This document discusses how to build a culture of measurement within an organization. It provides examples of companies like Cabela's and Barclaycard that have successfully cultivated measurement cultures. The key benefits are using data to increase revenue, lower costs, and improve customer satisfaction. However, changing an organization's culture presents challenges. The document recommends understanding current cultural roots, deploying measurement strategies in a phased approach, and communicating the value of measurement through stories.
This document outlines 6 key marketing trends for 2013, including: 1) Big data becoming more individualized and actionable for smaller companies; 2) Companies investing in unified marketing platforms centered on customer behaviors and automation; 3) Content marketing becoming more critical as buyers demand personalized content; 4) Customers expecting mobile-friendly experiences; 5) Social media impacting every channel; and 6) Marketing departments transforming to deliver individualized conversations. It provides context around these trends and the importance of understanding customers to deliver hyper-personalized interactions across channels in real-time.
ClickZ/Fospha: The State of Marketing Measurement, Attribution, and Data Mana...Clark Boyd
This report covers:
The data challenges marketers are confronting today
The business impact of a complex (and oft-misunderstood) data culture
The role of marketing intelligence software in a modern organization
How to define and use metrics like customer lifetime value
The features marketers wish their current technologies had
How to assess your own company’s data maturity
A new approach to agile, accessible marketing measurement
The enterprise marketer's playbook: Building an integrated data strategy.
An integrated data strategy can help any business see customer journeys more clearly ― and then give customers more relevant ads and experiences that get results. So why doesn't everyone have such a strategy? We look at what sets the marketing leaders apart.
Let marketing data be your guide
If you've ever felt too swamped by data to find the customer insights you need, you're not alone. But there's a new and better approach to gaining deeper audience insights: building an integrated data strategy.
Read this report to learn how:
86% of senior executives agree that eliminating organizational silos is critical to expanding the use of data and analytics in decision-making.
75% of marketers agree that lack of education and training on data and analytics is the biggest barrier to more business decisions being made based on data insights.
Leading marketers are 59% more likely to use digital analytics to optimize the user experience in real time.
Social Data Intelligence: Webinar with Susan EtlingerSusan Etlinger
This webinar covers the findings from the Altimeter Group report, Social Data Intelligence, which lays out the imperative for organizations to integrate social data with other data streams in the enterprise. Includes best practices and frameworks, as well as a maturity map to enable organizations to make the best and most strategic use of social data.
Shiny Object or Digital Intelligence Hub? Evolution of the Social Media Comma...Susan Etlinger
This report provides an industry update, best pratices and frameworks for understanding how to approach and build a social media command center that integrates with other digital and enterprise signals in the business.
This document outlines 6 key marketing trends for 2013, including: 1) Big data becoming more individualized and actionable for smaller companies; 2) Companies investing in unified marketing platforms centered on customer behaviors and automation; 3) Content marketing becoming more critical as buyers demand personalized content; 4) Customers expecting mobile-friendly experiences; 5) Social media impacting every channel; and 6) Marketing departments transforming to deliver individualized conversations. It provides context around these trends and the importance of understanding customers to deliver hyper-personalized interactions across channels in real-time.
ClickZ/Fospha: The State of Marketing Measurement, Attribution, and Data Mana...Clark Boyd
This report covers:
The data challenges marketers are confronting today
The business impact of a complex (and oft-misunderstood) data culture
The role of marketing intelligence software in a modern organization
How to define and use metrics like customer lifetime value
The features marketers wish their current technologies had
How to assess your own company’s data maturity
A new approach to agile, accessible marketing measurement
The enterprise marketer's playbook: Building an integrated data strategy.
An integrated data strategy can help any business see customer journeys more clearly ― and then give customers more relevant ads and experiences that get results. So why doesn't everyone have such a strategy? We look at what sets the marketing leaders apart.
Let marketing data be your guide
If you've ever felt too swamped by data to find the customer insights you need, you're not alone. But there's a new and better approach to gaining deeper audience insights: building an integrated data strategy.
Read this report to learn how:
86% of senior executives agree that eliminating organizational silos is critical to expanding the use of data and analytics in decision-making.
75% of marketers agree that lack of education and training on data and analytics is the biggest barrier to more business decisions being made based on data insights.
Leading marketers are 59% more likely to use digital analytics to optimize the user experience in real time.
Social Data Intelligence: Webinar with Susan EtlingerSusan Etlinger
This webinar covers the findings from the Altimeter Group report, Social Data Intelligence, which lays out the imperative for organizations to integrate social data with other data streams in the enterprise. Includes best practices and frameworks, as well as a maturity map to enable organizations to make the best and most strategic use of social data.
Shiny Object or Digital Intelligence Hub? Evolution of the Social Media Comma...Susan Etlinger
This report provides an industry update, best pratices and frameworks for understanding how to approach and build a social media command center that integrates with other digital and enterprise signals in the business.
WhoKnows People Data Analytics for Human ResourcesJoanne Hernon
This document discusses how machine learning and people data analytics can help companies make better HR decisions. It explains that people analytics has traditionally relied on limited manually entered data, but new technologies allow companies to analyze more employee data from multiple sources. Machine learning and analyzing employee skills, relationships, and expertise across an organization can provide insights into talent gaps, team positioning, retention strategies, and strategic planning. The document promotes a people analytics platform called WhoKnows that helps companies leverage these techniques to realize the full potential of their employee talent and knowledge.
Unlocking the Value of Big Data (Innovation Summit 2014)Dun & Bradstreet
Big Data is central to the strategic thinking of today’s innovators and business executives as companies are scrambling to figure out the secret to transforming Big Data to Big Insight and that Insight into Action. As many companies struggle with the emerging technologies and nascent capabilities to discover and curate massive quantities of highly dynamic data, new problems are emerging in the form of how to ask meaningful questions that leverage the “V’s” of large amounts of data (e.g. volume, variety, velocity, veracity). In the Business-to-Business space, these challenges are creating both significant opportunity and ominous new types of risk. This presentation discusses how companies are reacting to these changes and provide valuable insight into new ways of thinking in a world with overwhelming quantities of data.
Marketing Data Renovators Guide: 10 Steps to Prime Your B2B Database for Anal...Shelly Lucas
This document provides 10 steps to prepare a marketing database for analytics by renovating the data like a fixer-upper home. It begins by separating wants from needs and nailing down a budget. Consulting an expert to finalize a design is recommended before going deep into infrastructure upgrades and checking regulations. The steps also include auditing current data and ordering what's needed, expecting surprises, adding finishing touches, and reappraising the results. The overall message is that data quality renovations require careful planning, expertise, and ongoing maintenance for analytics to provide accurate insights.
This document provides guidance on developing a data-driven culture and governance strategies for Power BI deployments. It discusses three approaches to BI (corporate, IT-managed self-service, and business-led self-service), and offers options for hybrid/on-premises deployment, data sources, and roles. Sample roadmaps are provided for each approach to help organizations foster analytics use and maximize their Power BI investment.
This white paper discusses how analytics can help IT executives become strategic business leaders by providing speed of knowledge. It argues analytics enables organizations to gain insights from large amounts of data and predict future outcomes, allowing for improved decision making. The paper explains how analytics goes beyond basic business intelligence reporting by incorporating techniques like predictive modeling, data mining, and visualization. It emphasizes that integrating different analytic functions provides a multidimensional understanding of business and customer data that can be leveraged for competitive advantage. Finally, the document discusses how IT leaders can implement robust analytics platforms to enable sophisticated analytics across their organizations.
This document summarizes a roundtable discussion about breaking down silos between primary research and platform analytics teams within organizations. Key discussion points included that 1) traditional organizational structures designed for the industrial age are preventing companies from leveraging all of their data, 2) there is often overinvestment in technology but underinvestment in developing employee skills, and 3) creating a truly data-driven culture requires openness, collaboration, and experimentation across departments beyond just research and analytics. The roundtable participants explored how blending skills and exposing employees to different business functions can help companies overcome data silos.
