Using DataOps to deliver big value from big data

วันที่ 2 กรกฎาคม 2563 (09.45-11.30)

สถานที่ Online

Using DataOps to deliver big value from big data

Unleashing the true power of data to drive innovation, create value and secure competitive advantage

Data is unarguably the most strategic asset of any organisation. How it’s managed, accessed, secured and analysed iscritical to the organisation’s success in generating new revenue streams and better customer experiences.

It is a fact that the volume of data produced during one year equals the amount of data the mankind created last century. Incredibly, data scientists claim that now data doubles every 12–18 months.

It is no wonder then that businesses continue to struggle with managing and obtaining full value from their data in this new edge to a multi-cloud world.

How do you monetise your data and gain a competitive advantage?

Data management has been around since the beginning of IT and it is increasingly becoming clear that the old ways of data management are hindering the transformation of data into value.

 

The growth of cloud, mobility, expanding governance requirements, new data sources from IoT, and the edge and increasing use of AI and machine learning (ML) have all changed the game. There is more data and more ways to use it than ever.

 

But the current state of data management is riddled with problems and bottlenecks that hamper organisation from getting full value from their data.

 

To support the goal of monetising data, the modern data supply chain must enable an analysis of new types and combinations of data at a far greater scale than has been possible with traditional enterprise business intelligence and data warehousing systems.

 

 

Is DataOps a windfall technology?

 

DataOps is data management in the AI era.

 

It unleashes data’s ultimate potential by automating the processes that enable the right data to get to the right place at the right time - all while ensuring it remains secure and accessible only to authorised employees.

 

Currently, though, organisations face systems rife with barriers and separations; with priorities set without regard to the needs of users. As a result, in the current data supply chain, complexity has gotten out of control.

 

The time is opportune to make data the true currency of value creation and also to turn data into insights at the desired speed and scale.

 

Two complementary developments are promising to make this transformation happen.

 

One is the evolution of an Agile mindset, a framework for approaching, implementing, and demanding more from data management solutions.

 

The second is a series of technological breakthroughs that enable end-to-end data management, not only possible, but safer, faster, and more useful than ever before. 

 

It's a get-to-value-first, get-to-value-fast philosophy that enables the enterprise to either fail or succeed quickly and rapidly build on what works.

 

The question is:Are you ready to put your data to work?

 

OpenGov is pleased to invite you to our exclusive OpenGovLive! Virtual Insight aimed at imparting knowledge on exploring new ways to monetise data, grow revenue, drive innovation for smart outcomes and empower decision-makers.

 

This session serves as a great peer-to-peer learning platform to gain insights and practical solutions to derive great value out of data and understanding of DataOps advantage.

 

We will be discussing how to:

 

• Monetise your data and turn it into a competitive advantage
• Improve time-to-market by streamlining your data operations
• Store, manage and protect data at the lowest cost and the right service levels across edge, private, hybrid, and multi-cloud solutions
• Enrich data with metadata classification and cataloging to provide context for intelligent data management and governance
• Discover, integrate, and orchestrate enterprise data assets and leverage analytics to generate actionable insights for every enterprise interaction and application
• Deliver outcomes that capture the full economic value of all the data inside your enterprise and beyond

 

Who should attend:

 

• Chief Data Officers
• Chief Digital Officers
• Chief Information Officers
• Chief Information Security Officers
• Chief Technology Officers
• Chief Security Officers
• Vice Presidents, Information Technology
• Heads of Application
• Data Architects
• Chief Data Scientists
• Heads of Data and Cloud Management