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Here’s What You Can Achieve with Data Democratization

 

Data democratization is one of the key trends in 2020. As we know, the amount of data is growing exponentially – and so is the number of data silos per organization. But more people inside of an organization want to be data-driven in their decision making. As a result, companies of all sizes will need to make this siloed data available across the business so users can more quickly get to valuable insight through data. In fact, it’s not really optional – businesses need to democratize this data to stay competitive.  

Citizen Data Professionals need access to data

Data has historically been the preserve of the IT department, data integration specialists, and, more recently,  machine learning specialists. But now, Citizen Data Professionals are becoming a primary consumer of data. These business users may not be computer scientists or programmers. But they do have an understanding of data and data structures. They may know languages like SQL. And they want to own and access the data for faster access to insight. These Citizen Data Professionals are data literate, but they will need easy-to-use tools that will guide them through the process of extracting, loading, and transforming data.

 

Ensuring that data is centralized and accessible in your business is a great first step in becoming a data-driven enterprise. Once you make data available for your employees, it opens up a whole new avenue of opportunities for your business. Here are just a few things your business can achieve with greater data democratization.  

 

Apply advanced analytics technology

By providing access to more data, businesses can approach new analytics initiatives with accurate data from multiple sources. Using data ingestion tools to load and centralize data, you can perform big data discovery, self-service data preparation, behavioral analytics, graph analytics, or web analytics, based on the needs of the business. With more people in the business using data to perform analytics, there is a greater need for advanced use cases like augmented analytics for data preparation, data discovery, and data science. Now business users can find correlations, exceptions, clusters, links, and predictions without the help of IT.  

Streamline and improve existing processes

Many companies have operational and business processes that can be improved…someday. But with more insights consolidated from different datasets, “someday” is fast approaching. It’s going to be harder to make do with processes that are “fine for now.” Once access to new datasets is shared throughout the business, data-inclined business professionals can use this new information to test and challenge the old way of business. This can help to create more efficient day-to-day business operations, use customer data to create new policy or pricing, or balance prioritization of projects for business needs and ROI. 

Exceptional customer experiences 

Customer experience has been a topic of conversation in the last two years as businesses embrace digital transformation and personalization in their efforts to get ROI on their marketing initiatives. Empowering business users with more data on the customer experience can bring new perspectives into the fold and allow for opportunities for improvement to surface. Sentiment analysis, keywords, or user behavior can all surface signs of customer dissatisfaction. If those insights are centralized and accessible to marketing, customer success, and finance, companies can easily detect early warning signs that could impact revenue. They can also determine new ways to delight customers and create new products based on customer insights.

Facilitate data centralization with the right tools

To make data available to business users and expand use cases, there are a few criteria to consider when selecting the solutions that are best for your business. 

 

  • Stay modern by working with cloud-native technology to move faster and use software with a simple GUI and drag and drop features for better onboarding 
  • Get buy-in from both IT and the business user so you ensure that the tool you select can support the business logic you have in place.
  • Don’t forget to check the security requirements of each tool to understand what protocols your business and the vendor will have in place. 
  • Find a platform that supports the adoption and growth of skill sets and new users so you can go from small use cases to complex data transformation and orchestration when you are ready. 

 

In 2020,  more people will use data to answer questions for better-informed decision making and less guesswork. That’s ultimately going to benefit the business and fuel growth. That is why we created Matillion Data Loader and Matillion ETL – to help our customers with the data needs they have currently and to grow with them as their needs continue to change. 

We offer Matillion Data Loader for free, with pre-built connectors to help users get started on small projects and simple use cases that can make a big impact on their business.