The holy grail for many companies is delivering a great customer experience. Customers that receive a great experience are more likely to be repeat customers. In a subscription economy (which we’re now in), they’re more likely to keep subscribing. So how are companies scrambling to build and improve that experience? They have realized that they need to become data-driven. Why not analyze the customer purchase and usage data to help steer the company’s direction? Today’s business executives want answers and insights today, and they can get that from data. So they grab all the data they can and start building spreadsheets.
The problem is, the spreadsheets start getting larger and larger, and pretty soon, they can’t make sense of it. In comes Tableau to the rescue, with visual analytics software that makes it easier to quickly dissect and analyze the data. Now these executives should have all the data-driven insights they need so they can implement new courses of attack, right?
Build a data management strategy for Tableau
Data analytics solutions are all well and good. However, we have also now entered an age where corporate data is doubling every twelve to eighteen months. IoT has helped spur the creation of data, along with the move to the cloud by many companies. We have also seen the number of users steadily increase who want to access the data. The result is that there is an explosion of data being created with a growing user population. This creates a host of new challenges for the company. First, the growing available datasets make it very difficult for users to find relevant, trusted data that will give them the proper insights they are looking for.
Once they find the data, how do they get access to the data and make it available for the analysis they want to do? What about privileged data like financial data? This data can be instrumental in driving great customer experience, but given the sensitive nature of financial data, there may be some compliance and data governance that must be set in place to ensure only the right people can access that data.
Enter Tableau Blueprint. This is a methodology that Tableau has been promoting to help its customers better instill and adopt a data-driven culture. Core to Tableau Blueprint is the idea that data needs to be trusted and governed. Many of us are aware of the adage, “bad data in, equals bad data out.” That makes perfect sense, since how could you trust the data-driven insights from your Tableau dashboard if it is based on bad data?
7 building blocks for trusted data for Tableau
As a leader in data management, Informatica has been excited to be a long-time partner of Tableau’s. With respect to the mission of Tableau Blueprint, Informatica has been uniquely aligned to help Tableau’s customers implement and adopt many facets of Tableau Blueprint. Informatica can help Tableau customers get the building blocks they need to drive great customer experience.
Informatica helps in these areas:
- Discover – Can you find the data you are looking for?
- Cleanse – Can you rely on the data you are visualizing?
- Secure – Is your high-risk data protected?
- Master – Can you make sense of overlapping and conflicting data?
- Govern – Can you keep track of your data?
- Democratize – Can you make it easy for the right users to get trusted, governed data?
- Populate – Can you get the data into Tableau?
For companies that are looking to improve their customer experience by leveraging insights from the data they already have, Informatica can help to maximize that journey.
To learn more, check out our virtual fireside chat with Brian Matsubara, RVP, Global Technology Alliances, of Tableau.