Acting on Analytics: How to Build a Data-Driven Enterprise
Since 2012, Big Data and Analytics have become a major topic of discussion, catalyzing attention among the C-Level executives and driving investments and projects inside the enterprise. However, there is one component that can halt any initiative: YOUR COMPANY's ANALYTICS MATURITY.
How prepared is your company to implement and use the available data, the high end modeling techniques and the data as well as analytics expertise?
From what I have learned and experienced, companies are still not adequately prepared, hurting their ability to compete in the market.
This presentation will help executives and data professionals to understand the steps needed to create an analytics organization, and provide some real life examples on companies who succeeded and some who failed miserably.
RecordedSep 11 201349 mins
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Andy Kirk, Data Visualization specialist and Editor, VisualisingData.com
In this talk Andy Kirk will shine a light on some of the most discussed and debated aspects of data visualisation design. The aim of the talk is to expose some of the myths about data visualisation and reinforce some of the truths in order to offer practitioners, professionals and part-time enthusiasts alike greater clarity about this increasingly popular discipline.
Viewers will come away with a greater understanding of the rights and the wrongs in data visualisation as well as an awareness of the aspects of this activity that must remain tagged with the elusive notion of ‘it depends’. Along the way Andy will exhibit some of the best examples and techniques from across the field.
Kirk Borne, Principal Data Scientist, Booz Allen Hamilton
I will summarize the stages of analytics maturity that lead an organization from traditional reporting (descriptive analytics: hindsight), through predictive analytics (foresight), and into prescriptive analytics (insight). The benefits of big data (especially high-variety data) will be demonstrated with simple examples that can be applied to significant use cases.
The goal of data science in this case is to discover predictive power and prescriptive power from your data collections, in order to achieve optimal decisions and outcomes.
Graham Seel (BankTech Consulting), Shirish Netke (Amberoon), Bob Mark (Black Diamond Risk)
When it comes to tracking the flow of money, it’s no doubt that studying patterns and analytics behind the transactions are important in fighting financial crime.
Join this session where we'll discuss:
-The application of machine learning and big data in AML monitoring
-How to implement proper Know-Your-Customer (KYC) processes
-Challenges around automation and using predictive analytics to prevent future issues
Annine Nordestgaard Bentzen (Hufsy), Jeremy Light (Accenture), Stefan Weiß (Fidor), Jan Sirich (Nordea)
A successful Application Programming Interface (API) strategy relies heavily on concepts of open infrastructure and open data. The adoption of Open APIs in banking is thus an idea that has been met with excitement and, understandably, concern as well.
Attend this summit where our experts will discuss:
-What’s in it for banks/fintechs?
-What are the pitfalls when it comes to opening up APIs for banks and integrating into open APIs for fintechs?
-PSD2 - will you be ready (mostly a consideration for banks)?
-How should we (fintechs and banks) operate until the PSD2 is rolled out?
Bruce Kolodziej, Predictive Analytics Sales Manager
Predictive analytics has gained much attention in recent years, enabling organizations to make better, faster and more accurate business decisions. These decisions are applied across virtually all industries to generate revenue, reduce costs and risks and improve processes. Join us for this session to learn about:
- Why predictive analytics is hot topic
- The business value of predictive analytics
- Striving for impact, not just insight
- Use cases across industries
- The importance of an integrated platform approach to building and deploying predictive models
- Operationalizing predicted results via business intelligence applications for end-user consumption
Natalino Busa, Head of Applied Data Science at Teradata
Natalino introduces a collection of machine learning techniques to extract insights from location-based social networks such as Facebook, demonstrating how to combine a dataset of venues’ check-ins with the user social graph using Spark and how to use Cassandra as a storage layer for both events and models before sketching how to operationalize such predictive models and embed them as microservices. In terms of data architecture this processing follows closely the SMACK stack.
The proposed data-pipeline is effective at detecting patterns in the sequences of visited venues and recommend relevant venues to visit next, based on the user, and friends location's history as well as the venue popularity graph. Natalino Busa explains how these predictive analytics tasks can be accomplished by using Spark SQL, Spark ML, and just a few lines of Scala and Python code.
Ronald van Loon, Director Business Development, Adversitement
Companies today are focusing on creating a 360-degree customer view. To do so, the first step is to have your data collection up and running, making sure that you can deliver data to a centralized environment, from which it can be used for further processing. If you manage this, where do you start if you want to find patterns and insights to outperform the competition? In other words: how can you discover the predictors in your customer data that lead to churn, sales & up & cross sales?
