposition for the data by finding new ways to utilize it.

“At DataMetica, we get ourselves well-acquainted with the business process which enables us to utilize the incremental technical expertise in addressing the critical issues by participating and collaborating closely with the domain experts,” says Rajiv Gupta, Co-founder & Director, DataMetica. The company has put its words into action on every occasion and one of them worth mentioning is how an American retail giant benefited from DataMetica’s Big Data and Analytics solution. The retail firm needed a fast and innovative way to calculate the cart abandonment and browse abandonment cases. DataMetica came up with a quick acting solution that helped the retail giant win customers back using advanced analytics to identify them and approach them with personalized timely emails.

DataMetica firmly believes that understanding the client’s pain points is the key to successful realization of the Big Data solutions. The company engages with the business functions deeply to visualize the domain issues from client’s perspective instead of considering them as technical challenges. Then the team quickly gets itself in a position to start suggesting best practices, possible data analysis and Key Performance Indicators which can immediately improve business results. Once the core domain understanding is clear, DataMetica leverages the services of its ‘Big Data Center of Excellence’ to suggest best architecture patterns for the implementation based on business and system requirements. The company follows an iterative agile model during implementation phase wherein all the relevant stakeholders are engaged at appropriate development phases. The feedback is considered for possible change in course which benefits business goals.

Emphasizing on reusability, the Big Data Center of Excellence at DataMetica leverages numerous reusable components in the repository in order to avoid re-work and to reduce time-to-market. The CoE ensures that the cost of implementing a similar project decreases with every new implementation. The feats of DataMetica’s CoE can be attributed to the company’s employee engagement model which is focused on building competency and freedom. The organization encourages its employees to explore new technologies, innovate and feel free to express their capabilities. In addition, with every project and customer interaction, the in-house work unit intends to enrich the knowledge repository which consists of technical as well as business artifacts. With its focus on business domain understanding, DataMetica is determined to keep exploring new technologies and domains while enriching its knowledge base to evolve as a ‘Data Driven’ company.