Data is becoming more integral in day-to-day operations, but many organizations cannot stop seeing their data as a challenge and start leveraging it as a strategic asset. Experian Data Quality recently conducted a study of more than 250 CIOs and CDOs in the U.S. and this webinar will discuss some of the key findings of our research.
On Tuesday, August 18th, we discussed how data is an untapped resource at most organizations, the emergence of the Chief Data Officer role, and how to ensure your organization is ready for the shift that this new role brings.
Key takeaways included:
- Tips for overcoming typical data challenges within your organization
- The rise of data management and how it is affecting the CIO role
- The new and growing need for a Chief Data Officer
During the Chief Data Officer Exchange event in London, Denodo discussed the different ways in which data virtualization can help businesses. In this presentation, our guest speaker Simon Gratton (Deloitte UK), provides information about the emerging approaches to achieving agile data delivery and the cultural issues that stand in our way.
Chief Data Officer: DataOps - Transformation of the Business Data EnvironmentCraig Milroy
Data is now not only considered as an Asset for Competitive Advantage; but now a Strategic Asset for Competitive Survival. ..
The Chief Data Officer will lead the transformation of the Business Data Environment to enable DataOps. . .
Leveraging DataOps will enable the timely creation of “Data Products” for the Enterprise. .
Chief Data Officer: Overcoming Data Silos for True Business ValueCraig Milroy
Existing data silos are commonly viewed as a technology problem due to architecture, software, and hardware problems; however this problem cannot be solved by technology alone. Business engagement and support in conjunction with an enterprise approach for data availability, data sharing, and data usage are required to address the proliferation of data silos within an organization.
Data silos are created out of necessity to solve specific business problems in absence of formal enterprise architecture, data handling policies, data governance and other data-centric oversight challenges within an organization.
Customer, marketing, compliance, risk, finance and other corporate functions generate volumes of overlapping data, often with minimal consideration or understanding of tomorrow’s data volume growth.
Business’ that understand the opportunities within concepts such as Internet of Things, mobile, location, context, as well as the introduction of other unstructured open data sets, have an ability to create a competitive advantage within their target market.
These businesses are building out the office of the Chief Data Officer (CDO) to enable an effective business technology response.
During the Chief Data Officer Exchange event in London, Denodo discussed the different ways in which data virtualization can help businesses. In this presentation, our guest speaker Simon Gratton (Deloitte UK), provides information about the emerging approaches to achieving agile data delivery and the cultural issues that stand in our way.
Chief Data Officer: DataOps - Transformation of the Business Data EnvironmentCraig Milroy
Data is now not only considered as an Asset for Competitive Advantage; but now a Strategic Asset for Competitive Survival. ..
The Chief Data Officer will lead the transformation of the Business Data Environment to enable DataOps. . .
Leveraging DataOps will enable the timely creation of “Data Products” for the Enterprise. .
Chief Data Officer: Overcoming Data Silos for True Business ValueCraig Milroy
Existing data silos are commonly viewed as a technology problem due to architecture, software, and hardware problems; however this problem cannot be solved by technology alone. Business engagement and support in conjunction with an enterprise approach for data availability, data sharing, and data usage are required to address the proliferation of data silos within an organization.
Data silos are created out of necessity to solve specific business problems in absence of formal enterprise architecture, data handling policies, data governance and other data-centric oversight challenges within an organization.
Customer, marketing, compliance, risk, finance and other corporate functions generate volumes of overlapping data, often with minimal consideration or understanding of tomorrow’s data volume growth.
Business’ that understand the opportunities within concepts such as Internet of Things, mobile, location, context, as well as the introduction of other unstructured open data sets, have an ability to create a competitive advantage within their target market.
These businesses are building out the office of the Chief Data Officer (CDO) to enable an effective business technology response.
Does your organization need a Chief Data Officer (CDO) ?Mario Faria
A question that will have one answer : it depends ! It depends on your company maturity level and how upper management will support it. This is material I presented at meeting organized by PointB, an strategic consulting company for the data leaders of the Seattle area in Aug-2013
Slides: Applying Artificial Intelligence (AI) in All the Right Places in the ...DATAVERSITY
Data and Analytics are fundamental to digital transformation, yet many companies are still under-utilizing them. To go full throttle, AI and automation technologies can be added across the full spectrum of your data journey to truly re-imagine processes and business models.
