Data is everywhere; I’m sure you’ve heard it all before. It’s ubiquitous in modern business. There’s rarely a team or employee that doesn’t use some form of data in their daily tasks. So why then are companies so bad at using it to its full potential?
We’ve been working with data for a long time. It’s painful to think of the vast amounts of underutilized data that should have been repurposed, shared, and put in the hands of the best person when they needed it most.
We believed that there had to be a better way. There should be a smarter option, one that enables data management at the point of collection. It was time to leave behind the messy dark days of data management and onto a more productive way of operating.
We kept coming back to one simple fact: businesses understand the need for a CRM to manage every aspect of your sales process. So why isn’t there a tool that could do the same for data?
Let’s take it back to the start (of the data journey)
It turns out it wasn’t just us who had these problems. When we looked a little closer, we noticed that many companies were having issues in some similar areas. We decided to ask for the top concerns that companies have with data, and here’s what they said:
- We spend a lot of time maintaining multiple data sources, which adds external development cost without adding too much value.
- Often we have multiple sources of the same data, which adds complexity when using data.
- Not having access to data because of a lack of extraction tools.
- Not having a mechanism to allow co-workers to get access to data in a single and consistent way.
- We lack a clear overview of data ingestion to monitor business performance.
Many of these companies understood the difficulties they were having, but a lack of foresight in the collection and planning stages led to headaches further down the line. This fact led us closer to the source of the problem:
Companies are doing governance too late, and some aren’t even doing it at all. Missing this (often one chance) for governance is costing companies endless resources at a later stage.
Why we built an all in one governance tool
We realized that data requires the right tools at the beginning of the integration process. Starting governance at the start of the data lifecycle opens up incredible opportunities further down the line.
Companies can be more productive with data, improve compliance, and eliminate headaches when it comes to unifying data across an organization.
So we decided to try to build the CRM for data. And we came up with Wult.
Wult understands governance from the very start of the data journey. Governance is often an afterthought, but using Wult makes governance ubiquitous and straightforward by design.
What do you do when there’s a new data source added to your business? Who is vetting the source, who decides where this data goes and how it’s eventually used? Is there an auditable trail of these processes?
Wult makes new data exciting rather than daunting by establishing rules when data is collected. This isn’t just about excellent plumbing. It requires focus on the rules that govern a company’s data and establishing these at the start of the process.
This way of thinking alleviates headaches further along the line. No more scrambling for proof of compliance once it’s too late. No more messy datasets that are rendered unusable. No more duplicates and a lack of overview. Wult makes it simple to unify data and distribute it to the right teams.
Towards holistic data management
As we focused on universal governance, we also began to notice some hidden benefits emerge. Channeling our data through a governance tool provides a holistic view of data and its use within an organization.
Data is more powerful when combined with other data, access is simple, and schema matching means that there are less formatting issues for companies to face.
All of these processes are dealt with in the collection process, providing a streamlined and efficient way of working with data.
We think that Wult is going to change the way that teams use data within an organization. It will save countless resources and ensure that teams are on the same page from the beginning of the data process.
Transform your outdated data strategy today and make data usage inspiring instead of painful.