What trends will shape the world of data quality in 2023? While we don’t have a crystal ball, we do partner with customers from around the world, listening to their concerns and working together to overcome their data quality issues. Based on what we are working with our clients to achieve, here is our list of trends that could affect anyone working with data in the year to come.
Increased Data Volumes
With the steady rise of internet-connected devices, IoT, and self-service options, the amount of data collected each day will continue to increase. Worldwide, we currently capture an amount of data that was unimaginable just a few years ago, with digital transformation initiatives, artificial intelligence and machine learning pushing those volumes ever higher.
Data Quality as a Service
“As a service” business models allow organizations to leverage the knowledge and experience of outside service providers. Companies will continue to shift some or all of their data quality programs to trusted partners to reduce the burden of staffing, training, and implementation.
Data as a Service
In addition to internal data collection efforts, organizations will increasingly access data in the cloud from outside providers in data as a service (DaaS) models. This approach saves time and resources and provides access to larger data pools and even access to real-time data streams.
Storage as a Service
The volume of data that must be stored will also see a rise in storage as a service (StaaS) providers offering flexible storage options that can be adjusted to meet an organization’s changing needs.
Data Democratization
Traditionally, data was accessed by a small number of people within an organization, analysts and engineers who could “crunch the numbers” and provide feedback to leadership. Data democratization seeks to empower anyone within an organization with the ability to access data and gain insights in support of their individual role.
Data Governance
Data governance is everything you do to ensure data is secure, private, accurate, available, and usable. It includes the actions people must take, the processes they must follow, and the technology that supports them throughout the data life cycle.
Data Security
A component of data governance, data security is the processing of ensuring that only authorized users can access data, and only the data they are authorized to access. Increased security by means of secure authentication and more direct authentication methods such as single sign on will continue to grow. Security will continue to be a focus as remote work and virtual offices persist and even flourish.
Business Intelligence
Another development that will drive data democratization is the introduction of business intelligence tools that simplify the process of analyzing data and drawing conclusions from it. Technologies such as natural language processing, artificial intelligence, machine learning and semantic data layers will come together to make powerful data analysis accessible to all.
Data Migration
With the trend of mergers and acquisitions showing no signs of slowing, companies will need a reliable way to consolidate data from disparate systems to provide a single source of truth. Technology companies with deep migration experience – from assessing the state of the data to preparing, mapping, and converting it from the source format to the required destination format – will play a vital role in ensuring that merged data can deliver meaningful value.
Regardless of what the year ahead has in store for you, one thing that is abundantly clear is the importance of having a data quality partner in your corner. With the challenges and critical importance of maintaining good data quality, you don’t want to go it alone with nothing more than a software license and good intentions. Talk to Innovative Systems about your goals for 2023 and let our experts provide the guidance you need to get there.