We are leaders at leveraging big data to help clients drive higher ROI
What is changing in the realm of big data?
Big data is changing the way people within organizations work together. It is creating a culture in which business and IT leaders must join forces to realize value from all data. Insights from big data can enable all employees to make better decisions—deepening customer engagement, optimizing operations, preventing threats and fraud, and capitalizing on new sources of revenue. But escalating demand for insights requires a fundamentally new approach to architecture, tools and practices.
Reasons Why Big Data Is Important
Data is emerging as the world’s newest resource for competitive advantage.
Decision making is moving from the elite few to the empowered many
Value Of Data
As the value of data continues to grow, current systems won’t keep pace
We transform big data into useful information by running Big Data solutions on the Cloud. We have certified Cloudera, Hortonworks, and Mapr experts who can help you achieve data singularity while implementing enterprise data hub and enterprise data exchange solutions. On top of that we have data scientists of multiple industries and sectors..
Some of our latest implementations are:
An enterprise data hub solution for data singularity, also at the same time understand the consumer buying habits
An enterprise data exchange solution for data singularity, making data sharing easy, single point of truth.
An automated cloud based big data solution running analytic for a specified time, so we pay for infrastructure only that period
An enterprise Big Data solution to track consumption and buying trends for a huge retailer
Big Data Techniques
Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, create, manage, and process data within a tolerable elapsed time.Big data “size” is a constantly moving target, as of 2012 ranging from a few dozen terabytes to many petabytes of data.
Big data requires a set of techniques and technologies with new forms of integration to reveal insights from data sets that are diverse, complex, and of a massive scale.Big Data Analytic for Manufacturing Applications can be based on a 5C architecture (connection, conversion, cyber, cognition, and configuration).
The data lake allows an organization to shift its focus from centralized control to a shared model to respond to the changing dynamics of information management. This enables quick segregation of data into the data lake, thereby reducing the overhead time