Join Information Builders for this webinar on how AI:
• Augments your traditional business intelligence and analytics systems
• Minimizes manual inefficiencies with the way data is generated, collected, cleansed, and organized
• Helps you realize substantial performance gains with use cases such as churn forecasting, predictive maintenance, supply chain planning, risk mitigation, and more
Analytics is all about course correcting the future. While this starts with accurate predictions of the future, without resultant actions steering the future toward company goals, knowing that future is academic. Successful companies must be grounded in successful data-based prescription. In this webinar, William will present a data maturity model with a focus on how analytic competitors outdo the competition by looking forward to a data-influenced future.
Confessions of a CDO - The Evolving Role of the Chief Data OfficerDATAVERSITY
As organizations continue to embrace digital transformation, they are looking to their data to power these initiatives. The chief data officer (CDO) is quickly emerging as an integral role in ensuring this process runs smoothly. While the role is relatively new to many organizations, the value a CDO adds is widely acknowledged by other C-level executives. In fact, 82% of CIOs believe there is a compelling case to hire a CDO in most organizations today.
Yet, not all CDOs are set up for success equally. Less than half of CDOs are given a clear remit or objective when they join an organization. For many of them, they’re pioneering their role as they go along. In order for businesses to become data-driven, they need to empower their CDO to ensure quality information that can be used in a meaningful way throughout the organization.
Join us for an informational webinar in which we’ll share our findings from more than 50 CDO interviews. We’ll discuss how the role has changed over the last several years, and how the realities of the position may differ from the expectations set forth. Other topics will include:
A snapshot of the average CDO
Core responsibilities of the CDO
The CDO’s reporting structure
The relationship between the CDO and CIO
Noise to Signal - The Biggest Problem in DataDATAVERSITY
Our ability to produce, ingest and store data has grown exponentially, but our ability to parse out insights from data has not. In the 90s, an organization’s data would live in a data warehouse with an ETL pipeline and one reporting layer on top. Information was well controlled if not somewhat limited in breadth and slow to trickle down. Now with the onset of self-service analytics, anyone can create a report and an insight and there are many different sources of “truth.” For example, a seemingly straightforward question like "how many customers do we have?" will likely return difference answers from sales, finance and customer success, depending on their definitions and the data at hand. There is simply too much data (and duplicate data), too many tools, and too many systems storing data -- leading to time consuming searches, confusion and a lack of trust. Hear Stephanie discuss how a data catalog can help solve the noise to signal problem - making information easier to find, easier to understand and more trustworthy. She will describe how organizations like Safeway, Albertsons, Munich Re and Pfizer leverage a data catalog to find data and collaborate on data, gain a fuller understanding of its meaning and ultimately, solve important problems.
3 Strategies to drive more data driven outcomes in financial servicesTamrMarketing
What are the main obstacles in the way of successful digital transformations within large financial organizations?
Read the blog and watch the full webinar here >> https://www.tamr.com/blog/webinar-3-strategies-to-drive-more-data-driven-outcomes-in-financial-services/
How to Implement a Spend Analytics Program Using Machine LearningTamrMarketing
Inaccurate data compromises your ability to negotiate your direct spend with suppliers. Costing your company millions of dollars in savings opportunities and potentially causing damaging delays in your time to market.
See the full presentation: https://resources.tamr.com/spend-analytics-webinar
Accelerate Your Move to the Cloud with Data Catalogs and GovernanceDATAVERSITY
As more data is migrating to the cloud, whether to increase efficiencies or take advantage of new capabilities like AI and machine learning tools, organizations are challenged on how to do so in a consumable, trusted fashion. Join us for this webcast and hear how enterprises are using data catalogs to unify approaches across their cloud and on-premises worlds, and prioritize which data assets should be moved to cloud, resulting in a more consumable and trusted data lake and ecosystem.
Breakthrough experiments in data science: Practical lessons for successAmanda Sirianni
Leading firms are integrating data science capabilities within their organizations to capture the untapped potential of data science as a source for competitive advantage. Yet, many enterprises are challenged to successfully integrate these capabilities for sustained value and to measure its worth for the organization. This analytics study conducted by the IBM Center for Applied Insights uses practical advice from those seeing the benefits to establish a proven success formula for integrating a data science capability within your organization.
