Business Intelligence
BluEnt empowers companies to have a more comprehensive knowledge about the factors affecting their business. It does this through applications and technologies that gather, provide access to, and analyze data and information about company operations.
Operational Business Intelligence, a dynamic form of BI, focuses on enhancing and automating business performance. Working with BluEnt allows you to exploit the benefits and best practices for implementing this collaborative, business process-aligned intelligence environment.
Our information strategy, data warehousing, data mining and information analytics services measure, analyze and optimize business performance across your entire enterprise.
Furthermore, our team of designers uses the optimum blend of form and functional compatibility to provide world-class services. They work with other allied professionals, keeping in mind your functional needs, goals and aesthetic desires.
BluEnt’s solutions ensure that your critical business decisions are based on current, reliable information. Operational Business Intelligence allows you to successfully gather data affecting differing industries. A majority of top companies currently use business intelligence to support budgeting, customer service, sales, marketing and operations.
Business intelligence can help your organization achieve higher levels of performance by:
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Providing actionable insights that help pinpoint revenue-generating opportunities and improve operational efficiencies and visibility across the organization
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Optimizing the return on existing business and IT investments such as data management, data mining, customer intelligence, customer relationship management and enterprise resource planning technology
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Achieving greater compliance with government and regulatory guidelines
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Enabling faster problem solving and decision making at strategic, operational and tactical levels by internal and external users
Analytics
BluEnt helps organizations gather and interpret data to make better business decisions and optimize business processes.
Business analytics is a term used for more “sophisticated” forms of business data analysis. Analytics closely resembles statistical analysis and data mining, but tends to be based on physics modeling, involving extensive computation.
BluEnt can help improve your business performance by:
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Evaluating what your needs are
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Implementing the solution you choose
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Maximizing your results
Data Mining
It is the process of analyzing data from different perspectives and summarizing it into useful information that can be used to increase revenue and cut costs.
Dedicated architects and consultants will design, deploy and optimize scalable solutions that are tailored to your business and IT needs. This will help increase your efficiency and compliance, foster business alignment and deliver financial administration control.
Data Mining (DM), also called Knowledge-Discovery in Databases (KDD) or Knowledge-Discovery and Data Mining, is the process of automatically searching large volumes of data for patterns. It uses tools such as classification, association rule mining, and clustering.
Data mining is a complex topic, has links with multiple core fields such as computer science, and adds value to rich seminal computational techniques from statistics, information retrieval, machine learning and pattern recognition.
Data Warehousing
Maximizing the business value of your enterprise data.
A data warehouse contains raw material for management’s decision support system. BluEnt performs complex queries and analyses (such as data mining) with information without slowing down the operational systems.
Improve your corporate memory with BluEnt’s Data Warehousing and Integration.
Data warehousing and integration is designed to optimize query, analysis and reporting performance. Today’s data integration technologies have brought significant efficiency to building, maintaining and enhancing data warehouses.
These technologies allow organizations to access all of their fragmented data, create an integrated view of their core information assets and easily leverage these assets across the enterprise.
BluEnt’s solutions help to solve issues such as poor data quality, inconsistencies in the structure of data and inadequate data governance. As a result, your days of the over-budget, under-performing data warehouse will be over.
Data warehousing solutions are often expensive and risky because:
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Access and understanding of older and legacy systems require special skill sets
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Ever growing volumes of data and demand for real-time data feeds
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Complexity of changing business requirements, source data systems, and reporting hierarchies
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Inability to deliver access to data warehouses for large communities of users
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Slow or poor adoption due to little confidence in the data
BluEnt’s data warehousing and data integration solutions offer the following advantages:
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Minimizes risk of reducing project scope as a result of cost overruns
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Improves data consistency across systems, processes and organizations
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Improves the efficiency of accessing, managing and delivering information throughout your organization
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Architects and implements end-to-end solutions that satisfy your business intelligence needs
Predictive Analytics
Predictive Analytics involves extracting information from data and using it to predict future trends and behavior patterns.
It encompasses a variety of techniques from statistics and data mining that process current and historical data.
Predictions rarely take the form of absolute statements, and are more likely to be expressed as values that correspond to the odds of a particular event or behavior taking place in the future.
In business, the models often process historical and transactional data to identify the risk or opportunity associated with a specific customer or transaction. These analyses weigh the relationship between many data elements to isolate each customer’s risk or potential, which guides action on that customer.
Predictive analytics is widely used in making customer decisions. One of the most well known applications is credit scoring, which is used in financial services.
Scoring models process a customer’s credit history, loan application, customer data, etc., to rank-order individuals by their likelihood of making future credit payments on time.
Predictive analytics is also used in insurance, telecommunications, retail, travel, healthcare, pharmaceuticals and other fields.
Ready to streamline your business with business intelligence solutions? Contact us now!
