DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace from digital transformation, to marketing, to customer centricity, population health, and more. This webinar will help de-mystify data strategy and data architecture and will provide concrete, practical ways to get started.
DAS Slides: Building a Data Strategy – Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace from digital transformation, to marketing, to customer centricity, population health, and more. This webinar will help de-mystify data strategy and data architecture and will provide concrete, practical ways to get started.
BI Consultancy - Data, Analytics and StrategyShivam Dhawan
The presentation describes my views around the data we encounter in digital businesses like:
- Looking at common Data collection methodologies,
-What are the common issues within the decision support system and optimiztion lifecycle,
- Where are most of failing?
and most importantly, "How to connect the dots and move from Data to Strategy?"
I work with all facets of Web Analytics and Business Strategy and see the structures and governance models of various domains to establish and analyze the key performance indicators that allow you to have a 360º overview of online and offline multi-channel environment.
Apart from my experience with the leading analytic tools in the market like Google Analytics, Omniture and BI tools for Big Data, I am developing new solutions to solve complex digital / business problems.
As a resourceful consultant, I can connect with your team in any modality or in any form that meets your needs and solves any data/strategy problem.
Recommended for CDOs and all Data & Analytics Managers
The past 2 years have had a huge impact on organizations journeys to become data driven. Existing data architectures were disrupted; rigid structures and processes were questioned, and many data strategies were re-written.
On the one hand, the global pandemic emphasized the need for organizations to raise the bar, implement strategies, improve data literacy and culture, increase investments in data and analytics, and explore AI opportunities.
On the other, it also presented new challenges such as: the war for data talent and the wide literacy gap. Inadequate structures as well as outdated processes were exposed. Major changes in the data landscape (Data Fabric, Data Mesh, Transition to Data Clouds) will further disrupt existing data architectures and enhance the need for a new adaptive architecture and organization.
Becoming a Data-Driven Organization - Aligning Business & Data StrategyDATAVERSITY
More organizations are aspiring to become ‘data driven businesses’. But all too often this aim fails, as business goals and IT & data realities are misaligned, with IT lagging behind rapidly changing business needs. So how do you get the perfect fit where data strategy is driven by and underpins business strategy? This webinar will show you how by de-mystifying the building blocks of a global data strategy and highlighting a number of real world success stories. Topics include:
•How to align data strategy with business motivation and drivers
•Why business & data strategies often become misaligned & the impact
•Defining the core building blocks of a successful data strategy
•The role of business and IT
•Success stories in implementing global data strategies
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation, to marketing, to customer centricity, to population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
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.
Data Storytelling: The only way to unlock true insight from your dataBright North
Data visualisation is failing. Many businesses are relying on tools like Excel and PowerPoint to deliver an engaging data story without first establishing the plot. Bright North's latest whitepaper explains why Data Storytelling is the only way to unlock true insight from your data and lists five steps you can take to give your data story a happy ending.
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace from digital transformation, to marketing, to customer centricity, population health, and more. This webinar will help de-mystify data strategy and data architecture and will provide concrete, practical ways to get started.
DAS Slides: Building a Data Strategy – Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace from digital transformation, to marketing, to customer centricity, population health, and more. This webinar will help de-mystify data strategy and data architecture and will provide concrete, practical ways to get started.
BI Consultancy - Data, Analytics and StrategyShivam Dhawan
The presentation describes my views around the data we encounter in digital businesses like:
- Looking at common Data collection methodologies,
-What are the common issues within the decision support system and optimiztion lifecycle,
- Where are most of failing?
and most importantly, "How to connect the dots and move from Data to Strategy?"
I work with all facets of Web Analytics and Business Strategy and see the structures and governance models of various domains to establish and analyze the key performance indicators that allow you to have a 360º overview of online and offline multi-channel environment.
Apart from my experience with the leading analytic tools in the market like Google Analytics, Omniture and BI tools for Big Data, I am developing new solutions to solve complex digital / business problems.