In this webinar Ronald van Loon, Director at Advertisement, will:
•Discuss several case studies
•Elaborate on the challenges
•Define the impact for organizations and professionals responsible for online sales and customer retention
•Show how a new approach and technology can solve these challenges
•Discuss the result for organisations
Shreyas Shah, Principal Data center Architect, Xilinx
In the cloud computing era, data growth is exponential. Every day billions of photos are shared and large amount of new data created in multiple formats. Within this cloud of data, the relevant data with real monetary value is small. To extract the valuable data, big data analytics frame works like SparK is used. This can run on top of a variety of file systems and data bases. To accelerate the SparK by 10-1000x, customers are creating solutions like log file accelerators, storage layer accelerators, MLLIB (One of the SparK library) accelerators, and SQL accelerators etc.
FPGAs (Field Programmable Gate Arrays) are the ideal fit for these type of accelerators where the workloads are constantly changing. For example, they can accelerate different algorithms on different data based on end users and the time of the day, but keep the same hardware.
This webinar will describe the role of FPGAs in SparK accelerators and give SparK accelerator use cases.
Kasper Sylvest (Danske Bank), Amir Tabakovic (BigML), Nick Jetten (VODW)
This first white paper of the new series discusses the value of predictive analytics for the financial industry and answers the
question why this is the right time to start with predictive analytics and how to empower entire organisations to use it.
As mobile technology evolves and everything around us – not just our mobile devices– is becoming connected we are
entering a new era of connected experiences. The customer journey in the financial industry is completely digitized. This
exponentially increases the number of interactions between a financial service company and its customers.
Customers expect banks to understand their context and the challenge for financial industry is to be relevant at all these interactions.
In this webinar, we will discuss:
-How predictive analytics will lead to vast improvements of existing static business rules and achieve progress like reducing cost, increasing revenues and improving customer experience
-Why Mobey Forum expects that predictive analytics skills will soon be essential for banks to keep their position in the market
against non-banks but also other banks that will be using predictive analytics as a competitive weapon
-Why we should not just focus on a "rear view mirror" approach, but also identify and address questions concerned with the future
-Areas of application for predictive analytics in financial institutions
-Case studies of card-linked offers, next best action, pricing, claim handling, risk assessment
Kris Applegate, Big Data Solution Architect, Dell; Tom Phelan, Chief Architect, BlueData
Watch this webinar to learn about Big-Data-as-a-Service from experts at Dell and BlueData.
Enterprises have been using both Big Data and Cloud Computing technologies for years. Until recently, the two have not been combined.
Now the agility and efficiency benefits of self-service elastic infrastructure are being extended to big data initiatives – whether on-premises or in the public cloud.
In this webinar, you’ll learn about:
- The benefits of Big-Data-as-a-Service – including agility, cost-savings, and separation of compute from storage
- Innovations that enable an on-demand cloud operating model for on-premises Hadoop and Spark deployments
- The use of container technology to deliver equivalent performance to bare-metal for Big Data workloads
- Tradeoffs, requirements, and key considerations for Big-Data-as-a-Service in the enterprise
Peter Gossin, Digital Transformation Manager, Microsoft
Digital transformation is the process of using today’s technology to modernize outdated processes and meet the most pressing needs of your business.
Thanks to recent advances in lower cost tablet technology and Microsoft’s suite of cloud and productivity services, complete digital transformation is more accessible now than ever before. A new class of affordable devices is revolutionizing the way businesses and their employees work and interact with customers.
Sign up now to:
•Engage your customers
•Empower your employees
•Optimize your operations
•Transform your products
The USP of Hadoop over traditional RDBMS is "Schema on Read".
While the flexibility of choices in data organization, storage, compression and formats in Hadoop makes it easy to process data, understanding the impact of these choices on search, performance and usability allows better design patterns.
Learning when and how to use schemas and data model evolution due to required changes is key to building data-driven applications.
This webinar will explore the various options available and their impact to allow better design choices for data processing and metadata management in Hadoop.
Modern self-service personal productivity analytic tools allow individual users to create sophisticated calculations and sets. However, for an organization to maximize the value of analytics this business logic must be released from myriad of spreadsheets and documents that it is embedded. Join us to discuss how analytic platforms allow data-driven organizations to centralize, share and contextualize this content.
In the era of data explosion in Cloud-Mobile convergence and Internet of Things, traditional architectures and storage systems will not be sufficient to support the transition of enterprises to cognitive analytics. The ever increasing data rates and the demand to reduce time to insights will require an integrated approach to data ingest, processing and storage to reduce end-to-end latency, much higher throughput, much better resource utilization, simplified manageability, and considerably lower energy usage to handle highly diversified analytics. Yet next-generation storage systems must also be smart about data content and application context in order to further improve application performance and user experience. A new software-defined storage system architecture offers the ability to tackle such challenges. It features seamless end-to-end data service of scalable performance, intelligent manageability, high energy efficiency, and enhanced user experience.
