Today’s customers expect personalized experiences and there are a plethora of available martech solutions that claim to have the tools to help. And while marketers are able to collect a mass amount of data, it’s becoming increasingly challenging to be able to act on that data, and have one, central repository to be able to make informed decisions and drive more meaningful customer experiences.
A new martech solution has recently appeared into the space that does just that - the Customer Data Platform (CDP). In this webcast, you can expect to learn:
- How these purpose-built products assemble and distribute customer data
- Why CDPs are faster, easier to use, cheaper and more flexible than other solutions
- What problems a CDP can help the marketer solve
- The key ways to using a CDP in driving a business’s digital transformation
David Raab, Founder of the Customer Data Platform Institute
Adam Corey, VP of Marketing at Tealium
Learn about the advantages that come with bringing your data onto one platform in this on-demand webinar, and get a glimpse into Periscope Data’s vision for a unified data platform.Read more >
The Under Armour built the world's most comprehensive health and wellness application: the Connected Fitness Data Platform. It consists of event streaming pipelines and processing using big data technologies like Hive, Presto and Spark to derive the insights needed to keep their users fit and healthy. Discover their step by step process.Read more >
There was a time when the Enterprise Data Warehouse (EDW) was the only way to provide a 360-degree analytical view of the business. In recent years many organizations have deployed disparate analytics alternatives to the EDW, including: cloud data warehouses, machine learning frameworks, graph databases, geospatial tools, and other technologies. Often these new deployments have resulted in the creation of analytical silos that are too complex to integrate, seriously limiting global insights and innovation.
Join guest speaker, 451 Research’s Jim Curtis and Pivotal’s Jacque Istok for an interactive discussion about some of the overarching trends affecting the data warehousing market, as well as how to build a next generation data platform to accelerate business innovation. During this webinar you will learn:
- The significance of a multi-cloud, infrastructure-agnostic analytics
- What is working and what isn’t, when it comes to analytics integration
- The importance of seamlessly integrating all your analytics in one platform
- How to innovate faster, taking advantage of open source and agile software
We look forward to you joining us.
The Pivotal Team
Today, big data is enabling the advanced analytics that companies have dreamed of for driving their business. And as forward-thinking companies take advantage of big data and advanced analytics to drive digital transformation initiatives, it is forcing the laggards to realize that they will have to do the same if they want to survive.
The generally accepted architectural model for harnessing big data is a data lake. But data lakes, if leveraged simply as cheap storage within which to dump data, will inevitably disappoint. As the saying goes, garbage in, garbage out. Data lakes present unique challenges that must be dealt with if that big data set is going to be turned into actionable information.
So what does it take to succeed with a data lake? Why do some organizations get real value out of big data, while others struggle?
In this webinar, Matt Aslett, Research Director of Data Platform and Analytics at 451 Research and Kelly Schupp, VP of Data-driven Marketing at Zaloni, will discuss ideal data lake use cases such as Customer 360 and IoT. They will also discuss Zaloni’s data lake maturity model with which the data-eager company can chart its ideal course and roadmap.
As big data has exploded, the ability for companies to easily leverage it has imploded. Organizations are drowning in their own information, unable to see the forest through the trees, while the big players consistently outperform in their ability to deliver a great customer experience, faster, cheaper…As a result, the vast majority of companies are scrambling to catch up and become more agile, data-driven, to use their data more effectively so they can attract and retain their elusive customers...
Join 451 Research and Treasure Data to learn how to enable your line of business team to own their own data (instead of relying on IT) to be able to:
- deliver a single, persistent view of your customer based on behavior data
- make that data accessible to the right people at the right time
- Increase organizational effectiveness by (finally) breaking down silos with data
- enable powerful marketing tools to enhance the customer experience
Today's enterprises need broader access to data for a wider array of use cases to derive more value from data and get to business insights faster. However, it is critical that companies also ensure the proper controls are in place to safeguard data privacy and comply with regulatory requirements.
What does this look like? What are best practices to create a modern, scalable data infrastructure that can support this business challenge?
Zaloni partnered with industry-leading insurance company AIG to implement a data lake to tackle this very problem successfully. During this webcast, AIG's VP of Global Data Platforms, Carlos Matos, and Zaloni CEO, Ben Sharma will share insights from their real-world experience and discuss:
- Best practices for architecture, technology, data management and governance to enable centralized data services
- How to address lineage, data quality and privacy and security, and data lifecycle management
- Strategies for developing an enterprise-wide data lake service for advanced analytics that can bridge the gaps between different lines of business, financial systems and drive shared data insights across the organization
With new technologies such as Hive LLAP or Spark SQL, do you still need a data warehouse or can you just put everything in a data lake and report off of that? No! In the presentation, James will discuss why you still need a relational data warehouse and how to use a data lake and an RDBMS data warehouse to get the best of both worlds.