As a resourceful consultant, I can connect with your team in any modality or in any form that meets your needs and solves any data/strategy problem.
Recommended for CDOs and all Data & Analytics Managers
The past 2 years have had a huge impact on organizations journeys to become data driven. Existing data architectures were disrupted; rigid structures and processes were questioned, and many data strategies were re-written.
On the one hand, the global pandemic emphasized the need for organizations to raise the bar, implement strategies, improve data literacy and culture, increase investments in data and analytics, and explore AI opportunities.
On the other, it also presented new challenges such as: the war for data talent and the wide literacy gap. Inadequate structures as well as outdated processes were exposed. Major changes in the data landscape (Data Fabric, Data Mesh, Transition to Data Clouds) will further disrupt existing data architectures and enhance the need for a new adaptive architecture and organization.
Becoming a Data-Driven Organization - Aligning Business & Data StrategyDATAVERSITY
More organizations are aspiring to become ‘data driven businesses’. But all too often this aim fails, as business goals and IT & data realities are misaligned, with IT lagging behind rapidly changing business needs. So how do you get the perfect fit where data strategy is driven by and underpins business strategy? This webinar will show you how by de-mystifying the building blocks of a global data strategy and highlighting a number of real world success stories. Topics include:
•How to align data strategy with business motivation and drivers
•Why business & data strategies often become misaligned & the impact
•Defining the core building blocks of a successful data strategy
•The role of business and IT
•Success stories in implementing global data strategies
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation, to marketing, to customer centricity, to population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
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.
Data Storytelling: The only way to unlock true insight from your dataBright North
Data visualisation is failing. Many businesses are relying on tools like Excel and PowerPoint to deliver an engaging data story without first establishing the plot. Bright North's latest whitepaper explains why Data Storytelling is the only way to unlock true insight from your data and lists five steps you can take to give your data story a happy ending.
Running up to their big Storytelling Lab Day this October, Ogilvy London asked some of its key partners to come in and talk about the many different aspects of storytelling week-by-week in the form of a Lab Lunch. This week JESS3 presented Visual Storytelling with Data to the Ogilvy team.
Creating a clearly articulated data strategy—a roadmap of technology-driven capability investments prioritized to deliver value—helps ensure from the get-go that you are focusing on the right things, so that your work with data has a business impact. In this presentation, the experts at Silicon Valley Data Science share their approach for crafting an actionable and flexible data strategy to maximize business value.
Targeting towards the health and human services communities, this presentation covers the importance of a data-driven culture, how to identify areas where data can be used to innovate and how to recognize the operational processes you must have in place to fully utilize your data.
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Slides for the webredacteuren meeting op june 28th 2011: http://www.webredacteuren.com/2011/06/kennissessie-3-doelgroepen-en-personas/
From time to time I am organizing an open workshop. Somewhere between Amsterdam and Düsseldorf:
Deutsch / German
www.creative-companion.com/Data-Storytelling-with-personas/persona-workshop-deutsch.html
Nederlands/Dutch
www.creative-companion.com/Data-Storytelling-with-personas/persona-workshop-nederlands.html
The numbers tell the story: 84% of C-suite executives believe they must leverage artificial intelligence (AI) to achieve their growth objectives, yet 76% report they struggle with how to scale. With the stakes higher than ever, what can we learn from companies that are successfully scaling AI, achieving nearly 3X the return on investments and an average 32% premium on key financial valuation metrics?
To answer that question, Accenture conducted a landmark global study involving 1,500 C-suite executives from organizations across 16 industries. The aim: Help companies progress on their AI journey, from one-off AI experimentation to gaining a robust organization-wide capability that acts as a source of competitive agility and growth.
Read the full report:
http://www.accenture.com/AI-Built-to-Scale-Slideshare
Improving Data Literacy Around Data ArchitectureDATAVERSITY
Data Literacy is an increasing concern, as organizations look to become more data-driven. As the rise of the citizen data scientist and self-service data analytics becomes increasingly common, the need for business users to understand core Data Management fundamentals is more important than ever. At the same time, technical roles need a strong foundation in Data Architecture principles and best practices. Join this webinar to understand the key components of Data Literacy, and practical ways to implement a Data Literacy program in your organization.
