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Predictive analytics can help predict the future
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Predictive Analytics

We use a variety of statistics, data mining, and artificial intelligence tecnhiques to analyze and make predictions based on your data. By using our predictive software, our clients can make better decisions about daily and long-term operations, thus greatly improving the efficiency of their company.

• Benefits of Predictive Analytics
• Predictive Analytics in the Oil & Gas Industry
• Predictive Analytics Through EXC
• Algorithms and Techniques

Benefits of Predictive Analytics

Predictive analytics helps companies identify opportunities for operational improvement and areas where inefficiencies can be minimized. Advanced numerical algorithms provide companies with faster, more accurate answers than traditional methods of analyzing data. Managers can make better, well-informed decisions, and businesses can run more efficiently, minimizing problems down the road.

Studies have shown that companies that make decisions based on predictive analytics models are more likely to generate a greater return on their investment than companies that do not employ predictive analytics models.

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Predictive Analytics in the Oil & Gas Industry

Predictive analytics has traditionally been underutilized in the oil and gas industry. Although other industries, such as the retail and financial sectors, rely heavily on predictive analytics, the O&G industry has yet to take advantage of this powerful technology. A few companies are beginning to use predictive analytics regularly, and many people in the industry expect the technology to become increasingly critical in the next few years.

Predictive analytics offers a valuable alternative to traditional methods of analyzing data and it can be applied in several different areas. EXC has developed or is working on numerical methods for materials analysis, equipment maintenance, exploration, and other applications. Our solutions have provided more accurate and cost-effective data analysis than what previous methods offered.

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Predictive Analytics Through EXC

At EXC, we use the most cutting-edge computational methods available to analyze a company's existing data. Our predictive analytics solutions can identify opportunities and minimize risk in daily opearations. They also provide clients with a good idea of emerging patterns, trends, and changes in their given industry.

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Algorithms and Techniques

We do not limit our clients to specific data algorithms or techniques. Instead, we use a wide variety of techniques to successfully analyze our clients' data. By sampling from a large body of algorithms, we provide our clients with the most accurate model for their data. Some of the methods we use are:

• Regression Analysis
• Discrete Choice Models
• Time Series Models
• Survival or Duration Analysis
• Classification and Regression Trees
• Multivariate Regression Splines
• Machine Learning Techniques
• Neural Networks
• Radial Basis Functions
• Data Clustering (e.g., K-means, Fuzzy, QT, etc.)
• Bayesian Learning
• Decision Trees
• K-Nearest neighbor
• Monte Carlo Simulation
• and more

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Contact EXC Today

Predictive analytics can help your company cut costs and reach new levels of efficiency. Our skilled team and dedication to our clients can help your business achieve its future goals. To learn what we can offer your business, contact EXC today.