Dependable data, clearly explained.

Data engineering & analytics

Flores DataCore, front page

Section B2 About

Founded in 2025 Kentucky

A data consultancy that writes things down.

Flores DataCore Innovations LLC was founded in Kentucky in 2025 to do one thing well: build data systems that people can trust, and explain them so plainly that your own team can run them.

City skyline in silhouette across the water at dusk
Fig. 1Dusk, when the day's numbers are supposed to be ready.

Most organizations do not need more data. They need the data they have to be dependable: arriving on time, checked where it changes, owned by someone, and described in words a new hire can follow.

We started Flores DataCore because so much data work is built to impress rather than to last. Pipelines get built quickly and documented never. Dashboards multiply. When the person who built them leaves, the knowledge goes with them.

We work the other way around. We start by tracing the numbers that matter most back to their sources. We build in small increments that people use right away. And we write everything down: what each table means, who owns it, what can break it, and how to fix it.

We are independent. We do not resell software and we do not take referral fees, so our recommendations answer to you alone. Often the right answer is a smaller setup than the one you were sold.

And we measure success by how little you need us at the end. A good engagement leaves your team able to run, change, and explain the system on its own.

B2.1What we believe

Five beliefs that shape every engagement.

  1. 1

    Trust is the product.

    A dashboard nobody believes is worse than no dashboard. Tests, ownership, and lineage come before new charts.

  2. 2

    Clear beats clever.

    We favor boring, readable SQL and plain-language documentation over tricks only their author understands.

  3. 3

    The smallest setup that works.

    Fewer tools mean fewer bills, fewer failures, and fewer things to learn. We add a tool only when a job demands it.

  4. 4

    Your systems, your keys.

    Everything we build lives in your accounts and your repository from the first day.

  5. 5

    Explain the work.

    If we cannot explain a number to the person who relies on it, we are not finished.

Drawers of wooden letterpress type in a print shop
Fig. 2Wooden type in a print shop. Every letter in its drawer, every drawer labeled.

B2.2Why a newspaper

Good data work reads like good reporting.

This site is set like a newspaper on purpose. Reporters check facts, cite sources, and write for readers who are busy. Data work deserves the same habits: numbers with sources, definitions in the margin, and figures with captions that say what they show.

B2.3Plainly stated

What we will not do.

  • Resell software licenses or accept referral fees.
  • Build in our own accounts and hand you a black box.
  • Recommend a platform without writing down the trade-offs.
  • Ship a dashboard on numbers that have not been tested.
  • Make your team depend on us to keep things running.
People taking notes around a long wooden table
Fig. 3Most of the work is listening and writing things down.

Tell us what the numbers need to do.

We reply by email.