Acquire Grow & Retain customers - The business imperative for Big DataIBM Software India
The emergence of Big Data and Analytics has changed the way marketing decisions are made. Marketing has moved away from traditional ‘generalisation’ practices such as customer segmentation, geographical targeting etc. and is focussing more on the individual – the ‘Chief Executive Customer’.
Visual and wizard-driven paradigms for analytics can empower more business users to explore data and develop analytic workflows without extensive coding expertise. The webinar demonstrated how SAS solutions provide intuitive visual discovery of data, visual programming to develop analytic workflows through a drag-and-drop interface, and guided wizards for model development. These capabilities make analytics more accessible, help spread capabilities across organizations, and free quantitative experts to focus on more complex issues.
How to work like a network: For the marketing leaderOffice
Enterprise Social describes a new way of working that connects individuals through a dynamic network of people and information. This allows employees to respond faster, accomplish more, and work together more effectively. The document discusses how marketers can use Enterprise Social tools like Yammer, SharePoint Online, and Microsoft Social Listening to gain customer insights, streamline collaboration both internally and externally, and grow brand awareness. It provides examples of how companies have leveraged these tools to improve communication, drive innovation, and engage employees as brand ambassadors.
The document discusses how advanced analytics are disrupting marketing by enabling more targeted and personalized strategies. It provides an introduction to an e-book compiling essays from data analytics experts in different fields and industries about how they are applying big data analytics. The essays are grouped into five sections covering topics like how analytics are changing businesses, new technology platforms, industry examples, research applications, and marketing strategies.
Keys to Community Readiness and Growth ReportLeader Networks
In order to help branded online communities understand the critical success factors, Leader Networks and CMX collaborated on this study. The research examines the organizational people, processes, and technology scenarios that fuel existing or future community initiatives. The result is a data-driven portrait of characteristics that can be used to predict the potential business impact of an online community. Based on the trends of communities deemed “very successful,” this portrait offers an inside look at what separates these communities from the pack and provides a strategic and operational model to emulate.
Achieving momentum for a social business strategy for many organizations is challenging
enough, but execution is often fraught with unanswered questions: Who owns social? How are key decisions made? How do we organize to execute social?
In this report, we define a social business governance system of 4 P’s: people, policies, processes, and practices. We use that framework to provide a maturity model to assess where you are, and we include best practices, policy templates, and a decision-making matrix that you can use to define Social Business Governance (SBG) that will help you both achieve the potential of your strategy and manage risk.
Download the full report at: http://goo.gl/y2uiKR
How to work like a network: for the health industry professionalOffice
This document discusses how enterprise social technologies can help healthcare organizations improve communication and collaboration. It describes establishing a "transformation task force" headquarters using tools like Yammer, SharePoint, Lync and Office 365 to connect providers, patients and administrators. It outlines three ways to empower the task force: using social listening to understand community health trends; keeping providers and patients connected between visits; and encouraging prevention through online health communities. The goal is for organizations to work like networks and accelerate healthcare transformation through better collaboration.
Target Better, Nurture Better and Close Better. Learn how Dun & Bradstreet data within Oracle Cloud can help businesses grow relationships and revenue.
This document provides an overview and guide to data management for modern marketers. It discusses the importance of data management and outlines strategies for collecting cross-channel customer data, defining target audiences, and activating meaningful marketing across channels. The guide emphasizes centralizing data from various sources, conducting data audits to understand goals and identify gaps, and using unified customer profiles to deliver personalized experiences.
The document discusses how credit departments can enable sales growth through three strategies: 1) Prescreening accounts and enabling instant credit decisions to shorten sales cycles, 2) Reducing credit holds and finding upsell opportunities by taking a proactive risk-based approach, and 3) Optimizing customer portfolios and segmenting them to identify the profile of the best customers for targeting. The presentation provides examples of how each strategy can be implemented, such as enabling prescreening and instant credit decisions directly in CRM systems, using corporate family information to identify upsell opportunities, and creating a best customer profile based on factors like industry, size, and credit scores.
This document reports on a pilot study that examined the quantifiable value derived from serendipitous activity within collaborative systems. Interviews with five companies found that four reported value from collaboration tools, though most did not track the actual value from serendipity. On average, measurable serendipitous results occurred within 3 months, yielding an average financial impact of $364,000. The study also outlines six rules for how value arises from serendipity through the creation, sharing, and later use of knowledge within organizations.
Analytics, Schmanalytics It's About More than Just DataGilman Sullivan
1. Analytics involves using technology, techniques and processes to understand data in order to drive business decisions and determine trends. It can help organizations be more efficient and improve results.
2. For an organization to truly benefit from analytics, key decision makers must embrace regularly gathering, analyzing and reviewing data. Leaders must leverage analytic tools, techniques and processes to guide efficiency and performance. This requires changing how people think and make decisions.
3. Implementing an analytic culture carefully and thoughtfully is important for successful change. It involves preparing the organization, defining questions to answer, ensuring skills and preparing people for a new way of working.
The document discusses predictive analytics and its applications. It begins by defining predictive analytics as using data patterns to predict future outcomes. It then discusses how various industries like marketing, risk management, and operations are using predictive analytics for applications such as targeting customers, assessing risk, and optimizing processes. The document provides examples of how predictive models are used for response modeling, customer segmentation, loyalty/retention, and assessing customer profitability in marketing. It also discusses using predictive models for predicting defaults in risk applications.
This document discusses approaches to measuring engagement in the digital world. It begins by defining engagement as an estimate of the depth of visitor interaction against clearly defined goals. It then describes several approaches to measuring engagement online, ranging from simple measures based on clicks and time on site to more complex models that account for additional factors. Finally, it provides examples of measuring engagement for different industries such as retail, media, government, and hospitality. The overall message is that engagement is a business concept that can be measured in various valid ways depending on a company's goals and definition of engagement.
WhoKnows People Data Analytics for Human ResourcesJoanne Hernon
This document discusses how machine learning and people data analytics can help companies make better HR decisions. It explains that people analytics has traditionally relied on limited manually entered data, but new technologies allow companies to analyze more employee data from multiple sources. Machine learning and analyzing employee skills, relationships, and expertise across an organization can provide insights into talent gaps, team positioning, retention strategies, and strategic planning. The document promotes a people analytics platform called WhoKnows that helps companies leverage these techniques to realize the full potential of their employee talent and knowledge.
Unlocking the Value of Big Data (Innovation Summit 2014)Dun & Bradstreet
Big Data is central to the strategic thinking of today’s innovators and business executives as companies are scrambling to figure out the secret to transforming Big Data to Big Insight and that Insight into Action. As many companies struggle with the emerging technologies and nascent capabilities to discover and curate massive quantities of highly dynamic data, new problems are emerging in the form of how to ask meaningful questions that leverage the “V’s” of large amounts of data (e.g. volume, variety, velocity, veracity). In the Business-to-Business space, these challenges are creating both significant opportunity and ominous new types of risk. This presentation discusses how companies are reacting to these changes and provide valuable insight into new ways of thinking in a world with overwhelming quantities of data.
Marketing Data Renovators Guide: 10 Steps to Prime Your B2B Database for Anal...Shelly Lucas
This document provides 10 steps to prepare a marketing database for analytics by renovating the data like a fixer-upper home. It begins by separating wants from needs and nailing down a budget. Consulting an expert to finalize a design is recommended before going deep into infrastructure upgrades and checking regulations. The steps also include auditing current data and ordering what's needed, expecting surprises, adding finishing touches, and reappraising the results. The overall message is that data quality renovations require careful planning, expertise, and ongoing maintenance for analytics to provide accurate insights.
This document provides guidance on developing a data-driven culture and governance strategies for Power BI deployments. It discusses three approaches to BI (corporate, IT-managed self-service, and business-led self-service), and offers options for hybrid/on-premises deployment, data sources, and roles. Sample roadmaps are provided for each approach to help organizations foster analytics use and maximize their Power BI investment.
