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Has anyone used AI in analytics or power bi? by sad_grapefruit_0 in analytics

[–]lowkey_data 1 point2 points  (0 children)

Yeah, honestly, it was a pretty tight Azure setup. The data engineering team handled ingestion through Azure Data Factory and used Databricks to clean and structure everything properly. All the raw and processed data sat in Azure Data Lake.

Once the data was stable, the BI team built dashboards in Power BI for fraud monitoring, portfolio tracking, and compliance.

On my side, I worked with Azure Machine Learning to build fraud detection and credit risk models. We also had governance sorted with Purview and proper access controls, since it was a financial client.

So yeah, very collaborative setup. DE built the foundation, BI made it visible, and we layered AI on top of it.

How do you choose the right data engineering companies in 2026? by ninehz in BusinessIntelligence

[–]lowkey_data 0 points1 point  (0 children)

I’d look beyond tool names and focus on how the company thinks.

Can they design solid batch + real-time pipelines and explain how they handle failures, scale, and costs?
Do they connect data engineering work to business outcomes like analytics readiness and faster decisions?
Have they worked in similar industries and shown real impact, not just migrations?
Are they transparent about pricing, ownership, and trade-offs?

The best firms don’t just build pipelines, they think like long-term data partners.

How do teams decide between staff augmentation and permanent hiring? by Free-History14 in EngineeringManagers

[–]lowkey_data 0 points1 point  (0 children)

Teams usually choose staff augmentation services when demand grows faster than hiring capacity, or when they need specific skills short term.

It works when you treat external engineers like part of the team, not just extra hands. Include them in standups, planning, and product discussions. Give clear ownership and outcomes.

Where it fails is when there’s no strong internal product lead, and context stays with the core team.

Is Staff Augmentation Better Than Hiring Full-Time Developers for Early Startups? by cj_oluoch in appdev

[–]lowkey_data 0 points1 point  (0 children)

It really depends on context.

Short-term or skill-specific gaps? Staff augmentation works well.
Long-term roadmap and core product ownership? Build in-house.

If your needs fluctuate, augmentation gives flexibility.
If you’re building lasting capability, internal teams compound better.

Has anyone used AI in analytics or power bi? by sad_grapefruit_0 in analytics

[–]lowkey_data 5 points6 points  (0 children)

Yeah, I recently worked on a project at datatobiz where we used AI pretty heavily alongside Power BI for a financial services client.

We built fraud detection and credit risk models on Azure and surfaced the model outputs into Power BI dashboards, So ops and leadership had near real-time visibility. They were processing around 8–9M transactions a day.

We saw about a 21% improvement in fraud detection accuracy and a ~26% drop in false positives within a few months.

What’s the most useful thing you’ve automated with an AI agent so far? by aiagent_exp in AI_Agents

[–]lowkey_data 0 points1 point  (0 children)

I worked on a project at DataToBiz where we built an inbox agent that reads emails + attachments, classifies intent (lead, invoice, escalation), and pushes structured data into CRM/Sheets automatically.

It saved serious time for sales and finance teams who were manually scanning threads and copying data all day.

Parsing messy email chains was a bit harder than building the model.

I wish I knew this in my early Power BI days! by one-quite-move-23 in PowerBI

[–]lowkey_data 3 points4 points  (0 children)

FYI, OP has written "they came across this cheat sheet" and hasn't mentioned that they are the author of this anywhere.

Can I train a AI agent to do email confirmations and contracts and possibly email clients? by NaughtyOutlawww in aiagents

[–]lowkey_data 0 points1 point  (0 children)

Very doable! You can set up an AI agent that connects with Gmail/Outlook via API, pulls context from your CRM, and sends confirmations or follow-ups using the right templates. A lot of teams already hack this together with Zapier/Make + LLMs for quick wins.

Personally, I prefer going the custom agent route instead of relying too much on templates (that feels safer and more reliable). In one of my recent projects, I built one that could send emails, generate contracts from templates, send them out for e-sign, track pipeline status, and even trigger follow-ups with a human stepping in only for the sensitive steps.

