Data Analytics

CogniSoft Technologies is a world leader in helping companies to realize Data as a Corporate Asset, with a balanced Business and IT focus.

We understand how to use Data to become an agile Intelligent Enterprise – Utilizing the leadership capabilities in your organization to utilize Data to meet all

Business and IT Challenges.

Our solutions enable companies to look at Data Ownership end-to-end and ensure proper Governance across the entire data life cycle
Data is an asset and in the current times we have to agree to that any enterprise who understands the importance of BIG data and how to utilize it for your firm’s value it will not disappoint you.

Every decision that has its base as data can always be the closest to perfect and correct.

The amount of data in our world has been exploding. Companies capture trillions of bytes of information about their customers, suppliers, and operations, and millions of networked sensors are being embedded in the physical world in devices such as mobile phones and automobiles, sensing, creating, and communicating data. Multimedia and individuals with smart phones and on social network sites will continue to fuel exponential growth. Big data—large pools of data that can be captured, communicated, aggregated, stored, and analyzed—is now part of every sector and function of the global economy. Like other essential factors of production such as hard assets and human capital, it is increasingly the case that much of modern economic activity, innovation, and growth simply couldn’t take place without data.

Data Facts (courtesy McKinsey Global Institute)

15 out of 17 sectors in the US have more data stored per company than the US Library of Congress.

235 terabytes of data collected by the US Library of Congress by April 2011

40% projected growth in global data generated per year vs. 5% growth in global IT spending.

30 billion pieces of content being shared on Facebook every month.

$300 billion potential annual value to US health care – more than double the total annual health care spending in Spain.

“Big data” refers to datasets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze. This definition is intentionally subjective and incorporates a moving definition of how big a dataset needs to be in order to be considered big data—i.e., we don’t define big data in terms of being larger than a certain number of terabytes (thousands of gigabytes). We assume that, as technology advances over time, the size of datasets that qualify as big data will also increase. Also note that the definition can vary by sector, depending on what kinds of software tools are commonly available and what sizes of datasets are common in a particular industry. With those caveats, big data in many sectors today will range from a few dozen terabytes to multiple petabytes (thousands of terabytes).

Why Customers Look at Data as a Corporate Asset :

  • It plays a key role in Merger & Acquisition activities
  • Through optimized analytics, it sustains a competitive edge in the market
  • Users misunderstand or ignore data produced by BI tools because they don’t know how to analyze it; understand the reporting tool capabilities, or where the data is coming from.
  • With the current economic downturn, organizations are forced to optimize their data to increase shareholder value
  • It is the foundation for seamless process integration and ownership