BRACHIN LLC a leading Big Data Software and Consulting firm introduces “Learn Before You Buy™” where Small Medium Enterprises can use Big Data Genie™ its Big Data tool for one year complimentary. The program enables clients to implement their real-life business scenarios. Clients will be able to see first-hand the speed of Big Data Genie™. They will also be in a position to measure Big Data Genie™’s low operational costs. Big Data Genie™ provides the lowest operating costs for a powerful Big Data engine. One year is an excellent time frame to implement several “Use Cases”, measure the fast response time and the outstanding low operational costs. Learn Before you Buy™ puts the client in the center in a positive, proactive, and controlled environment. It demonstrates value in real-life scenarios, where clients can see for themselves the worth that Big Data Genie™ brings, and its ability to adapt to meet ongoing business needs and challenges. The end-user will notice improvements to productivity, ease-of-operation, and profit. It enables clients to develop a stronger collaboration with us BRACHIN LLC, the vendor. IT leads to stronger collaborative connections.

Big Data Genie™ is at least 2 times faster and 5 times more economical than Exasol and Microsoft SQL Server. It is also more energy efficient. Big Data Genie™ Analytics System provides distributed storage, distributed processing and real time query response for very large data sets known as Big Data, and we provide a much faster system with a much lower cost of performance and energy requirements. Big Data Genie™ supports Machine Learning Applications. Modern applications require fast "online" machine learning on up-to-date data. Due to its internal data organization, Big Data Genie™ acts as an online Bayesian modeling tool and provides fast scoring through its query mechanisms. Faster up-to-date learning directly translates into higher business gains.

Big Data Genie™ is a powerful tool for distributed storage, processing and real time querying of very large data sets known as Big Data. Big Data Genie™ analytics can be implemented in classical Data Warehouse or cloud solutions.

Big Data Genie™ provides distributed storage, distributed processing and real time query response for very large data sets known as Big Data, and we provide a much faster system with a much lower cost of performance and energy requirements.

Big Data Genie™ can be implemented in classical Data Warehouse or cloud solutions. It can also involve data from other sources, such as relational (Oracle, DB2, SQL Server, etc) or NOSQL (Cassandra, HBase, Hive, Spark) databases.

Big Data Genie™ More Speed and Better Cost Performance Benchmarks

Use Cases

Supporting Machine Learning Applications

Modern applications require fast "online" machine learning on up-to-date data. Due to its internal data organization, Big Data Genie™ acts as an online Bayesian modeling tool and provides fast scoring through its query mechanisms. Faster up-to-date learning directly translates into higher business gains.

Big Data Creates Dynamic Business Planning

Big Data applications enable companies to bring together large amounts of disparate operational data from different parts of the organization to perform complex scheduling and simulations in real time. The value of Big Data can be seen through its ability to accelerate internal corporate planning cycles, allowing companies to iterate on their plans.

With the Big Data Customer Engagement Intelligence solution, you can gain a deeper and more comprehensive understanding of true customer value and engage with each customer in a more personal and relevant manner.

In today‘s world of "real-time" business and ever-increasing customer expectations, organizations need to improve customer relationships with highly targeted marketing campaigns and more customized offerings. At the same time, businesses need to focus on high-value customers, products, and channels that can further improve their financial performance and predict future trends.

The Big Data Customer Value Intelligence analytic application provides sales and marketing managers with deeper understanding of their core, opportunistic, marginal, and service-drain customers and helps them position the right products and services to the right customer segments.

Customer Discovery and Targeting

The Customer Discovery and Targeting analytic application allows marketing managers to engage customers and convert prospects by running high precision segmentation on large customer populations and distilling insights into targeted and personalized marketing campaigns. You can adjust your marketing strategy and tactics in real time to reach the right audience at all times.

Big Data Proactive Risk Management

Leveraging the real-time and predictive power of Big Data, these applications help companies answer dynamic forward-looking questions to develop proactive risk management capabilities and protect their assets while driving growth.