This white paper discusses how analytics can help IT executives become strategic business leaders by providing speed of knowledge. It argues analytics enables organizations to gain insights from large amounts of data and predict future outcomes, allowing for improved decision making. The paper explains how analytics goes beyond basic business intelligence reporting by incorporating techniques like predictive modeling, data mining, and visualization. It emphasizes that integrating different analytic functions provides a multidimensional understanding of business and customer data that can be leveraged for competitive advantage. Finally, the document discusses how IT leaders can implement robust analytics platforms to enable sophisticated analytics across their organizations.
This document summarizes a roundtable discussion about breaking down silos between primary research and platform analytics teams within organizations. Key discussion points included that 1) traditional organizational structures designed for the industrial age are preventing companies from leveraging all of their data, 2) there is often overinvestment in technology but underinvestment in developing employee skills, and 3) creating a truly data-driven culture requires openness, collaboration, and experimentation across departments beyond just research and analytics. The roundtable participants explored how blending skills and exposing employees to different business functions can help companies overcome data silos.
Acquire Grow & Retain customers - The business imperative for Big DataIBM Software India
The emergence of Big Data and Analytics has changed the way marketing decisions are made. Marketing has moved away from traditional ‘generalisation’ practices such as customer segmentation, geographical targeting etc. and is focussing more on the individual – the ‘Chief Executive Customer’.
Visual and wizard-driven paradigms for analytics can empower more business users to explore data and develop analytic workflows without extensive coding expertise. The webinar demonstrated how SAS solutions provide intuitive visual discovery of data, visual programming to develop analytic workflows through a drag-and-drop interface, and guided wizards for model development. These capabilities make analytics more accessible, help spread capabilities across organizations, and free quantitative experts to focus on more complex issues.
How to work like a network: For the marketing leaderOffice
Enterprise Social describes a new way of working that connects individuals through a dynamic network of people and information. This allows employees to respond faster, accomplish more, and work together more effectively. The document discusses how marketers can use Enterprise Social tools like Yammer, SharePoint Online, and Microsoft Social Listening to gain customer insights, streamline collaboration both internally and externally, and grow brand awareness. It provides examples of how companies have leveraged these tools to improve communication, drive innovation, and engage employees as brand ambassadors.
The document discusses how advanced analytics are disrupting marketing by enabling more targeted and personalized strategies. It provides an introduction to an e-book compiling essays from data analytics experts in different fields and industries about how they are applying big data analytics. The essays are grouped into five sections covering topics like how analytics are changing businesses, new technology platforms, industry examples, research applications, and marketing strategies.
Keys to Community Readiness and Growth ReportLeader Networks
In order to help branded online communities understand the critical success factors, Leader Networks and CMX collaborated on this study. The research examines the organizational people, processes, and technology scenarios that fuel existing or future community initiatives. The result is a data-driven portrait of characteristics that can be used to predict the potential business impact of an online community. Based on the trends of communities deemed “very successful,” this portrait offers an inside look at what separates these communities from the pack and provides a strategic and operational model to emulate.
Achieving momentum for a social business strategy for many organizations is challenging
enough, but execution is often fraught with unanswered questions: Who owns social? How are key decisions made? How do we organize to execute social?
In this report, we define a social business governance system of 4 P’s: people, policies, processes, and practices. We use that framework to provide a maturity model to assess where you are, and we include best practices, policy templates, and a decision-making matrix that you can use to define Social Business Governance (SBG) that will help you both achieve the potential of your strategy and manage risk.
Download the full report at: http://goo.gl/y2uiKR
How to work like a network: for the health industry professionalOffice
This document discusses how enterprise social technologies can help healthcare organizations improve communication and collaboration. It describes establishing a "transformation task force" headquarters using tools like Yammer, SharePoint, Lync and Office 365 to connect providers, patients and administrators. It outlines three ways to empower the task force: using social listening to understand community health trends; keeping providers and patients connected between visits; and encouraging prevention through online health communities. The goal is for organizations to work like networks and accelerate healthcare transformation through better collaboration.
Target Better, Nurture Better and Close Better. Learn how Dun & Bradstreet data within Oracle Cloud can help businesses grow relationships and revenue.
This document provides an overview and guide to data management for modern marketers. It discusses the importance of data management and outlines strategies for collecting cross-channel customer data, defining target audiences, and activating meaningful marketing across channels. The guide emphasizes centralizing data from various sources, conducting data audits to understand goals and identify gaps, and using unified customer profiles to deliver personalized experiences.
The document discusses how credit departments can enable sales growth through three strategies: 1) Prescreening accounts and enabling instant credit decisions to shorten sales cycles, 2) Reducing credit holds and finding upsell opportunities by taking a proactive risk-based approach, and 3) Optimizing customer portfolios and segmenting them to identify the profile of the best customers for targeting. The presentation provides examples of how each strategy can be implemented, such as enabling prescreening and instant credit decisions directly in CRM systems, using corporate family information to identify upsell opportunities, and creating a best customer profile based on factors like industry, size, and credit scores.
This document reports on a pilot study that examined the quantifiable value derived from serendipitous activity within collaborative systems. Interviews with five companies found that four reported value from collaboration tools, though most did not track the actual value from serendipity. On average, measurable serendipitous results occurred within 3 months, yielding an average financial impact of $364,000. The study also outlines six rules for how value arises from serendipity through the creation, sharing, and later use of knowledge within organizations.
Analytics, Schmanalytics It's About More than Just DataGilman Sullivan
1. Analytics involves using technology, techniques and processes to understand data in order to drive business decisions and determine trends. It can help organizations be more efficient and improve results.
2. For an organization to truly benefit from analytics, key decision makers must embrace regularly gathering, analyzing and reviewing data. Leaders must leverage analytic tools, techniques and processes to guide efficiency and performance. This requires changing how people think and make decisions.
3. Implementing an analytic culture carefully and thoughtfully is important for successful change. It involves preparing the organization, defining questions to answer, ensuring skills and preparing people for a new way of working.
The document discusses predictive analytics and its applications. It begins by defining predictive analytics as using data patterns to predict future outcomes. It then discusses how various industries like marketing, risk management, and operations are using predictive analytics for applications such as targeting customers, assessing risk, and optimizing processes. The document provides examples of how predictive models are used for response modeling, customer segmentation, loyalty/retention, and assessing customer profitability in marketing. It also discusses using predictive models for predicting defaults in risk applications.
This document discusses approaches to measuring engagement in the digital world. It begins by defining engagement as an estimate of the depth of visitor interaction against clearly defined goals. It then describes several approaches to measuring engagement online, ranging from simple measures based on clicks and time on site to more complex models that account for additional factors. Finally, it provides examples of measuring engagement for different industries such as retail, media, government, and hospitality. The overall message is that engagement is a business concept that can be measured in various valid ways depending on a company's goals and definition of engagement.
This document is a quarterly publication that provides insights for boards and audit committees. It discusses how boards can help organizations embrace data analytics to derive value from big data. It also explores how strengthening internal controls can help tackle corruption risks. Additionally, it highlights an interview discussing the role of nomination committees in selecting directors and evaluating board performance, with a focus on both monetary and non-monetary criteria.
The document outlines steps for marketers to create and use dashboards to better monitor marketing progress and facilitate decision making. It discusses the benefits of dashboards, including helping address poor data organization, biases, accountability demands, and cross-department integration. Case studies show how dashboards can inform decisions across various industries. The book provides guidance on assembling teams, gaining IT support, building databases, designing effective visualizations, and cultivating a data-driven culture.
The document discusses how businesses can simplify their analytics strategy to generate insights that lead to real outcomes. It recommends that companies accelerate data through emerging technologies to speed up insight generation and business outcomes. Next-gen business intelligence can help companies improve decision making by presenting data in a visually appealing way to enable data-driven opportunities. The document also discusses how applications and machine learning can simplify advanced analytics to put power in the hands of business users to make data-driven decisions. It emphasizes that each company's path to analytics insight is unique and should have an outcome-driven mindset.
The Mandate for Agile Measurement by BECKONAmanda Roberts
It’s no secret that the marketing landscape is changing faster than ever. Savvy marketers use this relentless pace to their advantage, testing, experimenting and optimizing their way to the top.
