One-Stop Knowledge Hub for Data Analytics Tools
Straight Answers, Fewer
Buzzwords, No Vendor Spin
Allston Yale's knowledge base is where we write down the answers we give clients most often, minus the sales spin. It is organized into two shelves: how to actually use your data, and how the platforms and tools compare when you are deciding what to buy.
How the Knowledge Base Is Organized
Data Analytics
Data Analytics
The how-to shelf. Implementation best practices, roadmaps, and cost, plus industry-specific dashboard guides for the sectors we serve. Start in Data Analytics when you know what you want to build and need to do it well.
Platform Comparisons
Platform Comparisons
The which-one shelf. Microsoft Fabric versus Power BI, migration guides from legacy BI tools, and honest tool-by-tool breakdowns. Start in Platform Comparisons when you are still deciding what to buy or move to.
Power BI vs Sigma Warehouse-Native Queries vs an Imported Data Model
Power BI vs MicroStrategy Enterprise Weight or Self-Service Speed
Power BI vs Cognos What Happens to Your Scheduled Reports
Power BI vs Qlik Two Data Models, Two Different Jobs
Power BI vs Google Looker A Governed Semantic Layer vs Accessible BI
Microsoft Fabric vs Coalesce Built-in Transformation vs a Specialized Tool
01
Why We Keep a Knowledge Base
Most of our Power BI and Microsoft Fabric guides and resources started as an email to a client who asked a good question. Writing them down once means the next person gets a straight answer without booking a call, and we get to skip repeating ourselves. Everyone wins.
02
Written for Decision-Makers
These are not tutorials for hobbyists. The Power BI and Microsoft Fabric guides and resources here are aimed at the person choosing a platform, approving a budget, or trying to trust a number, so they favor plain trade-offs over feature lists and screenshots.
03
No Vendor Spin
We sell Power BI and Fabric work, so treat that as disclosed. Even so, the guides tell you when Power BI alone is enough, when a tool you already own will do, and when the honest answer is that you do not need us yet. Trust is worth more than a lead.
04
How to Use It
Browse by the two categories above, or start with the question in front of you. If you are choosing between platforms, read the comparisons first; if the decision is made and you need to build, the analytics guides will save you a few wrong turns.
05
Start With the Comparison Everyone Asks
If you only read one thing, make it our Microsoft Fabric vs Power BI guide. It is the question behind most others, and it frames nearly everything else in these Power BI and Microsoft Fabric guides and resources. From there, follow the links into whatever fits your situation.
Common Questions
Is this stuff free to read?
Yes, all of it. The knowledge base is open, with no email wall and no gated PDF. If an article answers your question and you never contact us, that is a perfectly good outcome as far as we are concerned.
How often do you add to it?
Regularly, as new questions come up and the platforms change. Microsoft ships updates constantly, so comparison and implementation guides get revisited rather than left to quietly go stale.
Can you just answer my specific question?
Often faster than an article can. If your situation is particular, the guides will get you part way and a short conversation will finish the job. There is a booking link at the bottom of most pages for exactly that.
When an Article
Is Not Enough
Guides cover the common cases; yours may not be common. When you want an answer tuned to your data and your team, book a short call and we will pick up where the reading leaves off.
