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.

Data Visualization & Dashboard

"A picture may be worth a thousand words". Through visualization tools nexit provides data-driven insights to users. We make users analyse and reason about data and evidence. We make complex data more accessible, understandable and usable. Delivering custom dashboards and reports, we let companies track their key performance indicators (KPIs) easily. The dashboards help to watch over the progress, spot the trends and identify suspicious behavior to react immediately. Nexit connects advanced data visualization tools to popular data sources that includes relational databases, hadoop, cloud storage platforms that can provide multiple visualizations and analysis.

Data Warehouse Development

In this competitive business world, companies need to operate from many places of the world. Huge volumes of data may be generated across the locations and decision makers need to access those data sources. Developing a complete infrastructure consisting of a data warehouse, ETL processes, OLAP cubes and more, we create a stable environment for solving particular analytical tasks. We build distributed data management platforms with scalable data architectures that enables business users to access and query relevant data faster from multiple sources that improves business intelligence.

Data Management

Acknowledging the importance of data access, data quality, data integration, etc., we develop rules and policies that ensure effective data management.

Advanced Data Analytics

Using complex rule-based algorithms and machine learning, we bring into life predictive and prescriptive analytics. As a result, our customers are able to benefit from forecasting by spotting an opportunity or a threat well in advance.

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

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