As data proliferates at a dizzying rate, marketing’s age-old questions haven’t changed. Agile marketing is, at heart, a way to answer and act on these fundamental questions at the speed and scale of modern marketing. And it mandates a new approach to measurement—one based on speed, iteration and business-building insights.
The six-step guide outlines how to break through the analytics barrier and fully realize the benefits of analytics programs. The six steps are: 1) define customer experience outcomes, 2) integrate a big data infrastructure, 3) rethink the customer journey, 4) enhance insights with digital data and processes, 5) construct solutions from the customer perspective, and 6) test and measure for outcomes. Following these steps helps move analytics initiatives beyond operational reporting to enabling predictive insights that improve the customer experience.
You had a strategy. You were executing it. You were then side-swiped by COVID, spending countless cycles blocking and tackling. It is now time to step back onto your path.
CCG is holding a workshop to help you update your roadmap and get your team back on track and review how Microsoft Azure Solutions can be leveraged to build a strong foundation for governed data insights.
Connecting Online and In-Store Strategies for Multi-Unit BusinessesLucia Novara
The document provides strategies for connecting online and offline marketing efforts for multi-unit businesses. It discusses defining target audiences, objectives, and metrics. Specific tactics covered include using social media promotions and loyalty programs to track results, mobile and email campaigns with unique codes to track offline conversions, and leveraging community involvement for search engine optimization and content marketing. The goal is to close the loop and accurately measure how various online efforts impact offline store traffic and sales.
Data analytics can immensely impact and improve a business’s decision-making processes. From better strategies to profits, explore the full scope of analytics.
Data analytics can immensely impact and improve a business’s decision-making processes. From better strategies to profits, explore the full scope of analytics.
This whitepaper aims to assist Chief Data Officers in promoting a data-driven culture at their
organization, helping them lead the enterprise on a digital transformation journey backed by
analytical insights.
This document provides information on becoming a data-driven business, including recognizing opportunities where big data can benefit a company. It discusses integrating big data by identifying opportunities, building future capability scenarios, and defining benefits and roadmaps. It also outlines six data business models: product innovators, system innovators, data providers, data brokers, value chain integrators, and delivery network collaborators. An example is given for each model.
This document provides a guide to web analytics and marketing metrics. It discusses the importance of tracking the right metrics that matter to executives, such as those relating to revenue, costs, and business growth. It suggests metrics in key areas like brand performance, customer lifetime value, online and offline sales attribution. The document also discusses ensuring metrics are relevant to the business objectives and used properly. It provides examples of how simple and focused analytics can provide meaningful insights and business impact. Finally, it rates companies on a "metrics maturity model" in terms of how fully they integrate data, analytics, culture and processes.
data will become a valuable asset across the organization.
1. Web analytics data has value for many teams if shared properly. Share analytics data across teams to maximize its value for the
2. Data can help product managers, designers, executives, and organization. Focus each team on the relevant metrics to improve
developers improve their work. their work. When people can access useful insights, analytics
3. To maximize value, focus each team on relevant metrics and help data becomes a valuable asset.
them access insights for their roles. Sharing data in this way makes
it a valuable asset.
Strategic planning has been disrupted. The evolution of digital has forced us to re-think the very fabric of how agencies create marketing experiences. From channels to evolvable worlds, from disciplines to hacking, agencies need to change and embrace change. This 4A's presentatio, a collaboration between Laura McFarlane and myself, was presented by Laura at the Planning conference in 2013.
Transformer in chief The new chief digital officerCliff Busse
The role of the chief digital officer (CDO) is changing dramatically and now demands new skills. The CDO must lead comprehensive digital transformations across the entire company rapidly. To succeed, the CDO must integrate digital into all aspects of business strategy, obsess over customers to drive change, and build agility through speed, data, and networks both internal and external. CDOs are judged by their ability to guide projects and deliver results.
McK - 'Transformer in chief'- The new chief digital officerSotiris Syrmakezis
The document discusses the changing role of the chief digital officer (CDO). The CDO role is no longer focused on basic digital capabilities, but is now responsible for comprehensive digital transformations across a company. Today's CDO must coordinate changes to how a company works and develop new business lines quickly. The document outlines five key skills needed for CDOs to drive successful digital transformations: 1) integrating digital into all aspects of business strategy; 2) obsessively focusing on customers; 3) building agility, speed and data usage; 4) extending networks outside the company; and 5) developing digital talent.
Similar to Whitepaper culture ofmeasurement-webtrends (20)
This document provides tips and strategies for developing effective Facebook ad campaigns. It discusses how Facebook has become the leading social network with over 500 million users, and how marketers are increasingly using Facebook ads to reach consumers who spend more time on Facebook than other websites. The document also covers best practices for audience targeting on Facebook by leveraging profile data from existing fans and their friends' networks. Creative design considerations are also discussed, emphasizing the importance of high-quality images to grab attention in Facebook's visual environment.
Webtrends Analytics provides a flexible and scalable platform for collecting and analyzing customer behavior across multiple digital channels. It offers advanced data collection, flexible analysis and reporting capabilities, and the ability to scale as businesses grow. Webtrends Analytics can be deployed either as a software-as-a-service or on-premises solution, and features open data integration with other systems.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
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Whitepaper culture ofmeasurement-webtrends
1. ®
WHITEPAPER / BUILDING A CULTURE
OF MEASUREMENT
BUILDING A CULTURE
OF MEASUREMENT
Written by John Lovett of Web Analytics Demystified
www.webanalyticsdemystified.com
Sponsored by Webtrends
2. Table of Contents
Executive Summary .............................................................................................................................. 3
The Benefits of Operating Within a Culture of Measurement................................................................... 3
Managing Change Presents Challenges................................................................................................ 4
Debunking The Myth of Infinite Measurability.......................................................................................... 4
Finding Meaning Within the Measures.................................................................................................... 5
Imparting Wisdom Across the Organization........................................................................................... 6
Marketing Against A New Game plan..................................................................................................... 7
All Your Gut Should Tell You Is When To Eat............................................................................................ 7
Measurement Offers A Foundation For Operational Excellence.............................................................. 7
Success Unleashes A Data Hungry Organization................................................................................... 8
Measurement Cultures in Action............................................................................................................ 9
Cabela’s Built A Culture Around Their Customers................................................................................... 9
Barclaycard Takes A Measurement Culture Digital................................................................................. 11
A Global Auto Manufacturer Spans Cultural Differences Through Centralization..................................... 12
Key Takeaways & Lessons Learned....................................................................................................... 13
Understand Your Cultural Roots to Prepare for Change.......................................................................... 13
Deploy a Waterfall Strategy for Measurement......................................................................................... 15
Communicate the Merits of Measurement Through Storytelling............................................................. 15
Conclusion............................................................................................................................................ 15
WHITEPAPER / BUILDING A CULTURE OF MEASUREMENT 2
3. EXECUTIVE SUMMARY
Without a doubt, we are living in a big data world where businesses are amassing unprecedented stores of
information about their programs, campaigns and customers that are reaching epic proportions. Yet, amid
these petabytes of data lie stories of success that paint a compelling picture of business in the twenty-first
century. Organizations that have harnessed the ability to unearth these stories are effectively using data as
a means to advance their organizations to success. They’ve achieved this by building cultures of measurement
that recognize the value of data at multiple levels within their companies starting at executive management
and cascading through to tactical specialists. Yet, nurturing a program of measurement that has a profound
impact on an organization in this way requires time, diligence and planning.
In our experience at Web Analytics Demystified, we’ve realized that most organizations are not adequately
equipped to leverage the measurement technologies at their disposal for conducting data analysis and using
data to drive change within their organizations. Most often, individuals struggle to deliver insights using flawed
processes or via short-sighted strategies. Data remains locked within departmental silos and never gains the
chance to permeate throughout an organization. Yet, a few savvy organizations like the ones interviewed for this
research are breaking the cycle of data underutilization by leveraging a culture of measurement that has been
nurtured within their companies.