James will go into detail on the characteristics of a data lake and its benefits and why you still need data governance tasks in a data lake. He'll also discuss using Hadoop as the data lake, data virtualization, and the need for OLAP in a big data solution, and he will put it all together by showing common big data architectures.
The idea of the data lake was alluring; the means to having data at your fingertips, filtered, profiled, secure and business-ready for data consumers to rapidly derive higher-levels of business value. However, this widely adopted concept didn’t come with an instruction manual.
The past few years have been turbulent times for enterprise data and analytics. In this live discussion, the presenters look beyond the lake, discussing the combination of self-service data preparation and data management and governance as one; a truly functional data marketplace or “data bazaar”. In addition, they will touch on other key enablers fueling the adoption of the self-service marketplace, including;
•Data as a service,
•Smart data ingestion – validation/profiling,
•Smart data cataloging/search,
Paul Bruton discusses the move to a holistic approach to next gen data management. Looking at digital transformation strategies, he explains how Hitachi Vantara’s object storage can address common challenges - from cloud complexity to data governance and compliance - with its advanced custom metadata architecture to make data more intelligent.Read more >
An overview of Customer Data Platforms (CDP) with the industry leader who coined the term, David Raab. Find out how to use Live Customer Data to create a better customer experience and how Live Data Management can give you a competitive edge with a 360 degree view of your clients.
- The definition and requirements for Customer Data Platforms
- The differences between Customer Data Platforms and comparative technologies such as Data Warehousing and Marketing Automation
- Reference architectures/approaches to building CDP
- How Treasure Data is used to build Customer Data Platforms
And here's the song: https://youtu.be/RalMozVq55A
Transactional applications and high speed analytics have previously been reserved for in memory applications but recent advancements in solid state technology and active data infrastructure have delivered performance that remove I/O wait times that are prevalent with the current generation of all flash arrays. Attend this webinar to learn more about how Vexata delivers solutions that unlock application performance to deliver strategic business outcomes.Read more >
A global telecoms company ingests 300 million customer records in < 1.5 minutes today. A mid-size firm handles 3.7 billion transactions annually. With Big Data analytics at the heart of all these systems-driving transformation, innovation and new customer insights-these projects include massive quantities of sensitive data that flow across multiple systems. Adding to the complexity of securing your data, these systems are spread across multiple data centers, on premise, and in the cloud. Join HPe Security - Data Security and (ISC)2 on July 19, 2016 at 1:00PM Eastern to understand how enterprises can leverage end-to-end data-centric protection in conjunction with their Big Data systems and view a technical deep dive into how enterprises can gain Big Data Insights - without the risk.Read more >
With the growing number of data-driven organizations new approaches are needed to drive innovation in scaling and implementing data science. We will discuss how data and data science platforms take advantage of what we are calling DataOps. We will share background on this approach and how it supports putting data science models into production. We will provide best practices and a roadmap on how to implement these techniques to become a leader in machine learning and data science.
Watch the recording of this complimentary webinar with experts from DataScience.com & MapR to:
Learn about the benefits of applying a DataOps approach to your data science workflow
Review best practices for how IT teams can support their data science teams
Hear how customers of MapR and DataScience.com have reaped the benefits of this new approach.
In this 30-minute demo webinar, you will learn about how Periscope Data’s Unified Data Platform can help you:
- Unify your teams — from business, analysts, and engineers under a single end-to-end platform
- Accelerate your analytics — by connecting directly to your data sources, blending them, and delivering actionable charts and dashboards, no modeling required
- Uncover true insights — by enabling powerful and flexible ad hoc analysis with a single solution
- Share your insights anytime, anywhere — with live dashboards, reports, or embedded charts
- Know your data is secure and up-to-date with our best-in-class security and 99.9% uptime.
Matt Aslett discusses the emergence and growth of hybrid data management. Enterprises store data in forms that are suited to OLTP and Analytic uses. Hybrid data management combines both uses into a single DBMS.Read more >
Companies with multiple products often struggle to calculate accurate Customer Lifetime Value (CLTV) across their portfolio. This is because user data is often analyzed in silos so companies are unable to get a clear picture of ROI and CLTV across platforms, devices and apps.
In this webinar we’ll look at how you can apply a holistic and complete approach to your CLTV and ROI through the lens of gaming companies, though this technique is applicable for any company who has products spanning platforms.
We’ll also explore:
How the integral power of data in business has shifted over the past 10 years.
Discover the current technologies and processes used to analyze data across different platforms by combining multiple data streams, looking at examples in brand and portfolio-based LTV.
