I'm an implementing consulting partner for BigID. Initially, the clients used the solution for compliance with GDPR and CCPA. However, more recently, the software has evolved significantly to be useful for data governance and areas such as security posture and related aspects.
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Commendable and robust data-centric tool
What is our primary use case?
What is most valuable?
One of the most valuable things in a data-focused world is a tool, a technology that's data-centric, not trying to master data management or whatever else.
It's a source of truth for what data an organization holds, giving it the ability to catalog, categorize, and understand its data in a way that other technologies like Alation, Collibra, or Informatica didn't afford. So, that's probably the biggest value in the data center.
What needs improvement?
BigID is making some forays into the GRC space, and that's a natural progression. I'd like to see that improve so that data governance is better, data risk is identified, and the ability to control and mitigate it. So, that's where I see the opportunity for advancement.
For how long have I used the solution?
I have been using this solution for five and a half years.
What do I think about the stability of the solution?
BigID is stable. I've positioned it as the market leader in privacy data technologies for some time. In comparison to other technologies I've used, it's far superior.
What do I think about the scalability of the solution?
The product is scalable. For one of my customers, there are not more than half a dozen. It's not a broad adoption tool. It's more like a utility. So, fewer users but many beneficiaries.
How was the initial setup?
The initial setup is complex. There's a nuance to it, and that's one of the things that's been interesting as the technologies evolve. It's not complex in and of itself. You can install it quickly and attach data quickly.
The complexity arises because most organizations I've worked with are thinking about their data for the first time. So, while installing the software and operationalizing it is easy, the onboarding and understanding of the data, design, legacy systems, and everything from Oracle to side-based to MS Access, that's where it gets tricky. They need to catalog, correlate, combine, rationalize, and really think through it all.
So, the software itself is easy to implement and operate. But the operational side, from the client's perspective, requires a commitment. It's like buying a circular saw and expecting to build a house. The tool will take you some of the way, but if you don't have the underlying knowledge, you're going to struggle.
What about the implementation team?
The deployment model is a client-driven decision. I've been the implementation consulting partner. Ultimately, the client makes the decision on the deployment model. When BigID first came out, it was originally only available on-premises. Later, clients could choose to deploy it on the cloud, whether on AWS, Azure, or another platform.
BigID does maintenance releases periodically, requiring updates. Major releases are probably monthly to quarterly. Maybe four times a year now, or two, they just changed the cycle. Then, there are minor releases occasionally. These need to be done, but underlying maintenance isn't bad. It is like applying periodic updates to any other software package.
What's my experience with pricing, setup cost, and licensing?
It is an expensive product. There are different price points for different BigID functions and features now. So, it depends on your specific needs.
In the time I've been working with BigID (over half a decade now), it's gone from a monolithic software package to something with more modular parts. Now, the customer or client can buy only the required pieces, making it not terribly expensive.
So, the pricing depends. If you have thousands of data sources to connect and manage, and you struggled with an MDM package in the past, you'll find BigID valuable and even cheap. But if you're a small business, it's probably not the right tool for you.
So, it depends on your goals, past experiences, business problems, and organizational direction. If you're in healthcare, technology, or manufacturing with tons of data sources to control, understand, and manage (data disposition, cataloging, reporting, GDPR/California compliance, etc.), and you have the right discipline and understanding of what you're trying to do, you'll find it inexpensive.
But without management commitment to using the tool effectively, it's like buying an expensive Oracle or SAP system and not getting the desired results.
What other advice do I have?
My first question is: what are you trying to achieve? What business problem are you trying to solve? It's like asking if you should buy a calculator or Excel for basic math. A cheap calculator even does simple calculations! So, what's your goal?
If your answer is data inventory and starting your data governance journey, then BigID is absolutely worth exploring.
Overall, I would rate the solution a solid nine out of ten. Compared to the market, it's a ten. There are a few things I'd like it to do better, but they're working on it. So, nine now, with room to grow on.
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