One interviewee described it well by stating; “We need to get the data out of the closed box that has been web
analytics for so long.” He went on to explain that Webtrends, the sponsor of this paper, is helping in this regard by
enabling data extraction using their REST API’s so that it can be used by other systems in the enterprise. Yet
according to our sources, moving cultural initiatives forward requires dedication and support from senior
management. This is difficult when so many executives still view the web as a gadget compared to television or
other direct marketing channels. However, organizations that have a willingness to advance, can evolve their
companies to take advantage of data and measurement technologies for competitive advantages.
Throughout this paper, Web Analytics Demystified shares examples of how organizations are building, nurturing
and succeeding with cultures of measurement within their respective organizations for substantial gains. We also
detail methods by which you can build a culture of measurement within your organization that includes strategy,
process and most importantly results.
THE BENEFITS OF OPERATING WITHIN A CULTURE
OF MEASUREMENT
In today’s business environment, organizations can find competitive advantages by understanding customers
and interacting with them in deep and meaningful ways. These enlightened interactions are possible because
of the digital data that winning organizations collect about their customers. By using analytics and measurement
technologies that span web channels, social media platforms and distributed applications, companies can
elevate the dialogs they have with their customers. Yet, to harness this information and use it effectively
throughout an enterprise requires an internal mindset that values data. This mindset is established at the
cultural core of an organization.
Savvy managers can reach this core of digital management nirvana by pulling on the right levers within the
organization. A wise man once wrote that there are only three true business goals: increasing revenue, lowering
costs, and improving customer satisfaction.1 While some may argue that there are many more nuanced goals
1: See Jim Sterne’s book Social Media Metrics: How to Measure and Optimize Your Marketing Investment, John Wiley & Sons, 2010
WHITEPAPER / BUILDING A CULTURE OF MEASUREMENT 3
4. when it comes to managing digital aspects of your business, these three are cornerstone elements that are
sure to attract the attention of senior executive everywhere. Effective use of digital measurement technologies,
like those offered by the sponsor of this paper, Webtrends and their worthy competitors, is the key to quantifying
change within your business environment. As organizations progress toward their goals and desired outcomes,
measurement is the yardstick by which they are judged. Thus developing a culture of measurement enables
companies to understand, report and most importantly act upon changes within their business environments.
Nurturing a culture of measurement allows businesses both large and small to leverage data to accomplish
their goals. When this use of data becomes rooted within the culture of an organization, the benefits of making
data-driven decisions become immediately apparent. So, if saving your organization money by optimizing
operational aspects of your customer-facing business; or increasing revenues by identifying customer needs
and wants; or if elevating customer satisfaction by delivering timely, relevant and meaningful digital experiences
is your goal... Then read on to learn how to build a culture of measurement and capitalize on the benefits of
using data as a key business driver.
MANAGING CHANGE PRESENTS CHALLENGES
Building a business culture is not something that happens overnight. Instead culture evolves over time from the
values, beliefs, taboos, symbols, rituals and myths that all companies develop. More often than not, culture
stems from the vision of executive management and permeates an organization. Yet, there are great disparities
between business cultures when it comes to measurement.
Some organizations leverage technology and digital capabilities to understand their customers, while others
still rely on antiquated methods for deciphering customer wants and needs. These discrepancies present
competitive advantages for organizations that seize the opportunity to adapt their businesses and instill a culture
of measurement. Yet, doing this often requires change within a company, which presents formidable challenges
that must be overcome.
Debunking The Myth of Infinite Measurability
At some point during the inception of the Internet the fallacy that the web is infinitely measurable was born. It
emerged from the fallacious belief that web analytics tools could magically provide insights and analytical
recommendations about consumers. This myth was perpetuated by organizations that looked to early digital
measurement pioneers like Webtrends who began in 19 9 3 by collecting and parsing weblog files to understand
which pages of their clients’ websites were being accessed by visitors. While technology was indeed evolving
to capture the digital footprints left behind by online visitors, merely collecting this data without understanding
its potential use was detrimental to the advancement of the measurement industry. Tools excelled at quantifying
direct conversion events and complex visitor behaviors, yet too often they failed to deliver actionable insights.
Thus, while the web was indeed becoming more measurable, much of the data collected was merely digital
trivia that served no purpose for the organization.
Online visitor activities such as research, information gathering and online entertainment, which have become
hallmarks of consumer behavior today, were undervalued because there was no conversion event at the end
of the session. While capable of measuring these actions, many organizations failed to utilize this information
due to a lack of adequate resources, flawed processes, and shortsighted strategies. Even more elusive were
the online branding activities that have latent effects on bottom line revenue. Thus, the notion of the infinitely
measurable web is a really a half-truth that remains partially unfulfilled today. Simply measuring is not enough.
Organizations must measure and translate their data into information, insights and recommendations. The
WHITEPAPER / BUILDING A CULTURE OF MEASUREMENT 4
5. only way we’ve identified to do this is by leveraging human resources for analysis, which is a cultural change
for many organizations.
Finding Meaning Within the Measures
Organizations that do apply resources to web
analytics and use data effectively almost
CORPORATE GOALS
without exception always have a plan for what
they want to accomplish and how they will get
there. Most often this emerges from a
BUSINESS OBJECTIVES discipline that we at Web Analytics
Demystified call the “Waterfall Strategy” (see
Figure 1). By starting at the top of an
MEASURE OF SUCCESS organization and identifying the corporate
goals, the Waterfall Strategy provides a
common direction for each member within
OPERATIONAL TACTICS the company to work towards. From there, the
Waterfall Strategy cascades to include
business objectives which align the goals with
Figure 1: The Waterfall Strategy consists of Goals,
Objectives, Measures and Tactics management strategies necessary to monitor
meaningful activity. Next comes the measures
of success which allow organizations to apply
metrics against their strategies and quantify progress. Finally, the Waterfall Strategy includes operational tactics
that dictate individual programs, campaigns, and channels.
Across each of these four tiers of the Waterfall Strategy, organizations can apply measurement to assess
progress towards their desired outcomes. To do this, goals must be both specific and measurable. Let’s take
a look at the following examples that an organization might use:
GOALS OBJECTIVES MEASURES TACTICS
Elevate online Integrate customer • Total Conversions • Email remarketing
conversions by 1% every database with targeting • % Conversions by • Dynamic content
quarter of 2011 solution inherent to web Segment injection
analytics platform • Cart Abandoners by • Segment profiling
Segement
Increase market share to Build brand awareness • Share of Voice • Identify new audience
51% among competitive using social media • Impressions per social channels
set by 2015 channels media channel • Test marketing
• Conversions by social messages
media channel • Deliver applications
Elevate customer Maintain unified customer • Satisfaction Score • Deliver coordinated
satisfaction by 20% within profiles of behavior • Engagement messaging across
2 years across channels • Interactivity channels
• Satisfaction Score • Use digital behavior
• Engagement cues for marketing
• Interactivity
Figure 2: Example Goals, Objectives, Measures and Tactics
WHITEPAPER / BUILDING A CULTURE OF MEASUREMENT 5
6. By using a plan that includes a strategy embedded with specific measurement tactics, organizations can
systematically develop programs and campaigns that can directly impact progress towards corporate goals.
It’s important to note that while there may be only a handful of corporate goals, there can be many objectives,
measures and tactics that work towards advancing the company to achieve its targets. And not all of these goals
will have necessarily have a direct impact on the bottom line. However, each initiative requires planning and
strategy as well as collaboration across the enterprise.
Imparting Wisdom Across the Organization
Precious few organizations develop the rigor and foresight necessary to instill a strategic measurement plan like
the Waterfall Strategy, let alone a pervasive cultural mindset. Most commonly we see company’s creating tactical
programs or creative campaigns and attempt to stuff in measurement as an afterthought. This is not only bad
practice, but often results in disappointing metrics with little real evidence of success. Instead, Web Analytics
Demystified recommends developing cross-functional teams that collaborate on goals, objectives, measures
and tactics early on to mitigate the misfortune that comes with a lack of planning. While this may sound daunting
to the culturally challenged organization, it opens the lines of communication, sets expectations and offers
innumerable rewards to companies who take this approach.