How to process and centralize dozens of varying data streams.
Nicolas Nadeau will speak from his extensive experience and show how leveraging data from multiple product strategies spanning many platforms can be highly beneficial for your company.
Data Management Platforms (DMPs) have helped marketers improve digital advertising in the last 10 years by providing easy access to 3rd party global audience segments, but smart marketers have realized that this isn’t enough.
Modern marketers are now looking for ways to incorporate 1st party data into their entire marketing strategy but the problem is that this data is frequently siloed and challenging to access/analyze fast enough to keep up with market demands.
The solution is a Customer Data Platform (CDP) which is a new system - recently recognized by Gartner - that works in harmony with existing marketing technology to connect internal 1st party data, with external 2nd or 3rd party data.
Join us for our webinar and you will learn:
- How to leverage your most valuable asset - 1st party data - to maximize your programmatic advertising impact.
- The common pitfalls of working only with 2nd and 3rd party data
- Gain a deep understanding why it’s crucial to unify 1st party data for holistic customer insights as well as activation.
- Why a Customer Data Platform is essential to integrate 1st party data with your Data Management Platform.
Do you need to combine data from multiple sources to get business insights? Do you know if the data you rely on is always accurate and up-to-date? Do you want to have insights quicker to meet business needs? Do you rather spend time on strategic tasks than maintaining the data warehouse?
Crunchbase also experienced these pain points. With over 31 million visitors to their website each year, Crunchbase collects and uses an incredible amount of data, and therefore needs a powerful analytics platform to aggregate all the data to ask the right questions. Since deploying Periscope Data Warehouse, Crunchbase was able to take their analytics to the next level by allowing them to leverage all their data — from their marketing stack to Salesforce to website impression data — and to build a comprehensive view of their business and customers.
Join Ryan Seagar, Head of Sales Engineering of Periscope Data, as he presents a live 30-minute demo and the Crunchbase case study on how Periscope Data Warehouse enables data teams streamline their entire analytics workflow — from data ingestion to analysis and reporting, offloading the mundane maintenance tasks while still maintaining full control and visibility .
Do you know what your top ten 'happy' customers look like? Would you like to find ten more just like them? Come learn how to leverage 1st & 3rd party data to map your customer journey and drive users down a path where every interaction is personalized, fun, & data-driven. No more detractors, power your Customer Experience with data!
In this webinar you will learn:
-When, why, and how to leverage 1st, 2nd, and 3rd party data
-Tips & Tricks for marketers to become more data driven when launching their campaigns
-Why all marketers needs a 360 degree customer view
This is the age of data science. We have more data, computing power and software packages than ever before, and we’re driving real value with data science. But challenges remain: fragmented and dirty data, collaboration issues, and long project cycle times.
Keys to success: a ‘data-first’ approach, enabling collaboration, and a focus on prediction. Cloudera Data Science delivers the unified platform you need for rapid time to value with the most advanced machine learning techniques, including deep learning.
Machine learning (ML) and artificial intelligence (AI) enable intelligent processes that can autonomously make decisions in real-time. The real challenge for effective ML and AI is getting all relevant data to a converged data platform in real-time, where it can be processed using modern technologies and integrated into any downstream systems.
Running a business in real-time means being able to react to important business events as they happen. Applications that support day-to-day operations, however, are often scattered across the organization making it difficult to enable real-time movement of data.
In this session, MapR and StreamSets discussed how change data capture (CDC) can be used to enable real-time workloads to drive success with ML and AI. You’ll see demonstrations of technologies that enable CDC, and specifically learn how to:
Utilize change data capture (CDC) for efficient real-time data movement & processing
Connect your databases, data warehouses, and data lakes without code
Use MapR-DB as both source and destination for change data capture
Any business looking to drive exceptional customer experiences is most likely leveraging a variety of digital marketing tools that could include an Email Service Provider (ESP), big data analytics tools, CRM systems, data warehouses, tag management systems, DMPs or mobile SDK managers and more. The hope is that these tools will seamlessly sync together to become the solid foundation needed to run powerhouse marketing campaigns, be able to extract important insights from data and ultimately create more relevant and real-time moments with their audiences.
Customer Data Platforms (or CDPs) are quickly rising to the top of the martech solution as a tool businesses are using to house all of their data coming in from multiple channels to transform the customer experience. And while there seems to be no shortage of vendors to choose from - many are left wondering how to determine which system is best for them? And how do CDP’s differ from one another? Do they all meet the same outcome? And what’s the best approach to take in choosing one?
Join this 30-minute webcast and learn:
- 4 main types of CDP’s and the problem each solves
- How to select the best CDP for your organization
- 5 key things that you will want in your CDP
- And so much more