Blog: When Work Moves - 2025

Where Will Natural Language Query in the Data Analytics Space Be 1 Year from Now?

Q Team — Tue, 07 Apr 2026 18:05:57 GMT

It is difficult to predict, especially the future. However, predicting where NLQ will be in a year from now is relatively easy. We may not get it exactly right, but we can certainly predict that the trajectory is pointing higher. An increasing amount of investment dollars are flowing into natural language processing and automated data analysis. The use of NLQ in visualizing data and for more complex data analysis tasks is not too far-fetched. It is also well suited for more sophisticated tasks like anomaly detection and recommendation systems. Overall, NLQ will become ubiquitous in the data analysis domain.

Why teams don't trust the data - and what to do about it

Q Team — Fri, 03 Apr 2026 12:45:00 GMT

Why your team does not trust the data and what to do about it

Most teams do not have a data problem.
They have a trust problem.

Why Insight Still Doesn’t Lead to Action

Brian.lambert@quaeris.ai (Brian Lambert, PhD) — Thu, 02 Apr 2026 14:32:20 GMT

Most teams do not struggle with data.

Why Alignment Accelerates Speed More Than Authority

Q Team — Mon, 30 Mar 2026 19:45:04 GMT

Speed is the goal in every modern organization. Faster decisions. Faster execution. Faster response to change.

Your Analytics Team Is Not Slow. Your System Is Fragmented.

Brian.lambert@quaeris.ai (Brian Lambert, PhD) — Wed, 25 Mar 2026 13:35:16 GMT

Most analytics teams are not underperforming.

Why Data Value Is Realized at the Moment of Decision

Q Team — Sun, 22 Mar 2026 15:30:00 GMT

Most leaders agree data matters.

How Decision Velocity Becomes a Competitive Advantage

seek@quaeris.com (Rishi Bhatnagar) — Fri, 20 Mar 2026 00:45:00 GMT

Most strategies fail slowly.

The Hidden Cost of Translating Business Questions into Queries

Brian.lambert@quaeris.ai (Brian Lambert, PhD) — Thu, 19 Mar 2026 17:33:23 GMT

Every business runs on questions.

Stop moving data start moving decisions

Q Team — Thu, 19 Mar 2026 10:00:01 GMT

Most AI projects do not fail because the models are weak.

Identifying Hidden Profit Leakage in Retail Deductions

Cynthia.Bonner@quaeris.ai (Cynthia Bonner) — Wed, 18 Mar 2026 15:30:00 GMT

Retail deductions and chargebacks represent one of the most persistent sources of profit leakage for CPG manufacturers. When retailers issue deductions—whether due to compliance issues, shortages, or shipping discrepancies—they simply reduce the payment on the invoice, leaving the supplier to determine why revenue disappeared.