To learn more: www.ibm.com/ibmcai/data-science
Slides: Achieving a “Single Source of Truth” with BI in Your EnterpriseDATAVERSITY
The ability to drive consistent use and widespread adoption of Business Intelligence is an ongoing challenge for many companies, and the inability to achieve this consistency and uniform adoption can significantly impede their progress in becoming information and data-driven organizations. Departmental siloes, tool proliferation, end-user Data Literacy, and other challenges too often produce an environment in which a shared, common understanding of the organization’s key performance indicators fail to materialize. In addition, metrics and measurements — the much-discussed “single-source-of-truth” — often fail to take shape, which in turn leads to competing versions of the truth, a lack of trust in available decision-making data, and degradation in decision-making speed and effectiveness.
In this webinar, we will:
• Explore the underlying conditions that lead to the challenges of driving consistent and company-wide adoption of Business Intelligence
• Examine case studies of companies that have successfully solved these challenges
• Suggest solutions to the issues preventing organizations from building the necessary but elusive “Single Source of Truth”
Accelerate Your Move to the Cloud with Data Catalogs and GovernanceDATAVERSITY
As more data is migrating to the cloud, whether to increase efficiencies or take advantage of new capabilities like AI and machine learning tools, organizations are challenged on how to do so in a consumable, trusted fashion. Join us for this webcast and hear how enterprises are using data catalogs to unify approaches across their cloud and on-premises worlds, and prioritize which data assets should be moved to cloud, resulting in a more consumable and trusted data lake and ecosystem.
The Chief Data Officer - quotes from data & analytics thought leadersMario Faria
Data & Analytics have become so important on how business are differentiating themselves in the marketplace. With the help from the most well recognized data leaders of our time, I have put together their thoughts in this material. By sharing our thinking, we want companies to understand what it takes to become a data-driven organization.
Big Data has moved beyond being just a buzzword. Organizations are operationalizing various Big Data technologies to answer critical business questions and power sophisticated workloads.
Building on the success of their 2012 “Big Data Comes of Age” research report, EMA VP of Research, Shawn Rogers, EMA Senior Analyst, John Myers, and 9sight Consulting Founder and Principal, Dr. Barry Devlin, will reveal their latest big data research findings during this informative Webinar.
Attendees will learn not just the what's of Big Data technologies but also the why’s of use cases, implementation strategies and technology choices, as well as discover:
>>Most popular use cases for big data based on nearly 600 projects reviewed in this research
>>Which Hadoop distributions are gaining traction
>>The technical and business-driven-challenges for Big Data
>>Most popular data sources for Big Data
>>How organizations are continuing the trend of implementing the EMA Hybrid Data Ecosystem (HDE) in association with their Big Data initiatives
Building an Effective Data Management StrategyHarley Capewell
In June 2013, Experian hosted a Data
Management Summit in London, with over
100 delegates from the public, private and
third sectors. Speakers from Experian
and across the data industry explored the
challenges of developing and implementing
data quality strategies - and how to
overcome them. Read on for more information.
Bridging the Data Divide: Driving Data and Analytics Projects Forward with Tr...Precisely
There’s no debate that data is the most valuable strategic asset available to your business today. According to ‘Voice of the Enterprise: Data Management and Analytics 2020’ by 451 Research, 63% of enterprises use data to drive nearly all or most of their strategic decisions.
Join Amy O’Connor, Precisely Chief Data and Information Officer, and Paige Bartley, 451 Research Senior Research Analyst for Data, AI, and Analytics as Paige shares the latest research on data and analytics drawn from surveys of business and technology decision-makers and chats with Amy about her experience implementing Precisely products to ensure data integrity and fuel the company’s data-driven business model.
View this on-demand webinar to hear Amy and Paige share their perspectives on key points from the research, including how:
• Only 25% of respondents rate more than 80% of their recent data and analytics initiatives as successful
• 78% of those most successful with data and analytics initiatives are using or considering using technologies to accelerate the analysis of distributed data
• 24% of respondents are investing in programs that increase trust in data by improving accuracy, quality, lineage and/or governance to improve their data culture
Chief Data & Analytics Officer - who are these new kids on the C-Suite block ?Mario Faria
In the last 12 months, 70% of all the Chief Data Officers in USA were hired. CDOs are the new breed of professionals coming to the C-Suite. They are responsible for handling data as a key strategic asset. In this material, you will be able to understand how they work and what is required to be one successful Chief Data & Analytics Officer
Does your organization need a Chief Data Officer (CDO) ?Mario Faria
A question that will have one answer : it depends ! It depends on your company maturity level and how upper management will support it. This is material I presented at meeting organized by PointB, an strategic consulting company for the data leaders of the Seattle area in Aug-2013
Slides: Applying Artificial Intelligence (AI) in All the Right Places in the ...DATAVERSITY
Data and Analytics are fundamental to digital transformation, yet many companies are still under-utilizing them. To go full throttle, AI and automation technologies can be added across the full spectrum of your data journey to truly re-imagine processes and business models.
