Big Data Analytics Asia

15 October 2019

Grand Hyatt Hong Kong




Tuesday 4th June, 2019

The Seminars will take place from 12.15 – 13.00.
Delegates will be able to attend one seminar at the event. No pre selection is required – delegates will be able to select which session they attend onsite.



How to make your Business Data-driven and AI Ready

Data – for years we’ve been hearing about its amazing, untapped potential. And how it’s the foundation for the next disruptive force that will impact the global business landscape, namely AI. But most today are focused on just getting more value from their data, and asking a simple question: What did my data do for me last night? At best, it did not do enough. At worst, it amplified existing challenges and reinforced existing biases without challenging them and uncovering new insights. Even worse yet, it may have complicated the ability to climb the ladder to the transformative value of AI.

Increasingly, business leaders are coming to the conclusion that their data cannot reach its potential until they change how people work with it. So now they are acting, and acting fast, to create data driven cultures, declaring their data strategic asset. Join us to hear how!

Issues to be addressed:

  • Weak decision making
  • Expanding risk & cost
  • Spiralling complexity


Big Data vs. Fast Data

Many believe Data value is primarily driven by volume. The bigger, the better. Hence, big-data systems often focus on data storage and the analysis of that static data. Phrases like “data warehouse”, “data lake” or “data store” all evoke large places in which data goes to sit.

We will explore examples of system and architecture built not just around passive storage but around the flow of data in real-time streams, where data is monetised through speed rather than size.

We will show how real-time data can be used to;

  • Significantly improve Customer Experience (CX), helping drive revenues and beat competition
  • Increase Operational Efficiency, slashing costs and
  • Mitigate risk, such as detecting Fraud

Overall, we want you to leave this seminar thinking about how real-time data can boost your business performance and whether your current big-data architecture is sufficient in today’s digital-first world.


From Cloud Ready to Cloud Smart – The Missing Link

IDC predicts “At least half of IT spending will be Cloud-based in 2018, reaching 60% of all IT infrastructure, and 60–70% of all software, services, and technology spending by 2020.” Gartner expects that by 2020, a corporate “No-Cloud” policy will be as rare as a “No-Internet” policy is today.

Most organizations today have some kind of a cloud footprint, whether public, private or hybrid. However, not many have the ability to truly harness the power of cloud without disruptions and manage its integration with existing on-premise data sources easily and in near real-time.
In their cloud journey, organizations face issues with downtime, data security and privacy, hybrid architecture deployment and time-to-market. Unless addressed from the very beginning, these challenges can turn cloud adoption into a nightmare. Some of the largest organizations across a wide range of industries have found their answer in data virtualization.

This session will discuss how data virtualization makes the cloud journey easy, agile and secure, supported by real customer case studies.


Beyond Analytics: Keeping the Finger on Your Business Pulse at Scale

Companies across all industries are transforming their businesses by extracting value from all their data and not focusing solely on analytics. These companies actively use advanced data flows, across a global data fabric, that are continuously being evaluated by machine learning algorithms to respond at scale, at the most detailed context of the business activity, and in a timely manner to the smallest predicted business pulses. Their ability to both detect and act in real time is having a profound impact on their business results.

We address:

  • How organizations are using mobile devices to interact with a brilliant, personal, and relevant view of their Big Data
  • How you can instantly visualize, explore, and share information; identify and respond to opportunities and risks as they unfold; and effectively execute as a team with your fingers on the pulse of your business performance


Self-Service Analytics has Arrived – But for Who?

In their bid to digitally transform and compete in today’s economy, the average enterprise has increased spending on data & analytics technology to $14M to make data-driven decision a reality. Yet while vendors claim self service capabilities, adoption rates hover at an abysmal 22%. Why? Because according to Gartner “no analytics vendor is fully addressing both enterprises’ IT-driven requirements and business users’ requirements for ease of use.” Business users don’t have the time or inclination to learn a complex, IT-approved analytics tool.

This session will focus on why advancements in search & AI-driven analytics are driving the “Third Wave of Analytics,” eliminating the need for technical training while equipping every business person with the ability to analyse data quickly and efficiently.


Winning in the Analytics Economy

Competitive advantage from analytics is changing, and for the better. The increased ability to innovate is producing a surge of benefits across industries.

Despite a historical trend of fewer organisations reporting a clear advantage from adopting an effective analytics strategy {2013-15}, there are clear signals that companies are now increasing their use of data and analytical insights for strategic purposes and are using data and analytics to
innovate business functions as well as entire business models.

Session overview:

  • Better Insights with less effort
  • Analytics that drive business transformation
  • Empower the workforce by enabling Data Literacy
  • Driving a Data Strategy in organisations


Maximizing Revenue by Quickly Identifying Performance Trend Changes with Autonomous Analytics

When reliability matters, autonomous analytics meets the needs of those involved in the technology and application sector, and the recipients of such innovation, who require an independent source of ideas, advice and insightful analysis.

Autonomous analytics frees up a company to do analytics on anything and practically everything. The software automatically, autonomously builds a semi-exhaustive list of models that could impact your business significantly. Given that there is a clear correlation between the volume of data a large scale enterprise tends to have to manage and the impact this has on individual and departmental innovation for business benefit, it’s clear why the value of autonomous analytics can not be underestimated.



Adopting a Data-Driven Approach to Understanding Your Customers

Not only do people spend an increasing amount of time online, but in their role as consumers they are also spending an increasing amount of money online. Despite this reality, all too often organisations engaged in e-commerce fail to offer structured, engaging online experiences which are designed to keep existing customers interested and draw the attention of new ones. Such fragmented, siloed offerings fail to track the customer journey online, reduce the potential for greater product visibility and for increased sales, the lifeblood of any commercial entity.

Discover how you can link up the customer experience by:

  • Adopting a data driven approach to the profiles of your customers
  • Mapping customer interaction with online platforms
  • Predicting customer behaviour
  • Tracking customer base quantity and quality