Advanced Clustering Engine (ACE)

Data Creates Business Value

The idea of data creating business value is not a new; however, the effective use of data is becoming the basis of competition. Business has always wanted to derive insights from information in order to make better, smarter, real time, fact-based decisions.
Our solution can fundamentally change the way businesses compete and operate. Companies that invest in and successfully derive value from their data will have a distinct advantage over their competitors - a performance gap that will continue to grow as we developing the product that provides faster, easier data analysis.

While there is no doubt that the data services have created substantial benefits to businesses and consumers alike, there are commensurate risks that go along with collection and using data. We identify traditional and new risks and considerations for key steps to success.

Data Clustering

Extracted from the web pages data are saved in non-relational database arranged in accordance with the concept of "data clusters", i.e. sorted data in accordance with their origin, type of products, etc. Access to data in database is much shorter than checking period.

Data Governance, Usage, Quality, Security and Privacy

Company Success Depends on the Efficient Data Governance System:
Integrating and moving data across the organization is traditionally constrained by data collecting and storing techniques. Organizations need to start managing data through different sources, and integrating its usefulness via a range of technologies in the market.
Organizational information is typically historical, incomplete and inaccurate. For a forward-looking perspective (predictive modeling) it needs to be enriched with external information.
Numerical Flows Corp. designs unified physical system of data collection and unified logical system of data reports which provides timely and comparable information.
We develop unified system which incorporates the analysis of data sources by product, location, time of publishing, stability of data structures, data compatibility and data duplications.
Numerical Flows Corp. creates logical and physical data models. Logical model illustrates the different categories of data for the business, as well as how these categories of data are related to one another. Physical modeling involves the actual design of a database according to the requirements that were established during logical modeling and converted the logical or business model, into a database model.
Poor-quality, duplicate data out -of-date data could also cost substantial percent of annual revenues. Comparative analysis shows that specific data issues have continued to rise for all types of business during last years.
To gain the most benefit from data services, companies have to use an approach to optimize data collecting and improve data analysis. While there is plenty of emphasis on what data services to employ, business entities have to also consider the hidden mistakes that could unknowingly undermine those efforts. Using proposed by Numerical Flows solution, businesses have to be sure to avoid common issues that could create inefficiencies that reduce