Filter By Topic
Filter By Industry

No One’s Data is Ready for AI – Yet

We explain that while you may think your data is ready for AI use, there are AI readiness risks you want to make sure you address first.

Implementing a Data Platform and Data Governance for an Insurer

We helped a P&C insurer design a cloud-based data platform using AWS. The client’s CIO engaged us to develop a Data Strategy and Roadmap.

Monitoring in Microsoft Fabric

In this blog, we discuss all the capabilities and benefits Microsoft provides to monitor Microsoft Fabric.

Microsoft Fabric: Who Should Care About It and Why?

Whether you’re a CTO or Data Engineer, you should pay close attention to Microsoft Fabric to weigh how it can benefit your organization.

How to Avoid Breaching Data Privacy Regulations with Data Minimization

Data minimization is the data diet your company needs to reduce sensitive data and help you achieve compliance with data privacy regulations.

Creating a Cloud-Based Platform to Help Drive Better Business Decisions

We implemented a cloud-based data platform for a property and casualty insurer that provided monthly profitability updates.

Organizational Change Management: The Secret to Data Governance Success

We explain how to achieve data goverenance success with organizational change management to drive related mindsets and behaviors.

Why Telemetry Is the Big Data Catalyst Your Business Needs to Thrive

The ability to collect, analyze and derive meaning from data can drive sustainable growth within your organization. Telemetry can help.

Important Snowflake Updates: A Look at Dynamic Tables and More

In our blog, we delve the latest Snowflake updates, including new tables, and we explain how they can simplify daily data management.

Meet Your Problem Solvers in Cincinnati

Meet your problem solvers from Cincinnati who work to deliver an unmatched experience while providing solutions to your business challenges.

AI in the Data World: Key Takeaways from Centric Chicago’s D&A Community Event

Our recent community for interest for leaders in the data space discussed the AI and ChatGPT movement. Here are some key takeaways.

How – and How Often – You Should Get Rid of Bad Data

In this blog, we share a systematic plan for identifying data errors and inconsistencies to protect the integrity of your data.