Bangalore, India – November 8, 2017 – Cynepia a promising data platforms company today releases Advanced Data Fusion technology powered on Cynepia Insights Platform, It’s Flexible Data Analytics Platform built for enterprises and Xceed Analytics, a self-service business intelligence application built on top of Cynepia Insights Platform.

What use-cases does Cynepia Advanced Fusion Technology Address?

Enterprises are collecting data in a variety of ways from an ever growing list of datasources generated from various IT systems. This systems and databases store a wealth of information about enterprise data assets including customers, products or services, manufacturing & operations. Analyzing and Incorporating this data into it’s decision making dynamically and in time is important for enterprises to stay informed about it’s customer’s journey, changes to his/her behavioral pattern and further include the knowledge gained within the enterprise functions including marketing, customer service, manufacturing and others.

The scenarios and use-cases for data fusion are endless and therefore it’s one of the many critical technologies among various data technologies. Some of the use cases and scenarios are as follows:

  1. Understanding of ones sales in a given area viz-a-viz response to any external event such as a hurricane or a flood or a natural calamity.

  1. Segment ecommerce customer order data viz-a-viz returns to understand life-time-value of the customers and further categorize them.

  1. Marketing may want to understand how a certain set of marketing campaigns are impacting sales in a given geography.

  1. In health-care, hospitals may want to understand and analyse patient journey and co-relate it with data from patient feedback datasources.

Challenges with Existing Solutions

There are many solutions that help you achieve the same today. But there are two main categories of products at play within the gamut of technologies available.

  • Traditional ETL tools and pipelines such as Informatica, Talend, Alteryx and many others that essentially enable/augment a Data Engineer’s ability to create a new analytical dataset as may be required by the business. This approach essentially empowers data analysts or engineers to build a data pipeline by bringing together a set of the sources and blend them together and expose it as required by the use case.

  • Self-service data preparation platforms such as Paxata, Tamr and others further improve on the traditional capabilities of ETL by providing an easy to use self-service interface through which a business function can bring data together. While these are important and exciting improvements to bring ease-of-use and access to data fusion process, these tools fall short in achieving the following important goals towards further easing the data fusion process.

    • No of datasets and datasources are growing in leaps and bounds within any enterprise of a significance. It is difficult and sometimes impossible for a business user who has a clear idea about the business question for which he or she is seeking answers for, but a vague idea about what set of datasets could possibly go together to get the answer to his important question. To understand which datasets could be involved it needs you to be as good as a data engineer or an analyst to really use these tools.

    • More often than not, such a use case means bringing more than a few datasets together at ones.

How does Cynepia Advanced Data Fusion Technology make data fusion better?

Cynepia’s Advanced Data fusion technology is built precisely to address the above two limitations. It seamlessly integrates search and visual discovery feature to advance the data fusion technology to next level of ease of use.

The critical capabilities that Cynepia Advanced Fusion Technology integrates are as below:

  1. Ability to bring together 10s of datasets through a generic yet easy to use fusion workflow. This fusion workflow is built on top of flexible and scale-able analytics architecture that Cynepia Insights Platform provides, which enables bringing disparate datasources real easy. For more details on Cynepia Insights Platform refer to this video.

  1. Once the data is ingested from a variety of these datasources, Cynepia Data Fusion Technology further makes it easy for business users to easily explore and find datasets that could go together to get answer to your business question. Essentially, addressing the critical question of what is inside my data? Which set of datasets could be related to each other and could go together.

  1. Cynepia Advanced Data Fusion technology understands and profiles your datasets and helps business users with a set of recommended datasets that could be integrated from within tens of thousands of datasets from hundreds of datasources that a large enterprise may have. Business users may choose from the recommended datasets. Once the user chooses a set of the datasets, it further recommends the columns between the datasets that could be blended or joined together.

  1. This above steps can be repeated for as many datasets as the business user desire.

  1. Once the user is satisfied with the outcome of the datasets he or she has integrated, he can create a final dataset along with refresh parameters and further share the same with the colleague who need the same for their decision making.