Unfortunately, because so many organizations have unique structures, there is no cookie-cutter approach to
developing a highly functional organizational approach to measurement. However, the construct that offers the
greatest degree of data quality, accessibility and capability for widespread distribution is a hybrid centralized /
decentralized model. Sometimes referred to as a “Hub-and-Spoke” model, this method of organization uses a
centralized team to govern and manage digital data. This group typically has liaisons within business units across
the organization to fulfill data requests, analysis needs and ongoing reporting. Yet, to make this system work
efficiently, companies must ensure a high degree of collaboration and communication between the centralized
and decentralized teams. Thus, the need for a cultural mindset that rewards use of data in daily operations and
decision making is important. These tasks can be accomplished using a new measurement game plan.
MARKETING AGAINST A NEW GAME PLAN
Given that the technologies of today are up to the task of measuring digital activities, organizations have found
that process is a requisite part of the solution. As such, businesses need to instill process and a coordinated
game plan to truly execute on a progressive vision of consumer marketing. However, all good game plans must
include a method for measurement by which organizations can assess progress and gauge results. This is where
the postmodern marketers differentiate themselves from their timeworn competitors.
All Your Gut Should Tell You Is When To Eat
One of the immense benefits of digital measurement technologies is that they bring new levels of accountability
to marketers and the organizations they operate in. This is especially true within companies that still struggle to
prove the value of analytics and digital measurement practices. When used properly, web data has the ability to
create ample fodder for persuasion and sometimes even offer irrefutable evidence necessary to prove a point.
Organizations that capitalize on this resource succeed by indoctrinating measurement tools and the data they
provide into their key business processes. Web analytics data is well suited to infuse into process because it can
be used to answer key business questions and it can also be analyzed to identify new opportunities and flailing
efforts. In a similar way, optimization technologies can also be used in conjunction with web analytics tools to
validate hypothesis and test online concepts. By doing this, marketers can guide their organizations to migrate
from systems where decisions are made based on intuition to ones where data drives the decisioning process.
WHITEPAPER / BUILDING A CULTURE OF MEASUREMENT 6
7. At one large media and entertainment company, a senior manager explained that the culture within their
organization was such that executives mandated that their constituents always come prepared to support
any hypothesis or proposed project with data. Eager employees that would attempt to present ideas without
existing data or modeled hypotheses showcasing data projections would be shunned and sent away to try
again. While this may sound harsh, it’s becoming the norm for organizations who can no longer afford to
execute against guess-work marketing. As Professor Tony O’Driscoll, of Duke’s Fuqua School of Business
was quoted as saying, “Metrics are heuristics designed for the purpose of guiding organizational decision
making.”2 This is more true today than ever and measurement technologies have brought new accountability
to marketing initiatives. Thus, organizations are transitioning to this new method of operation and making
it a part of their cultural business practice.
Measurement Offers A Foundation For Operational Excellence
Measurement processes take shape in many forms and offer ways to expedite actions and drive better decisions.
Yet, all processes are not created equally. Some can be loosely defined, as in the example above where
managers simply insist that recommendations are backed with data, while others can take on a more scientific
and methodological approach.
One enterprise interviewed for this research shared their process for using data to drive projects forward within
their organization. They use a system shared by many manufacturing companies called PDCA (Plan-Do-Check-
Act). Originally created by Dr. W. Edwards Demming it’s a scientific method that begins with a hypothesis, moves
to experimentation, and then to evaluation (See Figure 2). The company uses PDCA as a method to illustrate what
any given stakeholder wants to accomplish with their project; how they’ll measure the success; the tools
necessary to accomplish the task; and the targets that they’re hoping to achieve. This process can be applied to
web projects or any other initiatives - large or small - which enables the teams to evaluate activities across the
organization in a standardized way. Using the PDCA process, internal teams can determine which areas need
improvement and prioritize for quick wins in areas that will have the greatest impact across the organization.
Do
Plan Check
Act
Figure 2: The PDCA Cycle3
2 Extracted from: In God we trust; all others bring data
Training & Development, Apr 2006 by Davenport, Rex
WHITEPAPER / BUILDING A CULTURE OF MEASUREMENT 7
8. While the PDCA process may not be appropriate for every organization, it serves a very specific need within many
organizations. Further, in the case of the company we interviewed, PDCA was ingrained within the culture of the
organization and everyone within the company was familiar with the concept and how it worked. Thus, when new
initiatives were introduced, it was expected that they be tested using the PDCA process. This company in
particular, adopted this method within their digital practice because it was widely used within the organization at
large and therefore, it had a much greater change of acceptance and utilization. Yet there are many other
examples of types of processes that can be found within organizations of all sizes. Whether formalized or loosely
structured, digital measurement teams can leverage the cultural processes in place within an organization and
adapt them to new needs. So, even if you’re organization doesn’t employ established processes like PDCA its
worth looking for methods that are commonly used where measurement plays a critical role.
Success Unleashes A Data Hungry Organization
The best stories of success the partners at Web Analytics Demystified have witnessed include examples where
organizations exceed expectations in one area of the organization and showcase the results throughout the
entire company. Examples include recovering millions of dollars in lost revenue do to a flawed online checkout
process that was revealed using web analytics technology to discovering entirely new market opportunities
based on the geographic analysis of web traffic data. Whether these stories of success incite a competitive
environment or merely encourage the use of data, organizations that celebrate data consumption and the
benefits that measurement brings to the enterprise are most likely to foster a culture of measurement.
One individual interviewed for this research described her process of training internal stakeholders to access
their web analytics tool on a self-serve basis to answer routine business questions as the equivalent of getting
them to eat their vegetables. It was painful and required patience and diligence. Yet, the efforts were wildly
successful. Business users who received the training were empowered to explore the data to answer basic
questions, which led them to ask more insightful questions. This process yielded revelations about the
effectiveness of specific channels and segment behaviors that were previously unknown. By learning to work
with the data and understanding the capabilities of the tools at their disposal, individuals became hungry for more
information. Our interviewee shared that after training and getting a taste of data in an actionable format that her
business stakeholders were gobbling down data like it was candy. Not only were they successful in their own
programs, but news of their success also spread throughout the organization encouraging others to participate
in the training sessions.
While, this transformation may not work at all organizations, the introduction of data and the discoveries that it
can offer opened up new opportunities for learning about business programs, consumer behaviors and project
success. Each of these elements works to advance the culture of measurement within an organization.
MEASUREMENT CULTURES IN ACTION
Many organizations are evolving their corporate cultures to adapt to the ever-changing digital landscape, yet
most are leveraging technologies to help them make the transition. Webtrends customers Cabela’s,
Barclaycard and a well-known auto manufacturer who requested anonymity for competitive reasons all
shared anecdotes about the measurement cultures within their respective organizations.
3 Original Image Source: Creative Commons Attribution 3.0 Unported Karn G. Bulsuk (http://karnbulsuk.blogspot.com)
WHITEPAPER / BUILDING A CULTURE OF MEASUREMENT 8
9. CABELA’S BUILT A CULTURE AROUND THEIR CUSTOMERS
Some might say that the culture of measurement at Cabela’s began in 19 61 at the kitchen table of Dick and
Mary Cabela’s home in Chappell, Nebraska. Today, Cabela’s is widely recognized as the country’s foremost
outfitter of hunting, fishing and outdoor gear, but back then the original items shipped in true direct marketing
style with a mimeographed catalog of outdoor products accompanying each box. Growing up as a directmail
company, the Cabela’s kept the names of all their customers on index cards. It was their early start at collecting
data about their loyal customers. They did it to maintain relationships with their customers and to build upon their
growing success as a retail organization. Today the company has grown tremendously with numerous
accomplishments and a remarkable dedication to customer service. They’ve also evolved their measurement
culture to accurately predict how much product they’ll sell and to operate a high tech demand based system that
is made possible through sophisticated use of data.
