10 Tips for Creating Jaw-Dropping Data Visualizations
Today's organizations need to display data in interesting, meaningful ways in order to take action and make the right business decisions. Often, difficulties arise when choosing the correct visualization to best highlight the important message the data provides. Attend this web seminar to learn ten tips to create spectacular data visualizations using BIRT that will provide actionable insights and delight your users.
· Easily create dashboards, scorecards and pictorial artifacts that provide information to partners and constituents in a relevant and useful format on multiple devices
· Manage assets, operations and processes more effectively
· Learn 10 tips for jaw dropping visualizations in your applications, including geospatial visualization, interactivity and analytics
RecordedDec 11 201360 mins
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Heather Kreger, Gopal Indurkhya, Manav Gupta, Christine Ouyang from the Cloud Standards Customer Council
Using analytics reveals patterns, trends and associations in data that help an organization understand the behavior of the people and systems that drive its operation. Big data technology increases the amount and variety of data that can be processed by analytics, providing a foundation for visualizations and insights that can significantly improve business operations.
In this webinar, the Cloud Standards Customer Council will discuss how to support big data and analytics capabilities using cloud computing. The speakers will walk through a cloud reference architecture and cover the various considerations and best practices for building big data and analytics solutions in the cloud.
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?
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?
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.
John Sweeney Director at Qbase, Francesca Hose-Berte Marketing Consultant at Apteco, Rob Jones Director at Qbase
Implementing data driven marketing techniques and methodologies is the dream of many advanced, forward thinking marketing pioneers. Attempting to tackle big data sets to perform sophisticated analyses that power data driven marketing can be very daunting. But why are so many businesses investing in data driven marketing? What is it they are trying to achieve?
In this webinar we will discuss the reasons why organisations see data driven marketing as the future for their businesses. We will examine what they are using it to achieve and how they are achieving it. In addition we will look at what companies need to successfully implement data driven marketing techniques and methodologies for their businesses and, discuss real-world examples of organisations who have done it.
The session will be hosted by John Sweeney, Sales and Marketing Director at Qbase, with panelists including Francesca Hose-Berte, Business Development and Marketing Consultant at Apteco, and Rob Jones, Head of Delivery at Qbase, who will field questions and share their knowledge and expertise with attendees.
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?
Ani Manian, Senior Manager, Product Strategy, Sisense
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, Senior Manager 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
Join this webinar where we will cover some of the features and ideas for ensuring data accuracy, which is vital for business users. We will also discuss the forthcoming EU privacy regulations and how to make sure your setup is ready for this shift (GDPR comes into force in 2018).
Finally, we will present some ideas on whether to use a ready off-the-shelf solution or invest in creating your own. Its seems that the whole build vs rent discussion has reached the tipping point this year and there may be some surprising answers.
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.
A Case Study presented by Kurt Jackson, Platform Lead, Autodesk
Companies such as Autodesk are fast replacing the once-true- and-tried physical data warehouses with logical data warehouses/ data lakes. Why? Because they are able to accomplish the same results in 1/6 th of the time and with 1/4 th of the resources.
In this webinar, Autodesk’s Platform Lead, Kurt Jackson,, will describe how they designed a modern fast data architecture as a single unified logical data warehouse/ data lake using data virtualization and contemporary big data analytics like Spark.
Logical data warehouse / data lake is a virtual abstraction layer over the physical data warehouse, big data repositories, cloud, and other enterprise applications. It unifies both structured and unstructured data in real-time to power analytical and operational use cases.
Attend and Learn:
-Why logical data warehouse/ data lakes are the bedrock of modern data architecture
-How you can build a logical data warehouse using data virtualization
-How to create a single, unified enterprise-wide access and governance point for any data used within the company
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.
Everyone loves to visualize data, but sometimes data visualizations are the wrong tools for the job. Learn to avoid common pitfalls and see how to make fast, easy, and accurate data visualizations part of your analytics mix, so everyone can make informed decisions.
Brad Peters, Birst Founder and Chief Product Officer, and Raymie Stata, Founder and CEO Altiscale
Building your Next Generation Data Architecture, a webinar co-hosted by Birst and Altiscale. Featuring Brad Peters, Birst Founder and Chief Product Officer, and Raymie Stata, Founder and CEO Altiscale, you’ll hear examples of how customers have operationalised Hadoop in the enterprise, overcoming major obstacles to make data in Hadoop available to broad sets of users across their companies.
This webinar reveals:
· How organisations are transitioning to the next generation data architecture
· Recommendations for how IT organizations can maximise the value of their existing data architectures
· How to overcome hurdles when operationalising Hadoop in the enterprise
Lesley-Anne Wilson, Group Product Rollout & Support Engineer, Digicel Group
Many studies have been done on the benefits of Predictive Analytics on customer engagement in order to change customer behaviour. However, the side less romanticized is the benefit to IT operations as it is sometimes difficult to turn the focus from direct revenue impacting gain to the more indirect revenue gains that can come from optimization and pro-active issue resolution.
