Predictive analytics solutions offer decision makers the insights required to forecast developments, respond to challenges pro-actively, and capitalize on future trends. It helps industry experts uncover relationships between unstructured and structured data, draw relevant inferences and plan accordingly. It also aids businesses harness big data to their advantage, which in turn helps them in pricing products, identifying trends, maintaining inventory and much more.
Predictive analytics solutions reduces business risk, improves efficiency and increases profits through data analysis and systematic reasoning. Businesses can use this analysis method to understand customer preferences and respond accordingly. Leveraging big data to collect information from social streams will help companies get a brief report based on behavioral data, which in turn helps them initiate marketing campaigns that target some of segments in the market, depending on their interests.
At Teplar, our experienced team of business analysts and predictive analytics experts leverage the potential of modern predictive analytical tools, to generate detailed insights and augment intelligence into business areas that maximize ROI and utmost productivity and profitability. We develop customized predictive models based on client requirements that provide optimum cost effectiveness and faster go-to-market time. Our latest statistical techniques provides best of high volume data processing that can enable smart decision making in quick time frame. We utilize data from different sources available and based on market trends, come up with a necessary predictive model.
Customer churn happens when customers or subscribers stop doing business with a company or stop using service, also known as customer attrition. It is also mentioned as loss of clients or customers. Customer churn is useful in many industries, for example, churn rates are particularly useful in the telecommunications industry, because most customers have multiple options to choose within a geographic location.
Customer Lifetime Value (CLV) is relating to money value that represents the amount of revenue a customer will provide the business over the lifetime of the relationship by using predictive analytics solutions. SASS, Insurance and banking industries frequently do this prediction to understand the future of their business.
Product Lifecycle Intelligence (PLI) is an evolution of Product Lifecycle Management (PLM) focused on mining insights from product development data that has accumulated within PLM and other integrated business systems. Implementing PLI will address your business challenges in quick and easy way.
Market Mix Modeling (MMM) is an approach that aids in quantifying the impact of several marketing inputs on Sales or Market Share. Marketing Mix Modeling measures the potential value of all marketing inputs and recognizes marketing investments that are most likely to produce long-term business revenue growth.
Classification & Regression Trees (CART) are machine-learning methods generally used in data mining with the objective of creating a model that predicts the value of a target (or dependent on that of another variable) based on the values of several input (or independent on that of other variables).
At Teplar, Our predictive analytical solutions starts from Reporting : What happened? Analysis : Why did it happen? Monitoring : What is happening now? And finally, Predictive Analytics : What will happen in the future?
We are a level further than the rest, with proficiency in cutting-edge technologies and hence, gain a competitive edge.
Our knowledge in latest technologies and software processes help organizations cut down on cost and time.
Our precise and 24x7x365 support and maintenance procedures are all ready to assist our clients, at any given point of time.
Our constant endeavor is to transform all your business requirements into a skillfully constructed software solution.