Data Modeling, Data Governance, & Data QualityDATAVERSITY
Data Governance is often referred to as the people, processes, and policies around data and information, and these aspects are critical to the success of any data governance implementation. But just as critical is the technical infrastructure that supports the diverse data environments that run the business. Data models can be the critical link between business definitions and rules and the technical data systems that support them. Without the valuable metadata these models provide, data governance often lacks the “teeth” to be applied in operational and reporting systems.
Join Donna Burbank and her guest, Nigel Turner, as they discuss how data models & metadata-driven data governance can be applied in your organization in order to achieve improved data quality.
This presentation was part of the IDS Webinar on Data Governance. It gives a brief overview of the history on Data Governance, describes how governing data has to be further developed in the era of business and data ecosystems, and outlines the contribution of the International Data Spaces Association on the topic.
Business Intelligence & Data Analytics– An Architected ApproachDATAVERSITY
Business intelligence (BI) and data analytics are increasing in popularity as more organizations are looking to become more data-driven. Many tools have powerful visualization techniques that can create dynamic displays of critical information. To ensure that the data displayed on these visualizations is accurate and timely, a strong Data Architecture is needed. Join this webinar to understand how to create a robust Data Architecture for BI and data analytics that takes both business and technology needs into consideration.
Artificial intelligence is reshaping business, and the time is ripe for companies to capitalise AI. The organisation can use AI to move their focus from discrete business problems to significant business challenges.
An organisation should use ML and Data Science to drive digital transformation for more back-office operational efficiency, better user/engagement, smoother onboarding, and better ROI by lowering cost and bring more data-driven taking mechanism for transparency.
AI will be a valuable, transformational change agent not only to the way business is done but to the way people live their daily lives if it isn't perceived as a plug-and-play technology with immediate returns but more like a long term solution to rewire the organisation.
We live in a data driven world. Our ability to generate and store data is increasing exponentially but, with data comes the need to analyse it and communicate it. Data stories such as infographics can bring facts to life, and is a way to simplify and help make sense and order out of a disparate collection of facts. Learn simple strategies to engage all students in authentic, integrated, inquiry learning which blends computational methods with digital graphics to visualise data in meaningful, interesting and more dynamic ways. See how you can engage your students in building effective stories from the hidden insights locked within the data they are exploring.
Data Management, Metadata Management, and Data Governance – Working TogetherDATAVERSITY
The data disciplines listed in the title must work together. The key to success requires understanding the boundaries and overlaps between the disciplines. Wouldn’t it be great to be able to present the relationships between the disciplines in a simple all-in diagram? At the end of this webinar, you will be able to do just that.
This new RWDG webinar with Bob Seiner will outline how Data Management, Metadata Management, and Data Governance can be optimized to work together. Bob will share a diagram that has successfully communicated the relationship between these disciplines to leadership resulting in the disciplines working in harmony and delivering success.
Bob will share the following in this webinar:
- Categories of disciplines focused on managing data as an asset
- A definition of Data Management that embraces numerous data disciplines
- The importance of Metadata -Management to all data disciplines
- Why data and metadata require formal governance
- A graphic that effectively exhibits the relationship between the disciplines
How to Build & Sustain a Data Governance Operating Model DATUM LLC
Learn how to execute a data governance strategy through creation of a successful business case and operating model.
Originally presented to an audience of 400+ at the Master Data Management & Data Governance Summit.
Visit www.datumstrategy.com for more!
Uncover how your business can save money and find new revenue streams.
Driving profitability is a top priority for companies globally, especially in uncertain economic times. It's imperative that companies reimagine growth strategies and improve process efficiencies to help cut costs and drive revenue – but how?
By leveraging data-driven strategies layered with artificial intelligence, companies can achieve untapped potential and help their businesses save money and drive profitability.