Natalino Busa, Head of Applied Data Science at Teradata
We are very well aware that companies like Facebook, Twitter, Whatsapp deal with datasets in the range of 100's of Petabytes and more. However not all datasets are that big. Did you know that all english pages of Wikipedia amount to just 49 GB uncompressed text data? Likewise, there are a large amount of datasets ranging from customers data to events and transactions which do not exceed the low Terabyte range.
In this webinar we will discuss how to process data in this range both for interactive queries as well for batch processing. We will look at what tradeoffs can be made by tuning the architecture with SSD and RAM. And which distributed computing paradigm work best for this datasets and their typical workloads. We will revision the concepts of data locality, data replication and parallel computing for this specific class of datasets.
Leading companies derive big data technology choices from business needs instead of technology merits. With the variety of possible use cases, either Hadoop, Spark or SAP HANA may provide the best fit to solve business challenges and create value.
Sounds easy, but managing a variety of big data solutions within a single company puts a skills and cost premium on the organization.
This session will guide you to the right big data technology according to business needs and highlights the fastest path to adoption.
Adrian Whitehead, Specialist Systems Engineer, Isilon Storage Division, EMC ETD
Organisations are spoilt for choice when it comes to Big Data tools with current trends promoting Hadoop as a method of analysing vast amounts of stored unstructured data. Organisations are also increasingly looking towards tools which can monitor live feeds - e.g. Twitter - to perform actions in real time based on keywords. To perform this valuable analysis Spark has become the ecosystem of choice.
Join this session to uncover which tool to choose to improve the performance of your business.
In today’s digital world, with the rich streams of customer data now available come important responsibilities in data governance. From the vendors we choose to work with, to the policies and practices we have in place, today’s marketers are increasingly responsible for ensuring customer data is handled with the utmost concern for security and privacy. In this session at Digital Velocity 2016, Chris Slovak, VP of Global Sales Solutions at Tealium, and Maltie Maraj, Senior Counsel at Tealium, detail the current legal landscape (in marketers’ terms!), and provide guidelines for a more comprehensive approach to data governance and informed technology decisions.
Monique Trulson, Director of E-Commerce at Dover Saddlery
There’s no denying that we now live in an omnichannel world – and that organizations across industries are grappling with how to provide a consistent customer experience across channels. Connecting data across touch points, both online and offline, is not an easy feat - but is the key to delivering the highly relevant, personalized interactions that result in conversions. In this session at Digital Velocity 2016, Monique Trulson shares her deep experience in marrying online data with previously siloed offline data to build a unified customer view, and leveraging that unified view to transform customer engagement.
Jay van Zyl (Innosect), Pedro Bizarro (Feedzai), Natalino Busa (Teradata), Matt Mills (Featurespace)
One of the main benefits of Machine Learning is being able to analyse a large amount of data at the speed and efficiency that would require a huge team of humans. This is something that has proven to be very necessary in the Financial Services industry, where insurance companies, banks, and lenders need actionable insights quickly.
Join this panel where we will discuss:
-Why is Machine Learning such a hot topic? What are the benefits/challenges?
-What is needed to do Machine Learning right?
-Case studies of how Machine Learning is helping financial institutions — better customer experience, faster actionable insights
-How ML is able to spot trends and patterns to mitigate risk
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.
Subscribe to this channel to learn best practices and emerging trends in a variety of topics including data governance, analysis, quality management, warehousing, business intelligence, ERP, CRM, big data and more.
Datameer 6 is completely re-imagining the user experience for modern BI, helping you deliver new insights faster and more results to your data-hungry business.
Watch this on-demand webinar, with special guest speaker, Sean Anderson, Senior Product Marketing Manager, from Cloudera, who discusses Cloudera's view of the Hadoop data processing stack and how the market place is benefiting from Spark.
Blue Hill Research analyst James Haight joins Andrew Comstock, Director of Product Management, in this interactive discussion about the true value of data prep and how it's changing business efficiencies within the enterprise.
Join us for this special one-hour discussion to learn:
•Who needs to prep data and why
•How much time data analysts actually spend preparing data
•The quantifiable cost, limitations, and risks of using traditional data prep methods
•Specific ways to use data prep to solve data management challenges
It’s time to upgrade your desktop experience. But how? In this session, explore the options and recommendations for deploying the latest Windows and Office desktop experience, and hear suggestions on how you can help minimize user issues. If you are wondering about reimaging, in-place upgrades, MSI, Click-to-Run, Current Branch, Current Branch for Business, and Long-Term Servicing Branches, this session is for you!