Join Information Builders for this webinar on how AI:
• Augments your traditional business intelligence and analytics systems
• Minimizes manual inefficiencies with the way data is generated, collected, cleansed, and organized
• Helps you realize substantial performance gains with use cases such as churn forecasting, predictive maintenance, supply chain planning, risk mitigation, and more
Analytics is all about course correcting the future. While this starts with accurate predictions of the future, without resultant actions steering the future toward company goals, knowing that future is academic. Successful companies must be grounded in successful data-based prescription. In this webinar, William will present a data maturity model with a focus on how analytic competitors outdo the competition by looking forward to a data-influenced future.
Confessions of a CDO - The Evolving Role of the Chief Data OfficerDATAVERSITY
As organizations continue to embrace digital transformation, they are looking to their data to power these initiatives. The chief data officer (CDO) is quickly emerging as an integral role in ensuring this process runs smoothly. While the role is relatively new to many organizations, the value a CDO adds is widely acknowledged by other C-level executives. In fact, 82% of CIOs believe there is a compelling case to hire a CDO in most organizations today.
Yet, not all CDOs are set up for success equally. Less than half of CDOs are given a clear remit or objective when they join an organization. For many of them, they’re pioneering their role as they go along. In order for businesses to become data-driven, they need to empower their CDO to ensure quality information that can be used in a meaningful way throughout the organization.
Join us for an informational webinar in which we’ll share our findings from more than 50 CDO interviews. We’ll discuss how the role has changed over the last several years, and how the realities of the position may differ from the expectations set forth. Other topics will include:
A snapshot of the average CDO
Core responsibilities of the CDO
The CDO’s reporting structure
The relationship between the CDO and CIO
Noise to Signal - The Biggest Problem in DataDATAVERSITY
Our ability to produce, ingest and store data has grown exponentially, but our ability to parse out insights from data has not. In the 90s, an organization’s data would live in a data warehouse with an ETL pipeline and one reporting layer on top. Information was well controlled if not somewhat limited in breadth and slow to trickle down. Now with the onset of self-service analytics, anyone can create a report and an insight and there are many different sources of “truth.” For example, a seemingly straightforward question like "how many customers do we have?" will likely return difference answers from sales, finance and customer success, depending on their definitions and the data at hand. There is simply too much data (and duplicate data), too many tools, and too many systems storing data -- leading to time consuming searches, confusion and a lack of trust. Hear Stephanie discuss how a data catalog can help solve the noise to signal problem - making information easier to find, easier to understand and more trustworthy. She will describe how organizations like Safeway, Albertsons, Munich Re and Pfizer leverage a data catalog to find data and collaborate on data, gain a fuller understanding of its meaning and ultimately, solve important problems.
3 Strategies to drive more data driven outcomes in financial servicesTamrMarketing
What are the main obstacles in the way of successful digital transformations within large financial organizations?
Read the blog and watch the full webinar here >> https://www.tamr.com/blog/webinar-3-strategies-to-drive-more-data-driven-outcomes-in-financial-services/
How to Implement a Spend Analytics Program Using Machine LearningTamrMarketing
Inaccurate data compromises your ability to negotiate your direct spend with suppliers. Costing your company millions of dollars in savings opportunities and potentially causing damaging delays in your time to market.
See the full presentation: https://resources.tamr.com/spend-analytics-webinar
Accelerate Your Move to the Cloud with Data Catalogs and GovernanceDATAVERSITY
As more data is migrating to the cloud, whether to increase efficiencies or take advantage of new capabilities like AI and machine learning tools, organizations are challenged on how to do so in a consumable, trusted fashion. Join us for this webcast and hear how enterprises are using data catalogs to unify approaches across their cloud and on-premises worlds, and prioritize which data assets should be moved to cloud, resulting in a more consumable and trusted data lake and ecosystem.