In this webinar, you'll learn:
- How your company can leverage data and AI to reduce spending and costs
- Ways you can monetize data and AI and uncover new growth strategies
- How different companies have implemented these strategies to achieve cost optimization benefits
Creating a Data-Driven Organization, Crunchconf, October 2015Carl Anderson
What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience.
Running up to their big Storytelling Lab Day this October, Ogilvy London asked some of its key partners to come in and talk about the many different aspects of storytelling week-by-week in the form of a Lab Lunch. This week JESS3 presented Visual Storytelling with Data to the Ogilvy team.
Creating a clearly articulated data strategy—a roadmap of technology-driven capability investments prioritized to deliver value—helps ensure from the get-go that you are focusing on the right things, so that your work with data has a business impact. In this presentation, the experts at Silicon Valley Data Science share their approach for crafting an actionable and flexible data strategy to maximize business value.
Targeting towards the health and human services communities, this presentation covers the importance of a data-driven culture, how to identify areas where data can be used to innovate and how to recognize the operational processes you must have in place to fully utilize your data.
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Slides for the webredacteuren meeting op june 28th 2011: http://www.webredacteuren.com/2011/06/kennissessie-3-doelgroepen-en-personas/
From time to time I am organizing an open workshop. Somewhere between Amsterdam and Düsseldorf:
Deutsch / German
www.creative-companion.com/Data-Storytelling-with-personas/persona-workshop-deutsch.html
Nederlands/Dutch
www.creative-companion.com/Data-Storytelling-with-personas/persona-workshop-nederlands.html
The numbers tell the story: 84% of C-suite executives believe they must leverage artificial intelligence (AI) to achieve their growth objectives, yet 76% report they struggle with how to scale. With the stakes higher than ever, what can we learn from companies that are successfully scaling AI, achieving nearly 3X the return on investments and an average 32% premium on key financial valuation metrics?
To answer that question, Accenture conducted a landmark global study involving 1,500 C-suite executives from organizations across 16 industries. The aim: Help companies progress on their AI journey, from one-off AI experimentation to gaining a robust organization-wide capability that acts as a source of competitive agility and growth.
Read the full report:
http://www.accenture.com/AI-Built-to-Scale-Slideshare
Improving Data Literacy Around Data ArchitectureDATAVERSITY
Data Literacy is an increasing concern, as organizations look to become more data-driven. As the rise of the citizen data scientist and self-service data analytics becomes increasingly common, the need for business users to understand core Data Management fundamentals is more important than ever. At the same time, technical roles need a strong foundation in Data Architecture principles and best practices. Join this webinar to understand the key components of Data Literacy, and practical ways to implement a Data Literacy program in your organization.
Data Modeling, Data Governance, & Data QualityDATAVERSITY
Data Governance is often referred to as the people, processes, and policies around data and information, and these aspects are critical to the success of any data governance implementation. But just as critical is the technical infrastructure that supports the diverse data environments that run the business. Data models can be the critical link between business definitions and rules and the technical data systems that support them. Without the valuable metadata these models provide, data governance often lacks the “teeth” to be applied in operational and reporting systems.
Join Donna Burbank and her guest, Nigel Turner, as they discuss how data models & metadata-driven data governance can be applied in your organization in order to achieve improved data quality.
This presentation was part of the IDS Webinar on Data Governance. It gives a brief overview of the history on Data Governance, describes how governing data has to be further developed in the era of business and data ecosystems, and outlines the contribution of the International Data Spaces Association on the topic.
Business Intelligence & Data Analytics– An Architected ApproachDATAVERSITY
Business intelligence (BI) and data analytics are increasing in popularity as more organizations are looking to become more data-driven. Many tools have powerful visualization techniques that can create dynamic displays of critical information. To ensure that the data displayed on these visualizations is accurate and timely, a strong Data Architecture is needed. Join this webinar to understand how to create a robust Data Architecture for BI and data analytics that takes both business and technology needs into consideration.
Artificial intelligence is reshaping business, and the time is ripe for companies to capitalise AI. The organisation can use AI to move their focus from discrete business problems to significant business challenges.
