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Data Analytics

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Data Analytics

In this digital world variety of data is being generated from heterogeneous sources at rapid speeds. Data can be a wealth to any enterprise only when it can be converted into information that can be used to make intelligent decisions that leads to improved business benefits. Nexit has been rendering data analytics services that help companies flourish. We convert historical and streaming data into valuable insights. We use qualitative and quantitative techniques in order to enhance productivity and business gain. We efficiently store, categorize and analyse data and extract intelligent patterns.

Nextit uses advanced data analytics tools and methodologies which can process large and heterogeneous data sets that can identify trends, patterns and relationships. It uses predictive analytics to predict customers behaviour. Nextit uses Artificial Intelligence techniques to churn datasets faster. We use analytical systems such as Hadoop/Spark clusters, NoSQL databases or Data Warehouse. We build analytical models using predictive modeling tools or analytical programming languages such as Scala, Python, R and SQL. Nexit uses data visualization techniques and display data in more sophisticated ways with interactive capabilities that includes heatmaps, bar and pie charts, infographics, geographic maps that enhances easier findings and understandability.

Nextit extracts business value from data and build products that can empower users to discover valuable insights. we deliver turnkey IT solutions that cover data quality assurance, data integration, data management, data visualization and more, as well as provide outsourcing in this area.


Glossary



Our Process  Approach towards work flow.

 

Data analytics is important because it helps a business optimize its performance. Implementing it into the business model means companies can help reduce costs by identifying more efficient ways of doing business and by storing large amounts of data. A company can also use data analytics to make better business decisions and help analyze customer trends and satisfaction, which can lead to new (and better) products and services.

Data analytics is primarily conducted in business-to-consumer (B2C) applications. At Nexit , we collect and analyze data associated with customers, business processes, market economics or practical experience. Data is categorized, stored and analyzed to study purchasing trends and patterns.

Universal Data Access
Access all types of data including transactions, applications, databases, log files, social, machine, and sensor data.
High-Speed Mass Ingestion & Extraction
Ingest data from source systems, Hadoop, and target applications using high-performance connectivity, mass ingestion, and dynamic mappings.
Data Integration on Hadoop and Spark
Get access to an extensive library of advanced prebuilt data integration transformations on Hadoop and Spark, including embedded Python transformations for operationalizing data science work..
Data Profiling on Hadoop
Profile data on Hadoop to understand the data, identify data quality issues, and collaborate on data pipelines.
Visual Design Environment
Builds on top of the open-source Hadoop framework and preserves all the transformation logic without specialized development.
Flexible Serverless Deployment
Deploy and manage distributed resources automatically both on-premises and off-premises on Amazon Web Services Elastic MapReduce and Microsoft Azure HD Insight.

  • Data Visualization and Data Discovery : Make data widely available to decision makers throughout the organization, facilitate rapid data discovery and outcomes by using our rich analytics and data management capabilities and experience in areas including enterprise reporting, data discovery and self-service BI.

  • Legacy Modernization and Data Offloading : Keep pace with the exponential growth of your data and ensure smooth transition of legacy systems using state-of-the-art open source technologies to build agile, scalable digital systems with lower TCO.

  • Enterprise Performance Management : Be on top of your business performance, model what-if scenarios or make predictions using Machine Learning with our expertise in Business Performance Management, Budget, Planning and Forecasting and Financial Modeling and Analysis.

  • Data Integration and Consolidation Services : Capitalize on your data and develop a unified view of business with our data integration services including Data Migration, Data Modeling and ETL offloading, to fuel your applications from legacy to Applied AI while ensuring quality, security and governance.

  • QA and Testing Services : Our QA and Testing services draw on our vast experience in responsive and thorough testing to ensure tight integration of QA activities with your data management and advanced analytics project lifecycles for better business results.

  • Enterprise Data Repository Services : Ensure faster decision-making and better business planning with our Enterprise Data Repository services that includes solutions for building or modernizing your data warehouse, data lakes or blockchain databases over heterogeneous landscapes.

Distributed Data Storage Graph Processing Database Management Data Processing Machine Learning Programming Languages
Hadoop Distributed File System Apache Giraph Apache Cassandra Apache Spark Sparks Machine learning Library (MLlib) Python
Azure Cosmos DB Apache Kafka Azure ML Studio Java
Amazon Redshift Apache Flink TensorFlow Scala
Apache Hive Apache Storm PyTorch R
MongoDB Hadoop MapReduce

We are ready to work from a rough concept up to bring your ideas to life. Contact us today for a free consultation.