•   Oil & Gas
  
  
•   Telecommunication
  
  
•   Banking and Finance
  
  
•   Governmental Services
  
  
•   Retail and Wholesale
  
  
•   Realty and Insurance
  
  
•   Healthcare Organizations
  
  
•   Manufacturing and Quality
  
  
•   Education and Learning
  
  
•   Information Technology
  

range of analytics services across different industries. Nevertheless, and despite that our deliverables range from fully deployed models to paper reports, the end result of our offerings is always a new prospective on your business you’ve never seen.

and vertical market's designated solutions and expertise, we are well-positioned to lead data mining projects in all main verticals, including Banking, Telecom, Hi-tech, Healthcare, Insurance and Retail, ensuring that our business intelligence solutions deliver real business value and maximize ROI.

extensive domain expertise, vertical knowledge, and best practices from both business and research to provide the depth and the breadth needed to deliver outstanding analytic projects across industry verticals.

The key to our success is simple – Each client's situation is unique, and we design targeted analytic solutions that are tightly matched to each client’s business goals. Our focus is always on understanding the needs of our client first. We then select the most efficient combination of resources and methodologies that best meet the client needs.

Our partnership with the best-in-class technology providers enables us to deliver complete solutions. From consulting, planning and design to full scale project implementation, our robust and effective methodologies provide organizations with the knowledge they need to proactively predict and respond to opportunities and threats, manage risk while ensuring efficiency, and optimize business process to capitalize on new sources of revenue:

domains to provide insightful reports outlining market trends in different industries. By looking into past information, collecting and analyzing survey and historical data, the revealed knowledge is captured in periodically published add-value reports that provide a 360-degree view of the market in focus.

Examples include macroeconomic reports describing the credit risk level in designated sectors of the economy as well as real estate market performance reports describing housing and foreclosure trends.

Business Intelligence (BI) is a collection of powerful performance management tools that help companies gather and consolidate data, and provide information to end users when they need it. Properly deployed, BI promises timely insight into seemingly disparate information.

However, the success of BI adoption depends critically on how well the product fits the needs of an enterprise. In addition to product research and brand comparisons, Cognitro and in conjunction with its BI partners can conduct an internal assessment of related enterprise processes, create roadmap for implementation, as well as recommend the right solution that fits your need, minimizing therefore risk of project failure and maximizing ROI.

Analytics assessment is designed to provide a foundation for discovery of critical business patterns and trends, producing a proof of concept that shows how business analytics and data mining can be applied to answer your complex business questions.

During assessment, we evaluate the overall situation and analytics resources and draft the overarching strategy to direct the project to completion. We also conduct an audit of the collected data, assess its fitness, and evaluate the impact of its quality on organization's performance and profits.

progression for querying data warehouses. While the potential value of uncovering such previously unknown relationships is manifold, revealing the critical success factors is an invaluable asset to business process optimization.

The discovery of relationships among data may reveal, for example, correlation among certain sale items and ultimately help identify cross-selling opportunities.

The knowledge of these relationships may then be used to increase or decrease the likelihood of those events occurring. Data mining is, therefore, a method that can be used by business analysts that have massive amounts of heterogeneous raw data upon which they must base decision processes.

the uncertainty inherent in guessing what will happen in the future if a decision is taken. To attract the right customer or set the best price, one needs visibility into the future; that is:


Cognitro can turn uncertainty into probability using predictive analytics derived from mathematical models. Such predictive models can be developed and integrated so that rules for the decision are based on the likelihood of relevant future outcomes.

Automating the business process in many BPM frameworks requires that a set of rules are derived from the business process to guide its flow for a better balance of operational and strategic outcomes. Using advanced analytics techniques, business rules created by analyzing historical data are optimized by selecting the best process flow that minimizes redundancy while increasing efficiency. BMP rules can then be embedded in the business environment to cut cost and save time.

This analytical method of automation allows the process to be continuously updated to reflect shift in operational tactics and organizational strategies.

Predictive analytics offers a great opportunity for creating analytically-driven approach to business process management. The goal of reaching the overall strategic goal of providing the highest quality of service while maximizing operational efficiency is common to most organizations.

As organizations strive to maintain balance between quality and efficiency, a thorough review of the current performance is required based on well-defined and actionable key performance indicators (KPI) built on balanced set of measurable metrics. These KPIs essentially form the main tools for assessment of current operational capabilities as well as market drivers to enable management to have a clear focus on how to reach their strategic goals.

However, as organizations focuses on the issues-of-the-day, critical information is lost in the noise of financial, operation and customer data. Cognitro can help discover actionable insights which will reveal a multitude of opportunities for improving efficiency, driving productivity and enhancing quality at the same time.

designed to explain the art and science of analytics in simple and easy language. The main goal is to enable average professionals and practitioners to understand analytics terminology, capabilities, limitations, risks, rewards, and best practices to reap its full benefits and obtain the maximum return on investment.

All courses contain a balance mixture of theory and practice with interactive breakout sessions. Our seasoned instructors are PhD researchers and developers of data mining and predictive analytics algorithms with years of deep involvement in innovative research and development of real-world data mining solutions. For more information, please click here