Using DataOps to deliver big value from big data

OpenGov has over 20 years’ experience in providing a platform enabling collaboration. The last 5 years, solely to Public Sector within the Asia Pacific Region, including Australia and New Zealand. We are a team that has revolutionised the traditional conference platform, having developed a method to return real and tangible value to the delegates that attend. By creating an environment that enables and enhances true collaboration and knowledge exchange, OpenGov enhances the experience which provides true insights from lessons learnt. These insights are delivered from, and by the many leaders in government agencies from around the world that attend these events. These events cover ICT, Health, Education and Crisis Assessment Response Effectiveness (CARE). Our team has been past winners of the "Best CEO Level Conference in Asia" award.In speaking with over 500 Government ICT officials this year, we have detailed the challenges many government CIO’s face. Due to the ever changing digital environment, CIO's struggle to keep up with all these changes. To assist these CIO's, OpenGov has embarked on a journey of exploration, finding solutions and best practice examples to assist CIO's in bridging this knowledge gap.OpenGov has organised many types of events. These events being small training seminars, large scale conferences and industry based exhibitions. They specifically focus on Government, in the areas of Public Sector ICT, Health care and Education. To add further value to these events, we have included private sector representation, which has further expanded on our knowledge based and understanding in the delivery of services to our citizens.

OpenGov Asia

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Australia Time 11.45 am – 1.00 pm 
 
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:
 
<UL>
<LI>Monetise your data and turn it into a competitive advantage</LI>
<LI>Improve time-to-market by streamlining your data operations</LI>
<LI>Store, manage and protect data at the lowest cost and the right service levels across edge, private, hybrid, and multi-cloud solutions</LI>
<LI>Enrich data with metadata classification and cataloging to provide context for intelligent data management and governance</LI>
<LI>Discover, integrate, and orchestrate enterprise data assets and leverage analytics to generate actionable insights for every enterprise interaction and application</LI>
<LI>Deliver outcomes that capture the full economic value of all the data inside your enterprise and beyond</LI>
</UL>
 
Who should attend:
 
<UL>
<LI>Chief Data Officers</LI>
<LI>Chief Digital Officers</LI>
<LI>Chief Information Officers</LI>
<LI>Chief Information Security Officers</LI>
<LI>Chief Technology Officers</LI>
<LI>Chief Security Officers</LI>
<LI>Vice Presidents, Information Technology</LI>
<LI>Heads of Application</LI>
<LI>Data Architects</LI>
<LI>Chief Data Scientists</LI>
<LI>Heads of Data and Cloud Management</LI>
</UL>

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Using DataOps to deliver big value from big data

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