The C-Suite in every organization is obsessed with the buzz around Big Data and according to industry pundits almost 9 out of 10 organizations today have included this growing trend in their IT plans for 2014. But we all know that when it comes to execution and extracting true business value out of Big Data, only a fraction of the companies are successful. Believe it or not, infrastructure platforms play a key role in demonstrating the power of performance to deliver blazing speed analytics and makes all the difference if you can get a query answered in 3 seconds vs. 3 hours!
Welcome to the new style of IT and a paradigm shift towards converged infrastructure or as IDC states it as the “3rd platform”, where you are no longer bound by the limitations of your traditional datacenter. Instead of plumbing or retrofitting your existing landscape you now have proven alternatives to augment your legacy environment with leading innovative platforms that are purpose built, seamlessly integrated and can be deployed in days vs. months. Learn from the best practices of some of our customers who have embarked on this journey already and paved the way for handling Big Data!
RecordedApr 10 201445 mins
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The technology landscape is moving at a fast pace and organisations are struggling to keep up and need to think of new ways of processing, analysing and getting value from the vast array of data sources now available.
Tune in to listen to a conversation between two technology experts who discuss the current challenges experienced in the big data industry and what tools and infrastructure are being deployed including Spark, Hadoop, Splunk etc. to get value from the massive amounts of data flowing around the globe!
Spireon, an IoT company, needed a BI platform that could turn over 3 billion records of data, with a projected growth rate of 3x per year, into operational insights both for their internal teams as well as their customers.
Watch this webinar and learn:
- How Spireon used Birst to transform semi-structured data into analytic format
- Best practices in approaching analytics for data volumes with exponential growth
- How analytics is used internally by product and customer success teams
- How Spireon has disrupted the IoT market by creating a data product
Dashboards are the most important, fundamental, tool for delivering Business Intelligence insights to your users. But, data visualization expert Stephen Few, has declared that most BI dashboards fail. Attend this webinar and learn how to construct best practice dashboards, achieve high ROI and create BI success; not failure.
Whether you're just starting out or a seasoned solution architect, developer, or data scientist, there are most likely key mistakes that you've probably made in the past, may be making now, or will most likely make in the future. In fact, these same mistakes are most likely impacting your company's overall success with their analytics program.
Join us for our upcoming webinar, 3 Critical Data Preparation Mistakes and How to avoid them, as we discuss 3 of the most critical, fundamental pitfalls and more!
• Importance of early and effective business partner engagement
• Importance of business context to governance
• Importance of change and learning to your development methodology
Financial data is both the most intimate and most powerful data we have about ourselves. Financial data should not kept in a silo but openly available to third parties, -- this is required for true innovation. However, security and data protection are crucial. Banks and third party providers have to work together to provide the infrastructure required to innovate.
Join this webinar where we will discuss:
-The power of APIs -- how to integrate banking data and financial sources quickly and easily
-What developers need to know about banking APIs and how to foster new services in the FinTech space
-PSD2 Post-Brexit -- what now?
-Will traditional banks be replaced by FinTech banks one day?
-Which is the biggest challenge: market education, technical issues, or regulation?
DIna Love,HPE, Akshar Dave, Softnets, Steve Sarsfield, Jeff Healey
One of the biggest issues facing organizations today is extracting intelligence from data residing in multiple silos across the datacenter. HPE Vertica 8 provides organizations with a unique, analyze-in-place, unified architecture that enables businesses to continually gain intelligence from their information, wherever it lives. HPE Vertica 8 also includes core data movement and orchestration enhancements, resulting in up to 700 percent faster data loading for hundreds of thousands of columns, simplified data loading from Amazon S3, and comprehensive visual monitoring of Apache Kafka data streams. With this webinar we will have key individuals from HPE Vertica team to deep-dive into the latest innovations included as part of HPE Vertica 8 release.
The basics of data cleaning are remarkably simple, yet few take the time to get organized from the start.
If you want to get the most out of your data, you're going to need to treat it with respect, and by getting prepared and following a few simple rules your data cleaning processes can be simple, fast and effective.
The Practical Data Cleaning webinar is a thorough introduction to the basics of data cleaning and takes you through:
• Data Collection
• Data Cleaning
• Data Classification
• Data Integrity
• Working Smarter, Not Harder
Harmeen Birk, Director; Hristiyan Nedkov, Business Analyst, Tableau
The world of commercial banking moves swiftly. B2B clients have complex needs and offer great opportunity for banks who can move fast, resolve queries quickly and provide a premium service. If relationship managers aren’t anticipating and responding to their client’s every need then business can easily be taken elsewhere. However, with hundreds of clients to manage at once, it is often impossible to keep them all happy.
For one of the largest commercial banks in the UK, Tableau provided the perfect solution to create client dashboards to help relationship managers, product partners, and service and operational staff to all easily access and take action on client feedback, review product opportunities and keep up to date with client industry news.
It’s the Big Bang of big data; or where it all begins. The foundational first step in data analysis is data preparation. With the potential to derail everything that supersedes it, it’s imperative that the right measures are taken far in advance of any discovery analysis.
Join these discussions to learn best practices in proper data profiling, modeling, transformations and normalization for all data sets.
Nick Keen, Data Governance Lead at Environment Agency
The Environment Agency works to create better places for people and wildlife, and support sustainable development within England. We’re responsible for:
· regulating major industry and waste
· treatment of contaminated land
· water quality and resources
· inland river, estuary and harbour navigations
· conservation and ecology
· managing the risk of flooding from main rivers, reservoirs, estuaries and the sea.
