Building a thriving business is an incredible, exhausting experience. You need funds, yes, but more importantly, you need the right vision and approach. If your house isn’t in order when you expand, you might end up running it off the cliff as everything from your operations to even your marketing flounders is without direction. In this article, we discuss master data management, and how important it is for your company.
Your company needs to be a sharp sword, honed, and at the ready, in order to break into international fame. The best way to do just that is to get your data sorted.
The Problem with Data Management
Data, on its own, is great. It can help you solve so many different things in your business, and help pull out trends, inefficiencies, and potential, all with the right AI or analytical tool. The issue with data isn’t in the data itself, but in how it’s organized.
If your information is poorly managed, saved in multiple locations, and split up in different files, then you run the risk of:
- Working with incomplete datasets
- Cyberattacks or insider crime
- AI, ML, and analytical tools are not working as well as they should
- And more
If all of your information is organized, properly sorted, coded, and tagged, then you can do so much more. You can improve your supply chain, offer personalization to customers, streamline workflows in your business, and, most importantly, you can better protect all that information from criminal activity.
How to Manage Enterprise-Levels of Data
Small businesses can clean up their data and sort it, lock access control, and prep it all easily, because there is simply far less data to work with. Simple tools like QuickBooks may be enough for them.
However, the larger your business gets, the more you will outgrow those systems. That’s when master data management comes into play.
What is Master Data?
Master data means you have compiled all sources of data into one file. If you have a John Doe customer, and have information about him in multiple locations and departments, then you aren’t able to effectively understand his buying habits, offer personalization, or segment him for marketing purposes properly.
You can compile all your information about John Doe into a single John Doe profile. That single source of truth is known as master data.
Master data can be anything. It can be product information, financial information, marketing assets, and more.
How to Manage Your Master Data
Creating master data out of your unsorted or disorganized data takes time and a clear-eyed approach. Once done, you boost the consistency of your information and accuracy, and speed up how fast it takes to access the information you need considerably.
To do that, you need to:
- Standardize Definitions, Metadata, and Tagging
The first step is to create a framework, specifically, a master data governance framework. This will set out how data is to be formatted and entered, who is responsible for the data, the metadata standards, and which master data management solutions you intend to use. This overarching plan will direct your efforts to unify all your data sources.
- Unify Your Data From All Systems
Once you have the plan in place, it’s time to start unifying your data. Start first by identifying the most important datasets. These will be the ones that are essential to operations. Unifying, consolidating, and relocating a lot of data takes time, so create a priority list.
- Clean Up Data Sets
While you are importing the data, it’s important to assess its quality, find inconsistencies and errors, and to remove those so you have one single source of truth.
- Secure Data Sets
You will want to start working on improving the security of your data as soon as you being unifying it. Easy ways to do this include using access control and encryption (both when the data is in transit and at rest), firewalls, and endpoint security.
- Implement Processes to Maintain Data Quality
It’s rare that you will put together the perfect master data warehouse straight away. That’s why monitoring your efforts and making regular improvements is important.
Benefits of Adopting Master Data Management
Once you have adopted and implemented a master data management approach, you can start enjoying these key benefits:
Highly Accurate and Consistent Data
With only one single file containing all you need to know about a specific person or product, you can start working faster, and more accurately. There will no longer be any conflicting information slowing you down. Run all that data through your analytical programs, and you’ll get more insightful information than ever before.
Improved Your Decision-Making
When you get more accurate and insightful analytical reports from your systems, you can then start making better decisions for your company as a whole. You can take all of the collected IoT data from your warehouses and use it to find areas of improvement. Since all the data is in one file, your efforts at increasing productivity in your workplace floor are more direct, allowing you to slightly tweak your system in ways that add up.
Enhanced the Customer Experience
Personalization (within limits) can be a great way to offer every customer the comfort of a VIP, with minimal effort on your part. By unifying all the customer data you have (sales, searches on your website, email preferences, etc) can make it easy for you to then offer simple levels of personalization online that you couldn’t before, because your system just didn’t acknowledge that one customer was the same as another file with the same name.
Risk Mitigation
Cybercrime is more prevalent than ever, and the cost it is incurring on companies around the world has reached record heights. There is a reason why one of the biggest ongoing spending you will need to make is into cyber security. The good news is that, by organizing your data, it’s easy to secure, lowering risk on multiple fronts.
Scalability with Data Management
Once your data is properly organized, it can be easily expanded (as long as you use data governance to create standardization policies). Since you have a solid foundation and the means to properly add to your dataset, you can then confidently grow internationally.