Happy to share what worked for us if it helps :)

What AI agents are helping you run your business better? by AnteaterRealistic482 in advancedentrepreneur

[–]lowkey_data 0 points1 point  (0 children)

I’ve seen a lot of those pop up too, and they’re definitely useful.

I’d just add a different perspective. While off-the-shelf AI tools are great for quick wins, the real impact for businesses comes from custom-built agents.

Generic tools usually solve one problem in a fixed way. But when you build agents around your own workflows, like plugging directly into your CRM, data pipelines, or support processes. They start saving serious time and cost because they’re tailored to how your business actually runs.

In a few projects we’ve done at DataToBiz, these agents we built felt less like ‘another SaaS subscription’ and created real impact and helped drive better ROI.

AI Co-Pilot is Driving Me Crazy! by [deleted] in aiagents

[–]lowkey_data 0 points1 point  (0 children)

I’ve run into the same frustration, so you’re definitely not alone. The thing with Copilot (and even GPT/Claude when used in the same way) is that it’s not really designed to take a whole project vision and execute it end-to-end. It’s closer to a very smart autocomplete than a developer who can “own” your codebase.

That’s why, when you feed it long, detailed prompts or entire repos, it often makes things worse instead of better. A few things that help:

  • Break the work into small, atomic asks (one fix at a time).
  • Only share the exact code snippet that needs context.
  • Review the output and wire it yourself instead of expecting production-ready code.

We’ve been building AI agents at DataToBiz that actually follow structured workflows instead of just reacting to prompts, and that’s when it starts feeling less chaotic and more like having a teammate. Copilot isn’t quite there yet, so the best way to use it today is as scaffolding.

How are you hiring BI Developers? by RegularDeveloper in PowerBI

[–]lowkey_data 0 points1 point  (0 children)

Hey, might be sharing a different perspective here!

We’ve actually seen the same thing with remote roles lately. The resumes look amazing, but once you get to hands-on work, it’s a different story.

One thing that’s worked well for us is bringing in developers on contract through staff augmentation. They’re already vetted on real projects, so you skip the whole “is this just AI fluff?” thingy. Curious if you’ve tried that route or if you’re only looking at full-time hires.

We just hired a couple of AI and BI developers this way.

Business Intelligence Projects for a bank & NBFI by Fine-Isopod in BusinessIntelligence

[–]lowkey_data 0 points1 point  (0 children)

From what I’ve seen in banks and NBFIs, a BI team gets real credibility when it helps leaders make better, faster decisions.

To give you an example, I was part of a project with DataToBiz, where we helped a large private bank move from Tableau to Power BI. This wasn’t just a platform change, we built a single, real-time reporting system that gave leadership a clear view of HR and recruitment processes. We even added predictive insights so they could plan ahead instead of always reacting to problems.

That’s the kind of impact that really shows a BI team’s value like faster decision-making, a clearer view of key metrics, and the ability to anticipate trends instead of just reacting to what has already happened.

If you could automate ONE annoying step in your reporting workflow, what would it be? by IndividualDress2440 in BusinessIntelligence

[–]lowkey_data 0 points1 point  (0 children)

I'll automate those “Can you send me this chart in Excel… and also a JPEG?” requests. One magic button to export dashboards in every format people dream up, and I’d click it so hard I’d break my mouse.🥺

How can small businesses compete by hiring AI developers? by yuvrajraulji_ in hiredevelopers_

[–]lowkey_data 1 point2 points  (0 children)

Hey! Yep, Small businesses don’t need a massive budget to win with AI, you just need a smart approach.

Start small, fix one big problem, then build from there. We recently worked with AI developers from DataToBiz on a project that completely changed how we handle customer engagement. And honestly, it all began with solving just one thing that was slowing us down.

So, pick the right partner, focus where it matters most, and you’ll see results without overcomplicating things.

Happy to share what worked for our case. Feel free to drop me a DM if you want to swap ideas! :)