Big Data Analytics

We offer solutions that allow you to analyse huge amount of data at high speed for the real-time business intelligence. Businesses should operationalize their insights in real-time to create value from the data. To truly win, organization must take advantage of the customer’s state of mind in the moment. We support leading Big Data technologies for real-time analytics such as Hadoop, Spark, Hbase, Flumes, Map Reduce, Cassandra and more.

Data Visualization

Big Data Visualization and Business Intelligence are key components for greater efficiency and competitive advantage. Eliminate the need for complex calculations and avoid xcrolling through numerous reports to track the progress of your business. Take control of the understanding of trends and patterns with most advanced visualization approaches. We offer innovative solutions for Data Visualization to meet the data consumption needs of modern businesses. We help people understand the significance of their data by placing it in an intuitive visual context.

Batch Data Processing

Data analytics help enterprises take effective data driven business decisions. Batch data processing is an efficient way of processing massive volumes of data collected over a period of time. Your organization needs to understand how the business has progressed from year to year, quarter to quarter, season to season. This can be achieved by analysing historical data over any period of time. For batch processing we use technologies such as Hadoop, Hive, Pig, Hdfs and more. Big Data engineering encompasses Ingestion, Filtering, Transformation, Storage and Analysis of large data to enable actionable insights for business intelligence.

Predictive Analysis

Predictive analytics is the way of extracting useful information from existing data to determine patterns and predict future trends. Our predictive analytics solutions predict future events by combining business’s historical data along with customer insight. Predictive analytics enable organizations to use big data to move from a historical view to a forward-looking perspective of the customer.

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