Lustre* is the parallel file system of choice for HPC, Bio-Science, and realtime Big Data analytics with more than 50% share of HPC Storage Market. Lustre has traditionally required custom proprietary storage products to achieve required performance. Supermicro, in close partnership with the Intel® Enterprise Edition of Lustre team has introduced an open software-defined Lustre Solution based on Intel EE of Lustre, open source ZFS and open industry standard hardware, reducing storage costs by up to 90% versus traditional solutions. This webcast is a technical product and architecture overview of the Supermicro Total Solution: software, hardware and services.
With more than 100 billion searches per month, Google answers a significant number of the world’s product and shopping-related queries.
Brands and manufacturers want to help shoppers make better buying decisions by providing richer, higher quality, and more accurate product information. They also want tools to understand the success of their products online.
In this webinar, marketers, product managers and e-commerce managers will learn how to use both Google's Merchant Center and Manufacturer Center to improve their brand awareness across various verticals such as CPG, Consumer Electronics, Apparel, Home& Garden etc, empowered by Informatica’s product information management app, named Informatica MDM – Product 360.
Modern day mercantile retailer, Murdoch's - Ranch & Home Supply,will also be part of this webinar. They will share and explain how they leverage both MDM - Product 360 and Google Merchant Center to deliver the best customer experiences.
• Nagesh Kanumury - Director Product Management, Informatica
• Kevin Dean - eCommerce Merchandising Manager, Murdoch's - Ranch & Home Supply
• Christian Santiago - Strategic Partner Development Lead, Google
• Meg Mason - Lead Partner Operations Manager, Google
• Niaz Ahmed - Partner Technology Manage, Google
Customer service organizations are now at the epicenter of their company’s ability to differentiate their brand and drive customer loyalty and advocacy. This means having an agile service environment designed to adjust and anticipate the needs of customers and your brand at the pace of innovation. Join us to experience our vision for service organizations in the digital age.
In this webcast, viewers will learn more about:
•Interacting with your customers anywhere, at any time, across multiple devices
•Delivering customer service in a seamless way across physical and digital environments
Phillip Russom, of TDWI will discuss the challenges facing data management today and eight specific things to consider to improve your data management maturity.
As organizations increasingly look to compete on data, IT is challenged to deliver data in the time frame and quality that the business requires. This webinar will help you to increase your data management agility and to take your organization to the next level.
Ever since iPhones came equipped with the soothing tones of Siri, artificial intelligence entered the mainstream. Whether answering basic questions or finding information on local architecture, artificial intelligence (AI) simulates human intelligence such as visual perception, speech recognition, decision making and even language translation. From the insurance industry’s anti-fraud efforts to the latest automobile technology (self-driving mini-vans anyone?) AI is revolutionizing products and services throughout the business world.
From Google to Sony to Facebook, the big players are investing in AI and smart money is on its continuing relevance to emerging business. Join this VB Live event where experts lay out the AI landscape, tell you what you can expect in the next few years and the potential impacts on your bottom line.
In this webinar, you’ll learn to:
• Understand the AI outlook
• Recognize the key players (what they know that you should too)
• Anticipate changes in the AI landscape and plan accordingly
• Find ways to integrate AI into your business plan
* Ron Brachman, IEEE Fellow, Former Chief Scientist of Yahoo!
* Tobias Goebel, Director of Emerging Technologies, Aspect Software
* Akhil Aryan, VP of Product & Growth at Haptik.
* Jon Cifuentes, Analyst, VentureBeat
* Wendy Schuchart, Moderator, VentureBeat
Government agencies all over the world are faced with increasing pressure to make better decisions faster to address rapidly changing operational environments and emerging risks of various nature. While there is an abundance of data for completing the information puzzle, it is a significant challenge to address massive volumes of disparate data from diverse sources such as surveillance cameras, broadcast media, sensors, social media, transactions, etc., and to effectively automate analytics processes to accelerate the delivery of comprehensive and relevant insights that matter.
Join our webinar to see how HPE IDOL, a unified analytics platform for text and rich media data, can help you break down data silos, monitor real-time data feeds, uncover coveted trends/patterns/relationships, and streamlines workflows. Discover how IDOL powers real-life applications in defense, transportation security and law enforcement.
Excited about the new Windows 10 features? We are, too! Join this session to learn about how Microsoft Intune and System Center Configuration Manager are going to support and enhance new features in Windows 10 that unlock new scenarios and management options which weren't previously possible. Plus, explore improvements for deployment and upgrade in System Center Configuration Manager, Microsoft Intune, and Windows 10. Learn how Microsoft is gearing up to make the deployment and upgrade of Windows 10 using Configuration Manager or Intune the easiest yet.