Breakthrough experiments in data science: Practical lessons for successAmanda Sirianni
Leading firms are integrating data science capabilities within their organizations to capture the untapped potential of data science as a source for competitive advantage. Yet, many enterprises are challenged to successfully integrate these capabilities for sustained value and to measure its worth for the organization. This analytics study conducted by the IBM Center for Applied Insights uses practical advice from those seeing the benefits to establish a proven success formula for integrating a data science capability within your organization.
To learn more: www.ibm.com/ibmcai/data-science
Slides: Achieving a “Single Source of Truth” with BI in Your EnterpriseDATAVERSITY
The ability to drive consistent use and widespread adoption of Business Intelligence is an ongoing challenge for many companies, and the inability to achieve this consistency and uniform adoption can significantly impede their progress in becoming information and data-driven organizations. Departmental siloes, tool proliferation, end-user Data Literacy, and other challenges too often produce an environment in which a shared, common understanding of the organization’s key performance indicators fail to materialize. In addition, metrics and measurements — the much-discussed “single-source-of-truth” — often fail to take shape, which in turn leads to competing versions of the truth, a lack of trust in available decision-making data, and degradation in decision-making speed and effectiveness.
In this webinar, we will:
• Explore the underlying conditions that lead to the challenges of driving consistent and company-wide adoption of Business Intelligence
• Examine case studies of companies that have successfully solved these challenges
• Suggest solutions to the issues preventing organizations from building the necessary but elusive “Single Source of Truth”
Accelerate Your Move to the Cloud with Data Catalogs and GovernanceDATAVERSITY
As more data is migrating to the cloud, whether to increase efficiencies or take advantage of new capabilities like AI and machine learning tools, organizations are challenged on how to do so in a consumable, trusted fashion. Join us for this webcast and hear how enterprises are using data catalogs to unify approaches across their cloud and on-premises worlds, and prioritize which data assets should be moved to cloud, resulting in a more consumable and trusted data lake and ecosystem.
The Chief Data Officer - quotes from data & analytics thought leadersMario Faria
Data & Analytics have become so important on how business are differentiating themselves in the marketplace. With the help from the most well recognized data leaders of our time, I have put together their thoughts in this material. By sharing our thinking, we want companies to understand what it takes to become a data-driven organization.
Big Data has moved beyond being just a buzzword. Organizations are operationalizing various Big Data technologies to answer critical business questions and power sophisticated workloads.
Building on the success of their 2012 “Big Data Comes of Age” research report, EMA VP of Research, Shawn Rogers, EMA Senior Analyst, John Myers, and 9sight Consulting Founder and Principal, Dr. Barry Devlin, will reveal their latest big data research findings during this informative Webinar.
Attendees will learn not just the what's of Big Data technologies but also the why’s of use cases, implementation strategies and technology choices, as well as discover:
>>Most popular use cases for big data based on nearly 600 projects reviewed in this research
>>Which Hadoop distributions are gaining traction
>>The technical and business-driven-challenges for Big Data
>>Most popular data sources for Big Data
>>How organizations are continuing the trend of implementing the EMA Hybrid Data Ecosystem (HDE) in association with their Big Data initiatives
Building an Effective Data Management StrategyHarley Capewell
In June 2013, Experian hosted a Data
Management Summit in London, with over
100 delegates from the public, private and
third sectors. Speakers from Experian
and across the data industry explored the
challenges of developing and implementing
data quality strategies - and how to
overcome them. Read on for more information.
Bridging the Data Divide: Driving Data and Analytics Projects Forward with Tr...Precisely
There’s no debate that data is the most valuable strategic asset available to your business today. According to ‘Voice of the Enterprise: Data Management and Analytics 2020’ by 451 Research, 63% of enterprises use data to drive nearly all or most of their strategic decisions.
Join Amy O’Connor, Precisely Chief Data and Information Officer, and Paige Bartley, 451 Research Senior Research Analyst for Data, AI, and Analytics as Paige shares the latest research on data and analytics drawn from surveys of business and technology decision-makers and chats with Amy about her experience implementing Precisely products to ensure data integrity and fuel the company’s data-driven business model.
