So you’ve decided to launch a data mapping project. You’ve got budget and buy-in from company leaders and are ready to get a handle on personal data across the business. But now you’re stuck at the starting line.
Do you need software? And if so, how on earth will you pick the right one?
In today’s noisy privacy software market, making the right choice for your org can feel overwhelming. It doesn’t have to be difficult. At Ketch, we’ve seen many brands struggle with this decision. Some end up selecting Ketch for data mapping, some don’t–and that’s ok! What’s important is selecting the best tool for YOU and your business requirements.Â
Let's start with the basics:
Data mapping software helps visualize and manage data flow within an organization. It links data from different sources, ensuring consistency and accuracy. This is crucial for data integration, migration, and compliance, making it easier to track, analyze, and utilize data effectively.
Now that we've covered the basics, keep reading for an essential guide to these questions:
From understanding the scope of your project to getting your expectations straight, read this to feel completely prepared to navigate the data mapping landscape.Â
Depending on the size of your project or company, it might be possible to keep up with manual data mapping, via spreadsheets or otherwise. However, chances are a data mapping tool will be a big relief. Here are a four key turning points that should trigger the start of a software search:
If you’ve tried and failed at data mapping in the past, it might be time to take your infrastructure up a notch by engaging data mapping software. While manual data mapping can work for extremely small and simple companies, if you’re a larger or evolving company — your manual data mapping will probably continue to fail.
Data mapping requires constant upkeep. Because your data is always growing and changing, if you don’t have an automated solution, it’s easy for your output to become outdated. Manual data map updating is a massive time drain, so investing in a tool is a smart allocation of resources.
If data mapping is a priority to your business, you’re going to have a larger team dedicated to making it happen. However, a larger team also proves that data mapping is worth resource investment. The smartest way to take advantage of your resources is to engage software to carry some of the load for you and your team.
If you’re looking at your data and feeling confused or hoping to get a better answer to some of your data-related questions, grabbing a data mapping software is a great start to gaining clarity.Â
The first step to finding the right tool isn’t to start scheduling calls with every data mapping software on the market. Instead, you’ll need to answer a few questions internally about your company’s data mapping needs and wants.
While every company wants a magic bullet solution that offers total breadth and depth, the reality is that you’re going to have some trade-offs. Sit down with your team and identify the core issues you want to solve.Â
Do you want a broader-reaching data map that lacks some detail, or would you prefer a deep dive into a few of your databases? Knowing your breadth versus depth priorities will help lead your software decision-making.
Where your data lives will dictate what software pairs well with your data organization. Does your data live in SaaS applications, or is it all in a simple database? How many different applications are you using? You’ll want to be clear about your data storage before heading into software conversations.
Again, while it’s every company’s dream to find an all-encompassing software that checks every box, it’s just not the reality of the data mapping landscape. Certain software addresses some concerns better than others, so clarity on your primary challenge is important. Here are a few potential priorities your company may have:
Clarifying your priorities is going to help drive decisive software conclusions. By identifying what you’d really like your tool to do, you and your team can move through the weeds quickly to identify the right tool for your company.Â
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Before you start exploring the software market, it’s important to understand the reality of data mapping tools. Especially if data and data mapping are outside your area of expertise, understanding software abilities and limitations is a valuable way to appropriately align your expectations. While innovation is always happening, here’s a quick overview of the state of data mapping tools in 2024.
Data mapping software can do the following:
An important note on the last bullet: unstructured data discovery. While some data mapping software is capable of conducting unstructured data discovery, it can be cost-prohibitive depending on your expectations for scope. If you have expectations of reading every line of text in every PDF document, be prepared to pay a very high cost. It’s worth considering if taking a sample from various locations will satisfy your need to evaluate the risk.Â
Read more: How to do data mapping
‍Because your data ecosystem likely exists in multiple spaces, it’s nearly impossible for software to build an automated data flow map. This is often a buyer's expectation, and it’s important that you understand the difficulty of this task and the likelihood that your tool will not be able to do it. If a vendor tells you this is possible, you need to dig into the details. In nearly all cases, it’s simply not a realistic expectation in the face of modern business data locations and complexity.Â
No matter how smart the tool is, it won’t know your exact company’s comprehensive business context. Human participation in your data mapping remains a must, even after software implementation.
As is the case with business context limitations, your data map tool cannot automatically fill out assessments. Answers are subjective, so it’s unrealistic to expect a machine to be able to produce automated responses.
Loads of tools promise risk assessments, and many can be beneficial. However, we’re generally skeptical of a simple risk score that promises to capture all the complexities of your data map.
Now that you have a good idea of your company’s priorities and a strong handle on realistic expectations for technology capabilities, it’s time to head into conversations with data mapping software vendors. As you start lining up demo calls and enrolling stakeholders, it’s easy to get caught up in shiny objects and interesting features. But remember! Shiny objects don’t matter if they don’t come back to your specific challenges.Â
Throughout your evaluation, keep one guiding question at the forefront of your mind: What is the problem we’re trying to solve?Â
Here are a few other considerations as you dive into the weeds of privacy data mapping tool evaluation:
Navigating the data mapping market and the best data mapping tools can be intimidating. As you examine your company’s data mapping needs, consider including Ketch data mapping in your tool evaluation. If your must-have list includes automated system discovery, enabling ROPA completion, and integration with consent management tools, Ketch could be a great choice.
‍Schedule a demo with us to learn more.Â