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Real-Time Data Analytics: An Essential Ingredient for Success in a Data-Driven Business Enterprise

Micro Focus Contributor
Micro Focus Contributor
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by Rameez Meerasahib, Big Data Analytics Chief Technologist, Micro Focus Professional Services

What do customers expect from a competitive data-driven industry such as banking, education, health care, social media, transportation, manufacturing, or retail? Is it speed, quality of data governance, representation of data that can be easily be understood by users, or near-zero latency to get desired services? The answer is all of the above, and if we want to be successful, we cannot compromise on any one of them.

So what is the secret ingredient for achieving this goal?

In a nutshell, it’s to employ the concept of Big Data Real-Time Data Analytics in the proper framework to manage/interpret the enormous amount of business and machine data, and provide real-time outcomes. Real-Time Data Analytics receives and processes, and analyzes a continuous flow of real-time data, and performs actions based on the results with a very negligible latency. Big Data Real-Time Data Analytics is the pulse on which a data-driven industry runs efficiently.

Real-Time Data Analytics facilitates:

·         Viewing a live relay of the ongoing changes of data in a dashboard, e.g. in a marketing campaign or the stock market

·         Rapid strategic decision-making

·         Comparing current and historical data

·         Detecting data anomalies

·         Integrating analytics for process automation and operational efficiency

·         Faster time to value

Many data-driven organizations such as Uber, Yellow Pages, Intuit, DreamWorks Animation, Cerner, and Guess harness the advanced analytics capabilities of Vertica to help them to stay well ahead. Specifically, Vertica software provides robust real-time data analytic capabilities using columnar database storage that speeds SQL-based query time by reading and analyzing only necessary data, and provides real-time data analytics insight to the customer.

Many customers with different requirements who are interested in taking advantage of real-time data analytics capabilities in their data-driven organization have tried and failed due to lack of expertise and guidance. Vertica Professional Services uses a proven analytics methodology to help customers in different stages of analytics maturity meet their varied demands and solve their complex analytics use-case challenges. This methodology classifies customers according to five stages: Nascent, Pre-adoption, Early Adoption, Corporate Adoption, and Mature/Visionary. Customers have the flexibility to either progress through all the stages, or to skip a stage, depending on their business needs.

A well-defined set of services marks the successful completion of each stage. The fifth and final stage is intended to achieve a mature model by providing Big Data Cloud Accelerators, Solution Management Services, High-Performance Data Ingestion Services, and Predictive/Machine Learning solutions. The customers gain high ROI with a mature data analytics solution when all stages are completed.

We combine People, Processes, Framework, and Technology in precisely the right measure to derive an advanced, mature, data-driven, real-time data analytics solution for your business enterprise.

To gain deeper insight into building a mature data-driven business enterprise with real-time data analytics capabilities, see The Five Stages of Big Data Adoption.

To learn more about Vertica and how Vertica Professional Services can help you on your Big Data Adoption journey, visit:


Vertica Professional Services

Big Data Analytics Services

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