View this on-demand webinar to hear Amy and Paige share their perspectives on key points from the research, including how:
• Only 25% of respondents rate more than 80% of their recent data and analytics initiatives as successful
• 78% of those most successful with data and analytics initiatives are using or considering using technologies to accelerate the analysis of distributed data
• 24% of respondents are investing in programs that increase trust in data by improving accuracy, quality, lineage and/or governance to improve their data culture
Chief Data & Analytics Officer - who are these new kids on the C-Suite block ?Mario Faria
In the last 12 months, 70% of all the Chief Data Officers in USA were hired. CDOs are the new breed of professionals coming to the C-Suite. They are responsible for handling data as a key strategic asset. In this material, you will be able to understand how they work and what is required to be one successful Chief Data & Analytics Officer
3 Steps to Becoming a Successful Chief Data OfficerMario Faria
Presentation delivered at the Enteprise Data Leadership Summit, in Chicago March-2014
Mario Faria, Head of Chief Data Officer, Inc., a consulting and advisory services company, based in Seattle, WA
Better leverage your data: Overcome common data quality challengesExperian Data Quality
Erin Haselkorn, Analyst and Public Relations Manager at Experian Data Quality, presented the "Better leverage your data: Overcome common data quality challenges" webinar. The webinar covered key trends around data today, how organizations are changing to better utilize data, five key tactics for improving your data assets along with customer stories.
On Tuesday, March 22, 2016, we hosted the 'Gain better customer insight via improved data quality' webinar. Erin Haselkorn, Analyst and Public Relations Manager and Basil Brown, Pandora PreSales – Technical Lead discussed the key takeaways: how to gain better customer insights, how to improve data operation and how the data management space is evolving.
On February 24, 2016, we presented the "Improve your data usage in 2016" webinar with DestinationCRM.
Data has the potential to tell incredible stories. In 2016, many companies want to better leverage their data resources to understand consumers, improve business operations and make more informed decisions. The problem, however, is that using data to tell us a story is only possible through proper management, collection, and resources. These slides will cover:
- How to build customer relationships through better data
- Trends in data quality challenges, and
- How data management is evolving?
The world around us is changing. Data is embedded in everything, and users from all lines of business want to leverage this data to influence decisions. The trick is to create a culture for pervasive analytics and empower the business to use data everywhere.
The core enabling technology to make this happen is Apache Hadoop. By leveraging Hadoop, organizations of all sizes and across all industries are making business models more predictable, and creating significant competitive advantages using big data.
Join Cloudera and Forrester to learn:
- What we mean by pervasive analytics, how it impacts your organization, and how to get started
- How leading organizations are using pervasive analytics for competitive advantage
- How Cloudera’s extensive partner ecosystem complements your strategy, helping deliver results faster
A Better Understanding: Solving Business Challenges with DataEric Kavanagh
Good decisions make great companies. That's why the data-driven mantra keeps gaining momentum. Increasingly, smart business people are taking a data-first approach for both strategic planning and tactical decision-making. They spend ample time exploring their data to better understand their options. In doing so, they capitalize on real opportunities, while avoiding low-value projects.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain why a data-first mindset can help companies optimize their resources and thus make better decisions. He'll be briefed by Rishi Patel and Erin Haselkorn of
The Briefing Room with Dr. Robin Bloor and Experian
Experian, who will showcase Experian Pandora, which enables the kind of discovery that businesses need to better understand their data. They'll explain how Pandora can help professionals build a business case for their ideas and plans.
For more information, contact Experian at bigdatainfo@experian.com
Citations:
Slide 3, Digital content will increase 44x in next 10 years: http://cdn.idc.com/research/Predictions12/Main/downloads/IDCTOP10Predictions2012.pdf
Peter Sonergaard quote, slide 2: http://www.gartner.com/newsroom/id/1824919
#MITXData "How the Data Revolution is Turning the Marketing World Upside Down...MITX
-Michele Goetz, Senior Analyst, Forrester
-Beatriz Santin, Senior Director of Marketing and Product, Experian QAS
Ever wished the data revolution never came and threw your world into chaos? Know that you can't turn back but don't know where to start or how to get there fast? Excited to finally have a seat at the table but anxious about how to deliver against rising expectations?
This session presented by Experian QAS, a part of Experian Marketing Services, and Forrester will explore the sentiments of marketers as we change our day-to-day and look for new avenues to propel business growth. From B2B to B2C, relevance is more important than ever – but how can we leverage data to make our brands stand out amongst all the others? Join to hear case studies and practical advice to guide you in a world where data is there not only for you but also for your customers and your competitors – to analyze and to consume.
5 steps to boost your accuracy in data reportingExperian
According to a recent Experian Data Quality study, 90% of financial institutions believe increasing regulation has driven their need for better data analytics and management. So how do you boost data accuracy - especially when it comes to reporting quality data to the bureaus? This deck reveals best practices, as well as solutions to consider when striving to improve your data reporting.
