IDC:
Enterprises of all sizes are now grappling with achieving insight from data to better understand a dramatically altered market landscape or serve troubled customers, all while capturing or maintaining market share or finding a new niche within the market. However, the volume of data will continue to increase, and ready access to necessary IT resources by LOB staff can be a major limitation to the amount of value extracted from disparate data sources. Data is dynamic and multifaceted; therefore, reducing time to insight is an imperative.

The architecture for self-service data analytics is not just a technology project. It requires close alignment with business processes and needs; more importantly, it must be easy to use in order to achieve customer or user success.

In this webinar, IDC will discuss the scope of a self-service architecture initiative, as well as the common challenges and roadblocks.

Oracle:

Discover how to make your data architecture efficient and scalable to ensure your data unification processes are leading towards a self-service mode, so that your business personas can easily acquire, analyze and extract the data made available. Learn how you can store your data elements in the repository best suited to its structure and intended usage while providing a data virtualization layer to simplify access. In this session, find out how access to all your data can be enabled using the right tools and technologies that are familiar and easy to use.

Speakers



Achim Granzen
Principal Analyst
Forrester

Achim is a principal analyst based in Singapore, serving CIOs across Asia Pacific. His research focuses on analytics and data-driven transformation, the interplay of technology capabilities and business capabilities, and organizational change and governance.



Sugumaran Kannusamy
Senior Director, Converged Infrastructure & Transformational Technology Business Development, JAPAC
Oracle

IDC: Data Architecture Strategy for the Future Enterprise

Enterprises of all sizes are now grappling to achieve insight from data to better understand a dramatically altered market landscape, serve troubled customers while maintaining a competitive advantage, capturing and maintaining market share, or find new niches within the market. However, the volume of data continues to increase and the ready access to necessary IT resources by LOB staff can be a major limitation to the amount of value extracted from disparate data sources. Data is dynamic and multifaceted; therefore, reducing time to insight is an imperative.

The architecture for self-service data analytics is not just a technology project; it requires close alignment with business processes and needs. Most importantly, it must easy to use in order to achieve customer/user success. In this webinar, IDC will discuss the scope of a self-service architecture initiative, as well as the common challenges and roadblocks.

Oracle: Building a Self-Service Data Architecture

Discover how to move towards a self-service data architecture by building efficient, scalable data unification processes, so that your business personas can easily acquire, analyze, and extract the data available. Learn how you can store your data elements in repositories best suited to its structure and intended usage, while providing a data virtualization layer to simplify access. Access to all your data should be enabled using the right tools and technologies that are familiar and easy to use, and you can start your transformation here!

Speakers



Chris Morris
Vice President – APeJ Cloud Services and Technology
IDC

Chris comes to IDC with more than 25 years of extensive IT research and more than 35 years of industry experience. Working closely with IDC analysts in emerging markets, Chris brings thought leadership content and advisory expertise to other IDC research teams, the IDC Consulting team, as well as IDC's clients in the region. He drives business development efforts, delivers custom research projects for clients, and works closely with IDC's Consulting Group to manage and provide advice in strategic engagements.



Tarun Chatterjee
Director, Systems Solution Engineering, APAC
Oracle

IDC: Strategies for Data Consolidation and Management

The data management, governance, and security layer is more important today than ever before, as most digital transformation initiatives involve the concept of an ‘Intelligent Core’, as well as the automation and innovation mandatory in a business’s digital efforts. At the same time, the number of applications and associated databases have increased administration and operational costs. That means a phenomenon of systems and software building up in the datacenter until the complexity of the configuration itself inhibits both maintenance of existing systems and any possibility of expanding functionality to meet the needs of the business.

Add to that the imperatives represented by digital transformation — the movement of enterprises to fully enable, improve, and make agile their business processes by digital means, and you can see that a backlog of complexity will ultimately inhibit the ability of IT to respond to critical management initiatives.

In light of this, it is worth considering the adoption of 3rd Platform technologies; many have discussed emerging capabilities aimed at that purpose, including more open technologies such as Hadoop, NoSQL databases, cognitive systems, new software employing microservices, and container structures. In this webinar, IDC will discuss the business outcomes and enterprise strategies for database consolidation, as well as the challenges and opportunities for enterprises to succeed.

Oracle: Optimizing Oracle Database Consolidation on Exadata

As organizations transform and learn to unlock the power of data, many will experience runaway growth in the number of databases they need to manage. The Oracle Exadata platform allows them to host all their Oracle databases on a single platform while providing extreme performance, scalability, high availability, secure isolation and being simple to manage. And to top it off, it can handle any workload you throw at it, be it OLTP, data warehousing/analytics, In-memory, IoT etc - making Oracle Exadata the perfect environment for Oracle database consolidation.

Speakers



Linus Lai
Vice President, APeJ Software and Services Research
IDC

Linus Lai is a member of the Asia/Pacific Software and Services Research Group. He has more than 20 years of IT experience in the region. Based in Sydney, Australia, he has experience in several cloud, software, and services programs in Asia/Pacific excluding Japan (APEJ), which covers a wide range of technology and services markets across 13 countries. In this role, he is responsible for providing insights and analyses in enterprise adoption, integration, and management of these solutions.



Anthony Mastromauro
Principal Engineered Systems Specialist, Australia
Oracle

IDC: Delivering on the Data Demands of the Organization

IDC forecasts that by 2023, nearly 49 billion devices will be connected to a network and they will create a large part of the 103ZB of new data. In 2020 thus far, Asia Pacific accounted for 38% of this data, which is set to grow to 39% in 2023, which is 7% more than the US and the lions’ share. 60% of this new data will require some level of protection but only about half of it will be protected.

In today's connected world, data is required on the go, in the moment, and oftentimes personalized. This requires data to be delivered near real time. IDC defines real-time data as data originating with a need for action/response/recoding in less than 2 seconds. Losing access to this data or, worse, the data itself, due to unplanned downtime or ransomware has immediately financial impact in today’s Digital Transformed environment, where data-based products and services are driving topline revenue. However, traditional BCDR solutions have only been focused on “mission critical” data, which we learn often requires access to non-mission critical solutions to operate. We now need to think and act differently, and data resiliency, the ability to be available, instantly, 24x7 regardless of the environment is no longer a nice-to-have, but a business imperative.

IT organizations have to fundamentally shift their thinking and use a broad set of tools – many of which already in place – with regard to data management and security in order to avoid incurring economic loss. This session will provide guidance on what IDC believes are the new leadership trends on addressing both the technical and the people/process issues with regards to achieving a mature data management strategy.

Oracle: Protecting Your Data

The value of data in an organization varies in importance to the business, but in general relational databases typically hold the most valuable data. Organizations must recognize this in their technology investment to build advanced data protection frameworks in their data architecture. In this session, learn how you can include technologies that keep data systems available in case of unplanned failures as well as planned downtime events. We will also highlight tools for securing data centrally with a defense in-depth approach in order to enhance your strategy for data protection. Learn how a proper data architecture framework will help you to prevent data loss of all kinds of data (in particular critical and valuable data) and is capable of fast recovery in case of failures.

Speakers



Simon Piff
Vice President, APeJ Practice Group
IDC

Simon Piff is Vice President for IDC's Asia/Pacific region based in Singapore. He advises both technology and business leaders, as well as IT suppliers on Digital Transformation, the CIO Agenda and Digital Trust, as they relate to the ability of organisations to gain improved returns on their IT investments around hybrid cloud infrastructure, mobile productivity, the value of analytics and Artificial Intelligence (AI).



Subhash Guddad
Vice President, Systems Solution Engineering
Oracle