Predictive Analysis

Most companies across various domains now have the ability to collect a lot of structured as well as unstructured information. But the true value resides in converting all this information into knowledge by collecting useful insights and actionable outcomes based on validated repeatable patterns and relationships in the data.

IT Researches provides a comprehensive and robust data/text mining and predictive analytics solution that can deliver solutions ranging from fraud detection in insurance/banking to process optimization in the manufacturing domain.

   Leading-Edge Predictive Analytics: Sophisticated algorithms to build models that provide the highest accuracy and best ROI.

   Enhanced Text Analytics: Advanced text miner tool leverages unstructured/textual data such as claim notes within the model building process.

Predict and influence business outcomes – and respond to change before it happens – with predictive analytics from IT Researches. Combine capabilities such as predictive modeling, Big Data mining, real-time business intelligence (BI), data visualization, and more, to see what trends are emerging and where performance is headed. Our easy-to-use solutions can help you predict future customer needs, detect and prevent threats, and guide frontline decisions with forward-looking insights.

Why Predictive Analytics Matters

Rise of Big Data

Predictive analytics is often discussed in the context of big data, Engineering data, for example, comes from sensors, instruments, and connected systems out in the world. Business system data at a company might include transaction data, sales results, customer complaints, and marketing information. Increasingly, businesses make data-driven decisions based on this valuable trove of information.

Increasing Competition

With increased competition, businesses seek an edge in bringing products and services to crowded markets. Data-driven predictive models can help companies solve long-standing problems in new ways.

Equipment manufacturers, for example, can find it hard to innovate in hardware alone. Product developers can add predictive capabilities to existing solutions to increase value to the customer. Using predictive analytics for equipment maintenance, or predictive maintenance, can anticipate equipment failures, forecast energy needs, and reduce operating costs. For example, sensors that measure vibrations in automotive parts can signal the need for maintenance before the vehicle fails on the road.

Companies also use predictive analytics to create more accurate forecasts, such as forecasting the demand for electricity on the electrical grid. These forecasts enable resource planning (for example, scheduling of various power plants), to be done more effectively.

Cutting-Edge Technologies for Big Data and Machine Learning

To extract value from big data, businesses apply algorithms to large data sets using tools such as Hadoop and Spark. The data sources might consist of transactional databases, equipment log files, images, video, audio, sensor, or other types of data. Innovation often comes from combining data from several sources.

With all this data, tools are necessary to extract insights and trends. Machine learning techniques are used to find patterns in data and to build models that predict future outcomes. A variety of machine learning algorithms are available, including linear and nonlinear regression, neural networks, support vector machines, decision trees, and other algorithms.

Don’t just predict the future – influence it

With predictive analytics, the possibilities are endless: predict buying behavior, manage financial risks, fight crime, avoid equipment downtime, and much more. Our consulting services can help you unleash the full power of predictive analytics – no matter your industry. Rely on our data scientists and experts to help you establish forward-looking, data-driven decision making throughout your organization.

Predictive analytics can take you from guesswork to prediction by showing you where you are now, and where you can go next. It empowers you to analyze trends, patterns and relationships in your structured and unstructured data, apply those insights to predict future events, and act to achieve your desired outcomes.

Whether you work in marketing, customer service, sales, finance, operations or another area of your business, IT Researches predictive analytics solutions puts a wealth of advanced capabilities at your fingertips, anywhere you need them—on premises, on cloud or as a hybrid solution. Our solutions combines capabilities such as statistical analysis, predictive modeling, decision optimization and scoring, data collection and more, providing you with the tools to solve all of your organization’s data challenges more quickly and with better results.

Our Predictive analytics solutions are designed to meet the needs of many different users and skill levels, from beginners to experienced analysts. And they allow organizations of every size, from small and midsize businesses to the largest enterprises, to guide tactical and strategic decisions with the power of predictive intelligence.

Analytics Consulting

Partnering to Deliver Leadership and Insight


A team of seasoned professionals guides your organization from the moment your evaluation starts through to production deployment. Our consultants combine years of industry experience and the team is comprised of Ph.D.s, MBAs, statisticians, mathematicians, engineers and technology professionals.


The IT Researches Consulting Services team is available to work with your organization in a variety of ways including:
  • Defining and documenting business objectives
  • Data discovery and assessment
  • Designing and building of analytic data marts
  • Developing modelling methodology, process and/or environment
  • Generate regular scores and scoring strategy
  • Designing and/or implementing deployment process