Comment améliorer les performances de vos campagnes grâce à l’analytics ?Experian
Devenu mature, le secteur du e-commerce doit maintenant trouver les leviers adéquats pour s’assurer de la croissance dans un écosystème où le parcours du consommateur n’est plus linéaire. Segmentation, qualication ou scoring de bases de données sont désormais des approches incontournables pour identifier vos opportunités stratégiques. Découvrez une série de best practices permettant de piloter avec efficacité votre activité, d’adapter vos messages et d’anticiper les réactions de vos clients.
Présentation réalisée lors du salon Ecommerce 2013 par Stéphane Martis, Responsable Analytis France et Magalie Lasfargues, Consultante
Why there are so many problems with streamlining data strategy ? What are the major problems ? How do you solve them ?
Using an approach based on Agile and Lean Concepts to achieve the goal of actionable data & analytics
Data-Driven is Passé: Transform Into An Insights-Driven EnterpriseDenodo
Watch the full webinar: http://goo.gl/c5rlCM
Speakers: Holger Kisker, Ph.D., Vice President and Research Director at Forrester Research Inc.
Listen to Holger Kisker, Vice President and Research Director at Forrester Research Inc., describe the three step plan for organizations to become insights-driven rather than data-driven enterprises. Adopting systems of insight and embedding them into your organization’s systems of engagement, record, and automation allows you to turn data into action. As a final step, data virtualization can help keep all systems in synch, being a key enabler for systems of insight.
Intel, Cloudera and guest speaker Forrester Research, Inc. discuss the strategy of pervasive analytics and real life examples of how analytics have already been embedded into applications and workflows.
Slides: Bridging the Data Disconnect – Trends in Global Data ManagementDATAVERSITY
Maintaining a competitive edge in today’s digital landscape hinges on the ability to leverage accurate and reliable data to make informed and strategic business decisions. But transforming data from liability to strategic asset is far from simply flipping a switch.
New research from Experian shows that while 85 percent of businesses believe data is one of their most valuable assets, a high degree of inaccuracy is hindering critical initiatives. In addition, rising levels of data debt and a data skills shortage are converging to make data insights harder to achieve. To tackle the large degree of distrust in information, a growing number of companies are investing in specialized data talent and data literacy programs.
Join us to uncover new research from more than 1,000 global professionals as we take a deep dive into:
• The top challenges in leveraging trusted data
• How data debt drags down ROI
• Trends around data skills, talent, and the rise of data literacy
• Tips for how you can drive a data-driven culture
Enabling a Culture of Self-Service AnalyticsPrecisely
As enterprises strive to create a more data-driven culture, they want to put more data in the hands of more users across the organization. However, not all enterprise data is easy to access and understand, and most decision-makers lack the expertise to evaluate the quality of the data they’re using to know if it’s fit for purpose.
To enable a culture of self-service analytics companies must get all of their data into one place where it can be accessed – like an enterprise data marketplace – and ensure its quality so it can be trusted by the data consumers.
View this webinar on-demand to hear from Matt Aslett, Research VP, Data, AI and Analytics, 451 Research and Jennifer Cheplick, Senior Director, Syncsort about how a combination of technology and cultural change can enable enterprises to provide a foundation of data integration and data quality that arms your organization’s data consumers with the functionality to enable self-service analytics.
These slides--based on the webinar hosted by leading IT analyst firm Enterprise Management Associates (EMA) and Digitate--provide insights into the impact of machine learning on managing workload automation.
Pythian Webinar ft Forrester - From Data to Insight: Trends in Data Management PythianMarketing
Industry pundits of all stripes are proclaiming the central role of data in the emerging digitally disrupted world. However, to get to visualization, predictive analytics, and data-driven insights, you first need data management.
This webinar presents Forrester's research on:
Why businesses are turning to data management outsourcers
What services they are looking for
How they are managing these engagements
Similar to The Chief Data Officer: Bridging the gap between data and decision-making (20)
February 16, 2017 -- Experian Data Quality hosts a fundraiser to support YouthBuild, a Boston-based nonprofit working to better the lives of low-income individuals by providing education and professional development opportunities. In partnership with renowned sales trainer, Ed Wal, the event raised over $8,000.
