Data platforms and analytics
Build a high-value data ecosystem with holistic expertise and a strategic approach from Insight.
A well-functioning data environment means greater visibility and a clearer path to digital transformation.
Data ecosystems that work
In years past, sophisticated data environments weren’t necessary for most businesses. It was simple to organize, store, and protect data. The important data was easy to find, and analysis was performed manually by higher-ups looking for specific points.
Today, modern data platforms and robust data analysis capabilities have become mission critical as data volumes and IT environments expand. Advance your approach with Insight.
With expert guidance adopting modern architectures and solutions, we’ll help you:
- Eliminate data silos by adopting a unified data service that is open, reliable, and fast.
- Enable Artificial Intelligence (AI) and machine learning workloads across your environment that deliver on key business objectives.
- Enhance business intelligence through analytics on all source data.
- Transition to cloud services and architectures that prioritize security and governance.
Infographic
Making the Most of Databricks
Databricks brings together data, analytics, and AI onto one platform. Are you maximizing its potential? This infographic provides 10 ways to be successful with Databricks, whether you’re a new or experienced user.
Partnering with the best
Deep domain knowledge and certified skill sets across all major vendors set us apart from the rest.
Results you can measure
Clients working with Insight are solving their biggest data ingestion challenges with Modern Data Warehouse (MDW) expertise from Insight. Insight Lens, our proprietary architecture and set of processes, can help jump-start an MDW initiative.
In one instance, we helped a global electronic manufacturer retailer speed time to value and increase revenue with MDW implementation:
Challenge
Improve sales of related components
Solution
Insight Lens for an MDW and AI recommendation engine and a machine learning model trained on CRM data
Outcome
- 15% improvement in attach rate
- >$150M increase in expected revenue
We start with your pain points.
What challenges are you facing? Lean on Insight’s comprehensive solutions and strategic delivery to overcome specific roadblocks with a more thoughtful approach.
- Slow time to value for data scientists and analysts
- Increasing engineering costs for data pipelines
- Limited visibility and poor data flexibility
- Complex data systems that strain users
Data mesh implementation and modern data analytics platforms
- Difficulties finding and retaining skilled data management and analytics professionals
- Intractable and complex data management environment
- Inefficient data digestion or ingestion
Data lifecycle solutions that encompass analytics, artificial intelligence and business intelligence
- Intense competitive pressures to grow and differentiate
- Underutilized analytics
- Rapid growth that compounds data ecosystem complexity
- Outdated systems that can’t support AI and machine learning
Data estate modernization and integration of AI into existing applications
Stories to inspire
