04/19/2022 | News release | Distributed by Public on 04/19/2022 11:01
By now, you've heard the good news: The business world is embracing data-driven decision making and growing their data practices at an unprecedented clip. The pandemic may have forced their hands, but they've seen the value of data and will never go back to making decisions based on hunches.
Here is the so-so news: They're moving so fast that they've amassed more data than they can analyze. Organizations, on average manage, 10 times more data than they did five years ago. They are struggling to use their data in a way that is efficient, compliant, intuitive, and secure.
What if the problem isn't in the volume of data, but rather where it is located-and how hard it is to gather? After all, the average enterprise has 900 applications, but only one-third of them are connected. Nine out of 10 IT leaders report that these disconnects, or data silos, create significant business challenges.* These commonly include cost inefficiencies, data integration errors, missing, or inaccurate data, and culminate in an overall lack of trust in data.
Therein lies the opportunity that businesses have today. If they connect their siloes and harness the power of data they already gather, they can empower everyone to make data-driven business decisions now and in the future. The way to get there is by implementing an emerging data management design called data fabric.
A data fabric is an emerging data management design that allows companies to seamlessly access, integrate, model, analyze, and provision data. Instead of centralizing data stores, data fabrics establish a federated environment and use artificial intelligence and metadata automation to intelligently secure data management.
As leaders continue to refine strategies to elevate productivity and mature analytics, the data fabric is a single architecture that can address the levels of diversity, distribution, scale, and complexity in an organization's data assets.
At Tableau, we believe that the best decisions are made when everyone is empowered to put data at the center of every conversation. We've infused our values into our platform, which supports data fabric designs with a data management layer right inside our platform, helping you break down silos and streamline support for the entire data and analytics life cycle.
Tableau helps strike the necessary balance to access, improve data quality, and prepare and model data for analytics use cases, while writing-back data to data management sources. Let's take a quick look at each of those capabilities.
Analytics data catalog. Review quality and structural information on data and data sources to better monitor and curate for use
Business leaders have long recognized the importance of data analytics to the future of their organizations. International Data Corporation, a global market intelligence firm, reports that 83% CEOs want their organizations to be more data-driven and are investing in growing their Data Cultures. Those who are leading with data are now 23 times more likely to add customers and 1.5 times more likely to grow revenue by 10%.
As organizations begin their data fabric journey, it's critical they remain focused on where value is being generated for the business. If this is analytics for you, as it is for most, stay your course. Data fabric implementation will take several years, so it is important to set near-term goals to be able to showcase value and keep stakeholders engaged.
With Tableau as part of your data fabric design, you can overcome some classic problems that pop up during the last mile of data initiatives. For example:
Learn more about data fabric design, and explore Forrester's take on the data fabric market by reading "Now Tech: Data Fabric Vendors Q1 '22."