Inside the circle of trust: Data management for modern enterprisesExperian Data Quality
Data-driven businesses rely on large amounts of information to make informed decisions. But an underlying lack of trust in the quality of data undermines these initiatives. This presentation explores why trusted data is essential and how organizations can start to build confidence in their information.
This short ebook discusses how having a comprehensive data hygiene strategy will help your organization and five tips for building a data hygiene strategy.
Almost all companies collect email addresses to use for marketing or customer outreach purposes. But not every company approaches handling or maintaining email quality the same way. One company can have numerous tactics for just managing deliverability. The email industry is constantly changing—that’s why we’ve conducted a research study to bring you up to speed on the latest news and developments on email data quality.
Check out this slidedeck from our October 28th roundtable with industry experts to learn about this year’s trends, challenges and imperatives to ensure your email initiatives are heading in the right direction.
We discussed:
- Industry challenges regarding email collection and database maintenance
- How businesses manage email deliverability
- How businesses track email marketing success
Building and executing a data quality strategy can be a massive organizational project, but having the right people, processes and technology in place will ensure a successful and effective journey.
Check out 10 tactics for you and your organization to start building an effective data quality strategy.
It’s never too early to start gearing up for the holiday season. People are already dreaming of getting holiday emails from favorite brands or businesses with deals, promotions and gift ideas neatly wrapped inside. But you’re more worried about making sure that those messages get delivered without any hiccups. The cost of bad emails far outweighs the cost of preventing bad emails.
The number of emails being collected is on the rise; unfortunately, so are the inaccuracies. In the past year, almost 80 percent of companies have suffered from poor customer service, lost revenue and unnecessary costs as consequences of bad email addresses. And when the holiday shopping season is starting earlier and earlier every year, bad emails can cost you the big bucks.
Check out this slidedeck and learn how to avoid major email marketing challenges to keep your holiday campaigns running smoothly, fill your database with accurate emails you can use with confidence and ultimately, make the 2015 holiday season a lucrative one.
You’ll find out:
- The top email collection challenges faced by businesses today
- Ways to leverage email validation and deliverability techniques
- How real-time verification solutions are the best line of defense against a poor email database—no matter what season it is
On June 25, 2015, Shirley Zhao, Content Marketer, and Melanie Clark, Retail Partner Manager presented a webinar, “Loyalty matters: How better data drives more loyalty and more revenue.” The webinar covered statistics around loyalty, three ways to improve insights on loyalty and increasing the success of your loyalty or customer engagement program.
Rishi Patel, Strategic Account Manager at Experian Data Quality and Michael Ott, Senior Vice President at Innovative Systems, Inc., an Experian Data Quality partner, presented a webinar, “De-risking data integration projects.” The webinar focused on four major topics: the historical challenges of data integration projects, how current environments introduce additional complexity, an advanced methodology for overcoming data integration challenges, and a checklist to ensure that your project stays on track for success.
Check out the recorded webinar and related blog here: https://www.edq.com/blog/de-risking-data-integration-projects/
Building a successful omnichannel marketing experience - Why data quality is keyExperian Data Quality
This webinar was presented on April 29, 2015.
These days consumers interact with companies across multiple channels—from walking into a physical location to engaging with your website or even calling to make a complaint. Is your customer experience consistent across these channels? Or do these multiple touch points mean multiple consumer experiences?
Learn how you can create a truly seamless omnichannel experience and gain better insights from a single customer view, all through unlocking the power of your data.
View this webinar deck to find out:
• Where the omnichannel dream falls flat
• What role data and its quality plays in omnichannel and the single customer view
• How to address common data collection challenges, through every channel you interact with customers
• How to achieve omnichannel success through better data quality
Naughty to Nice: How to Recover from those Holiday Email IssuesExperian Data Quality
This webinar was presented on November 13, 2014.
As a retailer, you know you need to push your email marketing to the limits during the holiday season. By now, your audience is defined and segmented, promotions are decided on, cadence and dates are set, and holiday email campaigns are being set in motion. You’ve done your research and followed holiday email best practices, but you’re still having deliverability challenges.
What can you do to avoid and recover from the email deliverability woes?
Check out Naughty to Nice: How to Recover from those Holiday Email Issues, where we presented real-life examples and explore:
• Quick actions that you can take to recover from email mishaps
• Best approaches to avoid deliverability issues and keep your campaigns on target
• Real-life examples of retailers regaining control during the holidays
• Steps to evaluate campaign success post-holiday season and what to do to start next year off on the right foot
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.