Big Data and Fraud Management

Independent studies indicate that fraudulent behavior not only costs companies billions in lost revenues but can also damage reputations. Risk officers and fraud investigators today are looking at adopting new technologies that will help them take a proactive approach to managing fraud in their organizations. However, many of today’s tools fail to identify fraud until after loss has occurred. The cost of using these tools is high, and the return is low. You can overcome these challenges and implement effective fraud prevention strategies that can drastically reduce financial losses with early fraud detection.

Benefits

Generating Business Value from Big Data and Analytics

Business has fundamentally changed – your competitors (known and unknown) are harnessing data to drive growth and profitability now.

The keys for Success are:

Understanding the non-obvious connections in the complex, global and ever-changing economy
Dynamic analytics solutions to improve the agility of the business. Our Big Data solutions:
Automatically identify relevant changes in the constantly changing environment
Account for the effects of those changes on your business
Provide sound decision support within this context
Holistically addressing the growth, efficiency and risk mitigation agendas.
A data-driven organization embeds the ability to harness data in every aspect of its business, including how decisions are made, how processes are operated, and how people are enabled.

Success depends on:

Elevation of the importance of data and its robust uses to a C-Level priority that informs all actions
Willingness to change process, people and technology together
Keen attention to the cultural elements
Moving from gut instinct to reliance on objective data
Incentivizing employees to test new concepts
Moving from ownership to stewardship of data.
Data is a business raw material that becomes valuable through the use of analytics. Big Data requires advanced analytics and technology to capture the value.

Success is achieve by:

Solid handle on data available throughout the organization, enhanced with access to relevant 3rd party data
Strong information management to fully access and leverage of your business data
Technology capability to transform big data into usable data for qualitative and quantitative analytics
Diverse analytics capabilities embedded throughout the organization.
Data and analytics is not simply about technology. A business problem orientation helps to zero in on the right data and apply the right analytics to generate tangible value.

The Critical Success Factors are:

Clear definition and prioritization of the business problems to be solved
Helps identify the most relevant data
Focuses new analytics to deploy
Provides clear success criteria
Think big, prove small – pilot data integration and analytics to determine if they provide the business solution
Strong understanding of how various data and analytics technologies fit together and how they work with your legacy systems.
New opportunities, new risks – while data is a valuable asset, new uses of it pose new risks – organizations need to carefully balance them.

Success will be driven by:

Understanding the pieces of the puzzle your data answers for those outside of your traditional value chain can provide new revenue opportunities
Strong data governance by design balances the risk of using data with the reward of capitalizing on it
Robust information protection policies and controls implemented through technology reduces compliance and breach risks.

Measurable Value through Big Data and Analytics
Adapting in a Dynamic, Complex Environment - Real-Time decision engine that interacts with the external environment and the user environment to inform of critical time-based decisions.

Solution for collection, integration and analysis of financial information from several manufacturers’ global supply bases to monitor supplier health, provide early warnings of financial distress, prioritize mitigation efforts and support new business award decisions.

Transforming to a Data-Driven Organization - Analytical Transformation Roadmap created to connect disparate data solos and address challenges cutting across people, process, and technology.

Enterprise Performance Management transformation including standardization of data hierarchies and KPIs, establishment of a corporate reporting center and reporting automation.

Generating Value from Big Data and Analytics - Automated early product quality warning and competitive position reporting from social media using a Big Data social media data set.

Issue identification, scoring and prioritization with systematic evaluation of over 8 million transactions from client’s travel and expense and credit card transactions.

Business-Driven, Technology Enabled - Optimized schedule for a complex events organization with cloud-based optimization software.

Enhanced loan origination data set using machine learning and name resolution to serve as an input for a bank’s a predictive risk model.

Alerted client to potential red flags associated with new product line and assisted in integration of Privacy-by-Design process. Risk exposure model assessment and scoring on hundreds of models to identify fair lending risk associated with protected groups. Risk scoring and rating system to identify and report vulnerabilities.

For more information on the “Learn Before You Buy™” program and Big Data Genie™, please contact:

Amber Kelly
This email address is being protected from spambots. You need JavaScript enabled to view it.
Tel. 1-(302)-715-0062, 1-(877)-212-9407
http://brachin.com/