Tools and Technologies
Cassandra, Apache Spark, Mongo DB, Apache Kafka, Hadoop, HBase, Map reduce, Scala and Tableau, Power BI.
IntellyLab's analytics delivery
IntellyLab's analytics delivery helps you develop strategies that turn data assets into a true competitive business advantage. The data science team applies state-of-art techniques, tools, and technology to ensure that you derive powerful insights from data.
IntellyLab's advanced analytics
Deploy advanced analytics for decision support to improve your operational effectiveness and efficiency and test the results of your customer-facing digital initiatives to ensure maximum impact. Build an advanced analytics organization, embedding the capabilities you need to execute your big data and analytics strategies consistently while also addressing the change management issues that naturally arise.
DataScience and Engineering in action
DevOps Engineering
Future Workforce Insights
A comprehensive approach that creates a more productive and adaptive workforce, uses digital technology to reinvent the employee experience, and redesigns organizations to be more agile.
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Engineering
How process automation changed the game
A US based consumer products company wanted to improve efficiencies by reducing labor intensive activities in their supply chain and financial and accounting processes.
Read MoreFrequently Asked Questions
Why do I need data engineering services?
Data engineering services will help your business replace manual processes that are time-consuming and eliminate the costly data infrastructure with efficient and automated data fetching and processing.
We have limited ideas about data engineering services. How will IntellyLabs help us to access our requirements?
Our SMEs will connect and understand your requirements. You don’t need to have a deep understanding of data engineering services to avail of our solutions. Our SMEs will select the right tech stack for your business based on your requirements that fit into your current budget, goals, and IT infrastructure.
Is there a difference between data engineering and data science?
Data science is used to provide insights and information to businesses. It uses techniques from statistics, computer science, and applied science to structure and analyze data.
Data engineering service providers build systems for storing, collecting, and analyzing data at a large scale. It also creates pipelines to transport data from one source to another.
What benefits will my business get with Data engineering services?
- Helps your business make data-driven decisions helping you move forward.
- Improves product quality and UX by analyzing the structured data.
- Reduces costs and resources by simplifying the data infrastructure.
- Decreases your time for a successful project completion by accessing powerful insights.
Click here to identify new business opportunities by structuring your data.
Request for services
Discover range of service offerings for various Engineering Services. Let us know your areas of interest so that we can serve you better.
Request for services
Discover range of service offerings for various Engineering Services. Let us know your areas of interest so that we can serve you better.