Big Data Analytics iFive technology pvt ltd

Introduction to Big Data Analytics

Big data analytics is where advanced analytic techniques operate on big data sets. Hence, big data analytics is really about two things—big data and analytics—plus how the two have teamed up to create one of the most profound trends in business intelligence (BI) today. Let’s start by defining advanced analytics, then move on to big data and the combination of the two.

Analytics helps us discover what has changed and how we should react. Second, as we crawl out of the recession and into the recovery, there are more and more business opportunities that should be seized. To that end, advanced analytics is the best way to discover new customer segments, identify the best suppliers, associate products of affinity, understand sales seasonality, and so on

Big Data Consulting and Custom Solutions

iFive Technology addresses the challenges of collecting, storing and processing ever-growing volumes of Big Data on an industry scale. We deliver Big Data consulting and development services tailored to businesses in Manufacturing, Automotive,Pharma Industry,Paints & Chemical Industry, Food Processing Industries, Electrical Components Manufacturing and Telecommunications, Banking and Finance, and more.

Our Big Data consultants make data science serve the enterprises striving to harness complex data processing operations. What you get is powerful insights derived from the vastness of mission-critical information, which makes your everyday decision-making fact-based and agile.

Big data isn’t just about data volume - Defining Big Data Via the Three Vs
The three Vs of big data

Most definitions of big data focus on the size of data in storage. Size matters, but there are other important attributes of big data, namely data variety and data velocity. The three Vs of big data (volume, variety, and velocity) constitute a comprehensive definition, and they bust the myth that big data is only about data volume. In addition, each of the three Vs has its own ramifications for analytics.

Big Data Strategy

Our experts will help you evaluate your current capabilities and take them further with a strategy to reveal the true value of Big Data for your business goals.

Data Governance

The quality of data is paramount. We ensure that all the data on your hands is complete, clean, and deduplicated. Moreover, we set up rules and policies for proactive governance and quality verification to keep that data up to your standards at all times.

Data Mining and Aggregation

We help you embrace the variety of Big Data sources by bringing them together on a holistic map so that your enterprise can look for the right answers without missing critical details.

Big Data Integration

To deliver a real-time and complete picture of your data assets, we connect data, systems and processes throughout your IT ecosystem and bring them into a single manageable silo.

Customer Master Data Management

You can deliver satisfying customer experience only by having a unified, all-round view of your customers. For this, we enable customer master data management across your enterprise applications, such as CRM, ERP, or accounting, and make sure it is accurate and consistent.

Big Data Analytics

With our advanced Business Intelligence expertise, we transform vast amounts of unstructured data into visualized, customizable reports enhanced with interactive dashboards that make analytics manageable even for non-tech users.

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