What do your executives want to know about?
Unlike some organizations interviewed for this document Cabela’s didn’t have a single “Ah-Ha” moment when
they realized that data could aid in their operations and marketing success. Instead, that realization was there
from the outset and simply became ingrained within the business. Over the years measurement practices were
refined as the Cabela’s family created and tracked performance metrics that indicated just how well a campaign,
a catalog or an event delivered. For them, it wasn’t about measuring for the sake of keeping data, but rather it was
for accountability purposes. It costs money to execute in the early days as it does today, so by using metrics, non-
performing products would get cut from subsequent catalogs to make room for more profitable items. As
Cabela’s grew to incorporate other sales channels beyond the catalog, they adapted their measures to the new
channels with similar discipline. Data is now collected using multiple systems of record that span retail
transactions, web site usage, call center traffic, and of course catalog information, which is distributed across the
organization for analysis.
To accommodate their growing stores of data and their data collection needs, Cabela’s turned to Webtrends as
part of their cultural evolution. Cabela’s needed flexibility to not only collect data, but also to extract it for use in
their other database systems that included historical information about the business and its customers. The
interface capabilities they sought would enable the measurement team to collect detailed information about
online sessions that wasn’t possible with their previous data collection tools. Additionally, they needed a solution
with no limits placed on the volume of data collected from their digital initiatives. As their massive data stores
WHITEPAPER / BUILDING A CULTURE OF MEASUREMENT 9
10. expand, Cabela’s wanted the option of enabling web analysts to conduct analysis using an analytics user
interface or to provision access to extracted data from within their centralized data warehouse using other
analytical tools. This flexibility will afford the company multiple methods of getting web data into the
hands of business users across the organization.
Cabela’s is definitely a data-driven organization and one that has increased their focus on measurement in the
past year. As mentioned previously, the have recently become much more focused on data and are enabling
access for hundreds of people across the organization. This has created both benefits and challenges for the
organization. A measurement team sits at the center of the organization and acts as a “hub” to distribute data
throughout the organization via “spokes” to other departments. The marketing department is a heavy user of
data but it is also used in other areas for sales, retail planning and other activities. Yet, to ensure a common
understanding of data and proper use of information, Cabela’s has enlisted governance methods to help create
common definitions within a data dictionary and a data governance council that looks at conflicting metrics to
reconcile the right ones. The structure enables people to get access to the data they need, while maintaining
rights privileges for advanced data analysis to a select smaller group of analysts. The results produced a highly
productive data environment that empowers users with self-service access to critical data, while also training
people to ask questions of their business units. This has fostered a culture where appointed individuals can lead
from a reporting and analytics standpoint and provide the business units with access to data necessary to
perform their jobs.
In many ways Cabela’s is fortunate because a culture of measurement has always existed within the company.
Yet, they’re also driving forward and demonstrating true innovation by using data and their cultural foundation
in new ways to evolve and become more efficient.
BARCLAYCARD TAKES A MEASUREMENT
CULTURE DIGITAL
Barclaycard has been issuing credit cards to consumers in the United Kingdom since 1966 and has achieved
significant accomplishments along the way. As the organization grew to service 8.4 million customers today, it
established a track record of continuous innovation by delivering numerous firsts to the United Kingdom
including: becoming the first ATM card used in the UK, launching the first credit card loyalty program, and
venturing first onto the Internet. These technological achievements positioned Barclaycard to evolve to the
global organization that it is currently operating in over 60 countries servicing businesses and consumers a
cross the world. All the while Barclaycard has been fortifying its culture of measurement.
Data governance has always been top priority for Barclaycard because the nature of their financial services
business, which mandates that they are proper, stewards of all sources of information. As such, the organization
has built up measurement “pockets of excellence” within their risk and data management teams as well as other
areas of the company. Teams of analysts work diligently to evaluate data using predictive modeling disciplines
and advanced statistical analysis to mitigate surprises and ensure the sustainability of their financial programs.
Yet, much of the success of the culture that enables this level of measurement exudes from senior management.
One manager at Barclaycard stated, “The senior leadership at Barclaycard has always fostered a culture of
measurement, and now with the rise of digital, we’re taking information management to the next level.”
Vinesh Chauhan who Heads the Global Digital Research and Analytics function, is one employee at Barclaycard
who is leading the strategic digital analytics initiative. Mr. Chauhan is building out a program of measurement
WHITEPAPER / BUILDING A CULTURE OF MEASUREMENT 10
11. designed to deliver a world-class digital strategy that quantifies the customer experience across multiple
channels and enables value creation for business-to-business and end user customers alike. His challenge
is not only in identifying what digital analytics excellence looks like, but also in unlocking the expertise that exists
within “pockets” of the organization. Mr. Chauhan is working towards this end by developing a corporate strategy
that adheres to the vision of senior leadership, while clearly articulating the capabilities and enablers of the Center
of Digital Insights he’s building. In gaining momentum for the program, one tactic includes showcasing
successes achieved from using measurement as a catalyst for effective marketing. By breaking the silos of data
distribution and demonstrating success across the organization using measurement systems, stakeholders
within Barclaycard recognize the value of the data, analysis, insights and recommendations produced by the
Digital Engagement group. This in turn promotes utilization and underscores the culture of measurement at
Barclaycard.
While the strategic program of digital analytics is still in the making at Barclaycard today, the organization is well
on its way to innovating electronic banking in the twenty-first century. The company currently services customers
across its digital channels and is harnessing the data from these individuals within an institutional knowledge
share. This method aggregates data from myriad sources including: web, branches, call centres, and social
channels to benefit the organization and its customers at large. The result of these efforts will produce a burning
platform of digital analytics that is widely utilized across the company as a resource for data aggregation,
integrated analysis and widespread dissemination of insights all necessary to drive growth and innovation within
Barclaycard. All of this success is made possible because the company embraces a culture of measurement and
extends it to reach customers in their channels of choice.
A GLOBAL AUTO MANUFACTURER SPANS CULTURAL
DIFFERENCES THROUGH CENTRALIZATION
Like many auto manufacturing pioneers, this global organization has roots that date back to the early 19 00’s
when it began producing its first production automobiles. Steeped in tradition, the company developed a series
of guiding principles that focus in part on both customer and employee culture. However, as with many stalwart
brands, creating a culture of measurement is a long journey. At the surface, there exists a strong culture of
measurement in that decisions are made by understanding facts and figures prior to taking actions. But like many
established organizations that are adapting to the web and emerging digital channels, the transition of
measurement practices that apply to some areas of the enterprise are not always easily transferred to new ones.
While digital measurement was somewhat basic about five years ago, it has evolved to become more
sophisticated out of necessity.
This evolution of digital measurement practices over the past several years has occurred to some extent because
the organization operates in over 35 different geographic markets which required coordination to ensure
consistency of messaging and branding. A centralized team manages systems and technologies used to deliver
and measure their consumer facing digital efforts. This enables corporate management of measurement tools as
well as the ability to offer guidance on analysis, making use of wed data, and site optimization tactics which are
delivered from a team of trained measurement professionals. It also provides the opportunity for global
benchmarking of marketing initiatives and competitive analysis across geographic regions. While the central
team manages activities like web analytics deployments and topline analysis, it also delivers guidance, support
and coaching to the local teams to help them use and understand online data specific to their regional markets.
The company uses Webtrends for its analytics measurement and injects tags into the global Content
Management System to facilitate data collection across all corporate web pages and to ensure consistency of
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12. metrics. This practice dictates that local sites are all collecting data in the same way, making comparisons across
sites possible. The central team also uses web analytics for measuring key customer interactions like those on
their Flash car configuration application. This app is used by 25 countries and data revealed in the analytics
interface allows the central data team to understand how the application performs and how it can be optimized.
