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Mindslab Digitech Data Analytics service is to drive customer centricity to the organization facing challenges in the digital era. We simplify data complexity to design solutions based on the Star Schema and Snowflake architectures. Our expertise lies in using the tools like Oracle, Informatica, SQL Server (SSRS, SSIS, and SSAS), MicroStrategy, Pentaho, Cognos, and SpagoBI.

• Break down data silos, improve collaboration between business functions, reduce latency in information availability, and enable right-time decision-making capability.
• Gain insight from the terabytes of data being generated on a daily basis to take smarter decisions and improve bottom line.
• Equip an increasingly mobile workforce with access to BI reports and dashboards through the mobile devices.
• Reduce the time taken to derive value from BI projects.
• Tackle inconsistencies within enterprise data to gain competitive benefits.
• Adhere to regulatory compliance requirements.
• Formulate strategies for profitable growth and actively monitor day-to-day operations.
• Extract patterns from data sets using artificial intelligence, machine learning and deep learning to support new age analytics.

Data volumes have grown tremendously and compounded the intricacies involved in their processing and analysis. Industries trends indicate that this growth will rapidly accelerate, resulting in the generation of multiple terabytes, even petabytes of data over the coming year. Mindslab Digitech utilizes the technology to produce the business outcomes by delivering business intelligence data and analytics solutions.

Mindslab Digitech uses next generation analytics to empower the organization with the data insights. With the data analytics solutions, Organization can keep pace with the developments and effectively manage their information assets to produce actionable intelligence that will help in taking business decisions.

Analytics offers visualization of the data to apply the decision to drive better outcomes. This takes the business move forward by organizing and recognizing the data. This helped the Organizations to find new business opportunities, discover new possibilities, and keep moving ahead in the competition.

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• ETL (Extraction, Transformation, and Loading).
• Data modeling.
• Metadata management.
• Data visualization, reports and dashboards.

• Hadoop.
• Cassandra.
• Pig.
• Hive.
• Sqoop.

• Esper.
• Oracle BAM / CEP.
• Event Stream processing.