I will be speaking, from an application operations engineers perspective, on the benefits to the business of using Predictive Analytics to optimize applications.
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), Ravi Kalakota (LiquidHub)
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?
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.
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.
Bots are more than just trendy. They’re increasingly becoming a smart business decision and one that more than just the big players are sitting up and noticing. From Foursquare’s Marsbot (eatery recommendations) to Uber (rides) to the many bots that plug in to Slack, it’s clear there is both a B2B and B2C purpose for bots.
For Activision, using bots via Facebook to announce this year’s Call of Duty: Infinite Warfare release to consumers netted them over 6 million messages between users. The beauty of bots, as Activision and others have discovered, is that they allow businesses greater access to increasingly mobile messaging consumers. Facebook is investing fully in the chatbot experience with brands including Staples, Bank of America, and Taco Bell.
For both consumer brands and B2B companies, the time is now to consider the implications of bots for the bottom line.
Join this panel of executive leaders as they discuss the use cases for bots for consumers and between businesses, including:
• Elements of a successful bot strategy
• Where consumers prefer to interact with bots
* In-depth discussion of the B2B use cases for bots
* Amir Shevat, Head of Developer Relations, Slack
* Robert Hoffer, "The Bot Father"
• Jon Cifuentes, Analyst, VentureBeat
• Wendy Schuchart, Moderator, VentureBeat
Find out about how organizations can dramatically lower storage infrastructure costs by deploying a cloud-based object storage solution.
Led by Google executives, Brian Stevens and Carl Schachter, this webcast will discuss:
●The benefits of using cloud as another storage tier?
●When to consider Cloud Storage (GCS) for secondary storage
●How to potentially use Cloud (Google Compute Engine) for Disaster Recovery
●Potential issues with bandwidth, recovery time, cost, security and usability
Google Cloud Storage Nearline is a low-cost, highly-durable and highly available storage service for infrequently accessed data, data archiving, online backup and disaster recovery. Data is available instantly, not within hours or days. With sub-second average response times and 1 cent per GB/month pricing, Cloud Storage Nearline gives you terrific performance at a low cost.
Tune in for the latest in our Ask the Experts Series! This session is all-about-Azure: cloud computing and PaaS for the enterprise. During this session we will show you how and why to use the benefit/credit that comes with your Visual Studio Subscription.
In this webcast, you will learn:
- About other available Azure programs
- Application development tests on Azure
- What other customers are doing on Azure and how it is paying large dividends
Your website is probably one of – if not the – primary revenue drivers in your company. But do you know what’s really happening to your visitors? If you have third party components on your site, how do you manage the risk and the ROI of the tools provided by these parties?
Join the discussion with Web Performance experts: Scott D. Lowe & Buddy Brewer, SVP of Products at SOASTA, to get a better understanding of the impact 3rd party scripts can have on your site. We will be joined by Jason Trester, CBS Interactive’s Senior Director of Site Engineering. Jason will share with the audience his experience with SOASTA and how it’s transformed their audience experience.
Become a cloud-first company on your terms with hybrid cloud data management. Join us to learn how you can use Informatica Cloud or leverage your existing PowerCenter investment to redirect workloads and run on Microsoft Azure public cloud eco-system. You will learn how your organization can benefit from cloud economics and improved agility, while continuing to leverage existing PowerCenter resources, skills and work-products. Gain insight into the products and connectors available to run Informatica on Azure. Hear how Life Time Fitness is using Informatica Cloud and PowerCenter running on Microsoft Azure to drive customer intimacy and improve operational efficiency.
Traditional business reporting is often one-size-fits-all. It rarely provides the targeted analytic content required by different decision-makers with unique informational needs. Business leaders need more than just accurate and timely reporting—they need data-driven analytic context. In this webinar, we’ll examine how organizations can benefit from modern BI tools that feature advanced, customizable reporting capabilities (smart infographics, dynamic text, and more) that automatically deliver contextualized analytic content for specific users. Examples will be demonstrated using Pyramid Analytics’ BI Office.
Big Data and Apache™ Hadoop® are driving tectonic shifts in enterprise data management (EDM) within the financial services industry. Open Enterprise Hadoop and the vendor ecosystem growing up around it are consolidating and standardizing data architectures at the leading financial institutions around the world—transforming expensive, inflexible, and proprietary data landscapes into economic, agile, open source data environments.
You can read more about these transformations in this blog.
Please join Vamsi Chemitiganti, General Manager of Financial Services at Hortonworks, for an August 30th webinar where he talks about these transformations in the context of financial risk data aggregation and reporting.
-Learn how to leverage Connected Data Platforms--Hortonworks Data Platform (HDP) and Hortonworks Data Flow (HDF)--to accurately, completely, and timely aggregate your financial risk data.
-Learn how to build an agile data architecture capable of navigating regulatory changes more quickly than your competition, while simultaneously giving you deeper insight into the fabric of your business.
Is automation anxiety a 'thing'? Or is it just a buzzword?
EM360° talks to Parker Software's Technical Manager, Daniel Horton to find out what this term is all about and whether there really is anything to panic about.