Good Data governance is especially important for the Environment Agency and we have millions of people depending on our data and information. The talk will show how
we undertake data governance and measure our performance; and how this supports our transition to an Open Data organisation
Data in the real-world is almost always dirty, incomplete, scattered or inconsistent. For data scientists, 'janitor work' is a key hurdle to data insights.
Whether you use big data for analytics or data science, with increasing variety and velocity of big data, the data pre-processing step can be the most time-consuming step in your data pipeline.
Featuring engineering concepts and practical examples in Python and R, this webinar will focus on technical considerations and data engineering techniques to optimise data preparation to get the most value from your big data pipeline.
It's no secret that brands today are investing more money than ever in marketing technologies to gain better insight into customer preferences and behavior. We rely heavily on these systems to collect data and deliver the best experience for engaging and converting visitors. However, when this data isn’t shared between your vendors, you may be overlooking a big opportunity to maximize return on your investments.
This webinar will explore 3 ways to power intelligent marketing campaigns by leveraging real-time data you already have, as well as examine a more practical take on how to extract value from connecting data across your entire technology stack, allowing more timely, relevant, and meaningful interactions with the customer.
Ina Yulo (BrightTALK), Steve Tigar (Money Dashboard), Dan Scholey (Moneyhub)
Data visualisation is a discipline that uses graphs and charts to easily communicate large chunks of data into easily digestible formats.
When it comes to personal finance, data visualization has been used to create useful dashboards where users can keep track of their spending, income, and budgeting.
Join this session where we will discuss:
-Why is data visualization so useful when it comes to personal finance?
-What are the best data viz tools/apps for personal finance?
-What are customers missing from banks that personal finance fintechs are able to provide?
-What are the best practice tips for using dashboards and apps to improve personal finance?
-What are some common mistakes people make when managing their personal finances?
-What are some common misconceptions of data visualization?
Three-quarters of Americans believe that control over their personal data is very important, but only 9% believe they have this control. Up until now, data governance and protection have been a low priority for brands, but the long-term impact of a data breach can lead to a loss of consumer confidence – not to mention massive financial implications. How do you balance the opportunity to provide the best customer experience with the increasing responsibilities in data privacy and security?
In this webinar, we’ll discuss five industry best practices for building an effective data governance plan. From the vendors you choose to work with, to the policies and practices in place today, learn how to make sense of the current legal landscape and how Tealium’s solutions allow you to provide these safeguards to your customers.
Ronald van Loon, Director Business Development, Adversitement
Many companies nowadays run their business through multiple channels. So to get insight into customer behavior they may perceive a need to focus on creating an omni-channel view. Obviously this is primarily on data collection, but using the data for visualization and analytics is that important.
It will facilitate use of BI tools by stakeholders to get the right insights. But are all tools suitable for all people, what are best practices and how to organize your teams to get best results?
In this webinar, Ronald van Loon will:
• Elaborate on the challenges
• Show how a new approach contributes to meeting them
• Discuss several case studies and their results
What’s the truth about using predictive analytics – the possibilities and reality; and dare you use it? Do you have the technical ability to implement it, and the tools to do something in response to the predictions?
In this webinar we’ll look at the full spectrum of technology and benefits, then tear it down into something we can actually use now, that’s not scary and delivers measurable value to you and your customers.
Gartner predicts that “analytics will be pervasive … for decisions and actions across the business.” Sounds like analytics nirvana with instant access for any analysis you want to do, in other words self-service BI. Is this dream or reality?
Join this webinar to find out how clouds like AWS or Azure are moving the industry close to this nirvana today through simple assembly of cloud services combined with the appropriate consumption model of these services.
We will demonstrate how easy it is to provision your high end SAP HANA Database right next to your BI Analytics tier.
Maybe we are closer to this nirvana than you think?
The “Old” world of BI, with its IT centric solutions, OLAP based reporting, and limited ad-hoc querying, has a lot of shortcomings that inhibit self-service BI. Yet, with increasing data complexity has come a new age of BI that is focused on taking strides to provide faster, more data driven and integrated solutions to try and empower the business user.
Join Ani Manian, Head of Product Strategy at Sisense, as he explains the old and new trends in data analytics, and how you can make sure you benefit from a more business-centric world. You’ll learn how to set up meaningful KPI’s, model data according to specific business needs, and work interactively with business users to prototype relevant reports.
Ina Yulo, Tom Berthon (Senior Product Owner, Growth team), Kathryn Birch (Customer Success Manager), BrightTALK
Data is everywhere, but unfortunately, most business users don't have the time to sort through a bunch of stats. They just want to see the bigger picture--so why not give it to them?
Self-service analytics has enabled business users to access and interpret data without needing any statistics background. When coupled with data visualization techniques, we've seen that not only are business users more encouraged to make more data-driven decisions, but they are also able to do this without needing help from their BI or IT teams.
Join this session where we will discuss:
-How to encourage people from all different teams to embrace self-service analytics
-Why data visualization plays a huge role in the success of a data-driven culture
-Top things to take note of when creating dashboards that can easily communicate and add value
-How to teach users to get the most from their data and generate actionable insights
David Burden - CEO, Daden Limited, an immersive learning and visualisation company
There are a number of exciting ways in which Virtual and Augmented Reality can be used to visualise data.
This presentation will look at 3 main approaches - the "virtual command centre", the "data space" and "annotated reality", and consider the pros and cons of each, and how they could be used with the current generation of VR/AR headsets, and how such systems may develop in the future.
Managing and analyzing data to inform business decisions
Data is the foundation of any organization and therefore, it is paramount that it is managed and maintained as a valuable resource.
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