John Pocknell, Senior Market Strategist, Quest Software
By leveraging data intelligence, companies can enable data-centric executives to reduce risk, drive more value, and accelerate growth
The market is aggressively embracing digital transformation to drive faster, better-informed decisions to help drive corporate strategy and grow business, increase operational efficiency and profitability, and improve safety and customer satisfaction.
According to Gartner, 91 percent of organizations are already involved in some sort of digital initiative, and by 2023, IDC predicts that 52 percent of worldwide GDP will come from products and services delivered by digitally transformed enterprises. Drivers of digital transformation include COVID-19 and work from home, cloud adoption, application modernization and IoT.
Although digital transformation is defined as the transformation of an organization’s digital operations, it extends beyond IT to all of its major functional departments.
Data is at the heart of all digital transformation projects, with companies looking to extract more value from their data and reduce its time-to-value. By deriving intelligence from their data, companies can realize the ultimate goal of data empowerment, where all employees have simplified secure levels of access to the high quality data they need to do their jobs.
Companies need the ability to drive digital transformation in a controlled manner and at Quest, we believe they are looking for three key things:
- Data Operations – Data operations enable organizations to maximize the business value of the data they own and the infrastructure that supports it. Data operations play an essential role in supporting digital transformation projects such as DevOps, cloud migration and application modernization, which provide businesses with short time-to-time value to innovate faster and drive growth and stay ahead of their competitors. enables to.
- Data Security – Data breaches are a boardroom topic. Companies have to pay more attention to not only the security of the data but also the devices from which the data is transmitted and interacts with them. Companies need to ensure the availability of that data while minimizing costs and implementing processes to ensure compliance with data privacy regulations.
- Data Governance – This is the ability to understand the data environment through enterprise architecture and business process modeling, as well as discover data across the enterprise and map it to the business functions they support. It determines how people, processes, data, technologies and applications interact to ensure alignment in achieving key business objectives.
It is only through the implementation of data governance, data operations and data security that companies can establish the necessary data intelligence about their enterprise architecture, its processes, people, and data to enable data-centric executives to reduce risk, achieve greater value. and be able to differentiate itself. their competitors.
Learn more about Quest Here
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