Data science is an integrative field focused on finding actionable insights from large sets of raw or unstructured and structured data. Our Data science experts use several different techniques to obtain answers, incorporating computer science, predictive analytics, statistics, and machine learning to parse through massive data sets in an effort to find solutions to problems that haven't been thought of yet.
Data Science and Analytics is a multidisciplinary field that combines the magic of programming, mathematics and business logic.
Our Data Science and Analytics practice brings together the latest in data science techniques with leading business-consulting skills to build models and solutions that can bring about the “art of the possible”. Our approach is the ability to abstract models of Day-to-day business and commercial problems that are intuitive to use, yet sufficiently realistic to support robust decision-making. These models are used to provide insight, and measure the quantity of the risks and benefits associated with solutions to complex business problems.
Predictive Analytics is the face of today's Business Intelligence platform. It offers boundless openings for organizations, helping them solve major problems like maintaining customer and employee loyalty, fraud detection, security to name a few. Predictive models and analysis are typically used to forecast future possibilities.
Forecasting is a ability to make informed estimates that are predictive in determining the direction of future trends by using historical data as inputs. Businesses utilize forecasting to determine how to allocate their budgets or plan for expected expenses for an upcoming period of time.
Business intelligence is a technology-driven process, which analyze past data and presenting those in the form of actionable information to help executives, managers and other corporate end users make informed business decisions. BI technologies provide historical, present and predictive future views of business operations.
Big Data analytics is the process of collecting, grouping and analyzing the large data sets to discover the hidden patterns and other useful information. It can help organizations to better understand data, in the form of information and will help to identify the data that is most important to the business and future business decisions.
Price optimization is a mathematical analysis process, commonly used by organizations to determine how customers will respond to different prices for its products and services through different channels. Price optimization technique is also used to decide the prices that the company determines which will best meet its goal, such as maximizing operating profit.
Data visualization is a common term that describes any attempt to help people to understand the importance of data, by placing it in a visual representation. Patterns, trends and correlations that may not be discovered in text-based data can be exposed and recognized easily with data visualization tools.
At Teplar, we are helping enterprises to apply data science to unlock the value of big data, with actionable insights for data-driven decisions for products and services that reduce customer churn, improve customer satisfaction, optimize operations, re-define business strategies and increase business revenue.
We are a level further than the rest, with highly skilled in contemporary technologies and hence, gain a competitive edge.
Our knowledge in multitudinous technologies and software processes help organizations cut down on cost and time.
Our precise and 24x7 support and maintenance procedures are all ready to help our clients, at any given point of time.
Our constant endeavor is to convert all your business requirements into a well-crafted software solution.