Article by Byron Yeung, Vice President of APAC for Qlik Data Integration.
One of the most important challenges organizations face when it comes to data strategy is the inability to actually bring insights from data to the business unit. Many organizations “dump” data into a data lake, making it accessible to different business units. However, this “build and they come” model is rarely effective.
The goal of DataOps is to coordinate two aspects of the data delivery equation. That is, data administrator requirements for control, transparency, and auditability, and business user requirements for real-time analytics-enabled data. This approach brings the best value to your business.
Effective and well-implemented DataOps can radically transform the way organizations process data, with a number of operational benefits. This is a striking advantage.
Improve data literacy
Securing a workforce with data literacy has been a topic for several years, but the human impact of recent data literacy seems to remain problematic, with only 20% of Australians fully equipped with data literacy skills. I am confident in
There are two important challenges to achieving a workforce with data literacy. The initial skills required to work with the data and the availability / accessibility of the data for employees to use the skills. DataOps puts data at the fingertips of employees, enabling them to gain business benefits while building skills.
Democratization of data
DataOps gives businesses scrutiny and access to managed data from around the world. Analytical insights have often been limited to data scientists who are away from the day-to-day operations of the enterprise. However, these insights can be extended to business users with multidisciplinary expertise, turning insights into action more quickly.
In addition to the above, analytics and insights can be extended to the front lines of business where customer engagement occurs, allowing employees to consider and act on insights and enhance the customer experience.
Continuous governance throughout the data delivery life cycle
Smart data catalogs, data indexes, and other tools enable IT teams to design modern governance processes to ensure that data is used and accessed properly throughout the organization.
This is done through two important components. One is access control to avoid fluctuations in data decisions, and the other is scale and agility by leaving data in lakes, warehouses, and other repositories on-premises or in the cloud.
More complete collaboration
DataOps confirms that data scientists and business analysts have come together to help analyze the data. Many organizations say they “close the gap between IT and business.” With DataOps, businesses can do just that, impacting all areas of the enterprise by delivering valuable data to all users in a consumable and controlled manner when needed.
HSBC, a Qlik customer at a multinational bank, is a prime example of how organizations can succeed with Data Ops. Banks have implemented a “data management path” that simplifies the process by identifying the limitations associated with relying on a dedicated team of data specialists to obtain reports on demand. Ultimately, that data management path is intended to simplify the way employees interact and access data.
HSBC worked with Qlik to confirm that they had the necessary dashboards in place and embedded the data throughout the company’s operations. This has made everyone in the business responsible for data management by giving each team the opportunity to get the most out of their data. For HSBC, a focus on simplicity and business value led to hiring, resulting in continued success.
DataOps allow organizations to bring together various components that are normally isolated and siled to accelerate cycle time while improving performance.
As organizations transform the way they process data and move to DataOps, they transform their entire business by increasing data literacy, increasing data availability, improving governance, and facilitating new levels of collaboration. Overall, DataOps advances your business and enhances your competitiveness.
Successful data using DataOps
Source link Successful data using DataOps