Yet, despite the global measurement tactics in place today, the auto manufacturer found that it has to continually
work to demonstrate the value of the digital data and how if can be used by other parts of the organization. The
measurement team worked to create an awareness of the data and educate others within the company on how
to use it. One challenge that they encountered was that just distributing colorful reports was not sufficient, but
that training recipients to use the information contained in those reports to take action was critical. They do this by
holding internal ”conferences” that educate stakeholders on best practices, analysis methods and the
capabilities of the system, which seems to be working for the Internet Marketing team. Just five years ago, there
were only a small handful of stakeholders within the organization that paid attention to the analytics reports, but
now there are hundreds that rely on the information to perform their daily job activities.
KEY TAKEAWAYS & LESSONS LEARNED
Understand Your Cultural Roots to Prepare for Change
One of the most important aspects of building a culture of measurement within an organization is understanding
where you’re starting from today and where you want to get to tomorrow. While organizations featured in the case
studies here benefited by starting from a position where a culture of measurement already existed, it doesn’t
always have to happen this way. Companies can build culture from scratch by clearly articulating the benefits of
operating from a data-driven vantage point. They can also nurture cultural elements and best practices from
parts of the organization that inherently use data to drive ideas and initiatives forward. Examples of this are also
made possible by individual leaders within organizations who rise within the ranks of their companies and carry a
cultural mindset with them to their new roles. Yet, all of this requires taking a close look at the existing corporate
culture to determine if it’s one that: fosters innovation over traditionalism; manages risk vs. reward; and honors
data over intuition. While some organizations will undoubtedly start from a better position of data-driven
excellence, many companies will have to work continuously to stay there. Thus, understanding your cultural roots
can help in determining the proclivity for measurement within your company and how much work and effort will
be required to influence change.
It’s also important to realize that technology alone cannot succeed in building a culture of measurement. People
are critical to the development of culture and even the best intentioned people cannot succeed alone.
Measurement is a team effort that requires executive support, enterprise collaboration across stakeholders and
expert analysts. Throughout each of these groups, effective communication, a clear understanding of corporate
goals, and the measures of success that will reveal desired outcomes is of the utmost importance. The human
assets that make this possible are likely to be your most valuable in the journey to building a culture of
measurement. They’re also the most difficult to obtain. Thus, attracting and retaining strong staff is one of the key
ingredients for building a culture of measurement.
To help assess the state of your measurement culture today, Web Analytics Demystified developed a diagnostic
test to determine where improvements can be made. Each one of the questions in Table 1 indicates a strong
practice in building and maintaining a culture of measurement and will serve as mileposts towards a solid
program of measurement.
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13. Key Questions Answer
1) Is your measurement plan aligned to Y/N
support corporate goals?
2) Are your corporate goals specific and Y/N
measurable?
3) Does everyone within your organization Y/N
know what the corporate goals are?
4) Is your executive team supporting the Y/N
measurement program?
5) Do data consumers understand the data Y/N
capabilities of the measurement system?
6) Have you collaborated with business Y/N
stakeholders to capture their business needs?
7) Do you educate stakeholders on the Y/N
benefits of measurement regularly?
8) Have you developed key measures of Y/N
success that demonstrate performance?
9) Are the measures of success used to set Y/N
and maintain expectations?
10 Do your measures of success mandate Y/N
actions when they exceed thresholds?
11) Are measures of success widely distributed Y/N
throughout the organization?
12) Do you have a data governance program? Y/N
13) Is there a method of self-service for Y/N
stakeholders to gain access to data?
14) Have you developed a process for Y/N
stakeholders to make data requests?
15) Do you have a process for testing hypotheses Y/N
and experimenting with new ideas?
16) Is process ingrained within your corporate Y/N
methods of taking action?
17) Are existing processes iterative and Y/N
designed for continuous improvement?
18) Do you have a system to collect and Y/N
analyze customer feedback?
19) Are data successes celebrated throughout Y/N
your organization?
20) Does data affect change at your Y/N
organization?
Table 1. Measurement Culture Diagnostic Self-Test
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14. Deploy a Waterfall Strategy for Measurement
Numerous lessons can be learned from organizations who take a strategic approach to measurement. These
measurement strategies typically share a common element of translating the vision held by corporate
management into specific and measurable goals. These goals are then supported with business objectives
that align different groups within the organization to focus on common tasks. The measures of success act as
status indicators depicting success or failure of corporate programs. Each measure of success plays a critical
role in the management of independent programs. Finally, operational tactics align the corporate goals with
executable campaigns that reach customers across multiple channels. The strategic coordination of each of
these elements of measurement comprise the Waterfall Strategy and represent a method for deploying a culture
of measurement.
Using this strategy places the burden of work in the planning phases because it requires that each initiative is
launched with specific measures, targets and expectations in place. While this method may inhibit immediate
turnaround of new initiatives, it also minimizes rash decisions. Organizations like the auto manufacturer
referenced earlier benefit from this type of process. The result produces standard operating procedures that
are widely understood throughout the organization and serve as a method for evaluating success on a
comparative basis.
Communicate the Merits of Measurement Through Storytelling
Perhaps one of the most important aspects of building a culture of measurement is celebrating success
throughout an organization. Going back to cultural myths and legends; tales are told about epic journeys,
monumental accomplishments and the valiant heroes that saved the day. Much like ancient lore, business
accomplishments can be celebrated and become part of the cultural fabric of an organization. By leveraging the
capabilities of measurement technologies and showcasing the accomplishments of individuals and business
teams, companies can encourage the use of data in a positive and genuine way.
The art of storytelling with data can also be used to inform the business about progress towards goals,
competitive advantages and even financial wins. To do this, data analysts must break free from merely reporting
via spreadsheets and rows of data by making the data come alive with examples and comparative illustrations.
Organizations that do this well always present data in context - whether that includes year-over-year
comparisons or market share versus the competition - the ability to go beyond raw numbers is imperative. Good
data stories are always rooted in numbers and have the backing of solid analysis behind them. The key is to tell
the tale that is both interesting and important to the business so that it captivates the attention of your audience
and forces them to take action. Yet, by building a measurement plan that is based on corporate goals and
business objectives, data storytellers have all the right ingredients for story-telling that is fact-based and
critically important to the business.
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15. CONCLUSION
When building a culture of measurement there are several moving parts that you need to pin down in order to be
successful. First, you must understand where you’re starting from in order to reach a desired outcome. This
happens by taking a realistic assessment of your corporate surroundings and identifying the existing culture you
work in. Then, develop a strategy that begins with the corporate vision and cascades through the organization
using objectives, measures of success and operational tactics. This can be achieved using a process like the
Waterfall Strategy. Next, instill a process that facilitates this strategy by mandating that projects and initiatives
include a detailed program for measurement and that data will be a driving factor in determining their success.
Further, you must continually ask difficult questions of the organization to ensure that your measurement strategy
and resulting data supports the needs of the business. This information must be widely socialized and readily
accessible. If signs point to the fact that the plan is wavering from the desired path, then it’s time to take corrective
actions. Finally, ensure that efficient and effective use of data is celebrated throughout your organization. Positive
results should be broadcast throughout the company and all goals and measures of success should be visible to
the masses. Successful outcomes that result from use of data should be showcased such that stakeholders who
have yet to immerse themselves in the culture of measurement will be compelled to do so.
All of the above also assumes that the organization has the right technology and resources in place to execute.
While cultures can be built upon many different types of technologies, strategies and processes, it is important
that the tools chosen for the task meet the business and cultural needs of the organization. So talk to your
stakeholders to assess their needs and then approach vendors with questions about their solutions that will
foster a culture of measurement. Whether you decide to approach this paper’s sponsor Webtrends, or another
vendor of your choice, you should view vendors as partners who will help in your quest to build a culture
of measurement.
We welcome any comments, questions and feedback about our work. Please write the author of this paper
directly at John.Lovett@webanalyticsdemystified.com or call us at 603.262.5636.
851 SW 6th Ave., Suite 1600 Webtrends Sales Europe, Middle East, Africa For offices worldwide, visit:
Portland, OR 97204 1.888.932.8736 + 44 (0) 1784 415 700 www.Webtrends.com
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fax: 1.503.294.7 1 30
About Webtrends Inc.
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