An organisation should use ML and Data Science to drive digital transformation for more back-office operational efficiency, better user/engagement, smoother onboarding, and better ROI by lowering cost and bring more data-driven taking mechanism for transparency.
AI will be a valuable, transformational change agent not only to the way business is done but to the way people live their daily lives if it isn't perceived as a plug-and-play technology with immediate returns but more like a long term solution to rewire the organisation.
We live in a data driven world. Our ability to generate and store data is increasing exponentially but, with data comes the need to analyse it and communicate it. Data stories such as infographics can bring facts to life, and is a way to simplify and help make sense and order out of a disparate collection of facts. Learn simple strategies to engage all students in authentic, integrated, inquiry learning which blends computational methods with digital graphics to visualise data in meaningful, interesting and more dynamic ways. See how you can engage your students in building effective stories from the hidden insights locked within the data they are exploring.
Data Management, Metadata Management, and Data Governance – Working TogetherDATAVERSITY
The data disciplines listed in the title must work together. The key to success requires understanding the boundaries and overlaps between the disciplines. Wouldn’t it be great to be able to present the relationships between the disciplines in a simple all-in diagram? At the end of this webinar, you will be able to do just that.
This new RWDG webinar with Bob Seiner will outline how Data Management, Metadata Management, and Data Governance can be optimized to work together. Bob will share a diagram that has successfully communicated the relationship between these disciplines to leadership resulting in the disciplines working in harmony and delivering success.
Bob will share the following in this webinar:
- Categories of disciplines focused on managing data as an asset
- A definition of Data Management that embraces numerous data disciplines
- The importance of Metadata -Management to all data disciplines
- Why data and metadata require formal governance
- A graphic that effectively exhibits the relationship between the disciplines
How to Build & Sustain a Data Governance Operating Model DATUM LLC
Learn how to execute a data governance strategy through creation of a successful business case and operating model.
Originally presented to an audience of 400+ at the Master Data Management & Data Governance Summit.
Visit www.datumstrategy.com for more!
Uncover how your business can save money and find new revenue streams.
Driving profitability is a top priority for companies globally, especially in uncertain economic times. It's imperative that companies reimagine growth strategies and improve process efficiencies to help cut costs and drive revenue – but how?
By leveraging data-driven strategies layered with artificial intelligence, companies can achieve untapped potential and help their businesses save money and drive profitability.
In this webinar, you'll learn:
- How your company can leverage data and AI to reduce spending and costs
- Ways you can monetize data and AI and uncover new growth strategies
- How different companies have implemented these strategies to achieve cost optimization benefits
Creating a Data-Driven Organization, Crunchconf, October 2015Carl Anderson
What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience.
Building a Data Strategy Your C-Suite Will SupportReid Colson
Being a data leader in any industry is an advantage that creates measurable financial benefits. Many studies have shown this – I’ve seen them from Bain, McKinsey, MIT and more. Since most firms are measured on profit, getting good at making data driven decisions is a key to being competitive. You can't get there without a plan. That is where a data strategy comes in.
In speaking with ~300 firms who indicated that their organizations were effective in using data and analytics, McKinsey found that construction of a data strategy was the number one contributing factor to their success. Being good at using data to drive decisions creates a meaningful profit advantage and those who are leaders indicated that the number one driver of their success was their data strategy.
This presentation will cover what a data strategy is, how to construct one, and how to get buy in from your executive team. The author is a former Fortune 500 Chief Data Officer and has held senior data roles at Capital One and Markel.
Here are a few helpful links for your data journey:
Free Data Investment ROI Template:
https://www.udig.com/digging-in/roi-calculator-for-it-projects/
Real world data use cases:
https://www.udig.com/our-work/?category=data
Contact Me:
https://www.udig.com/contact/
Data-Ed Webinar: Data Governance StrategiesDATAVERSITY
The data governance function exercises authority and control over the management of your mission critical assets and guides how all other data management functions are performed. When selling data governance to organizational management, it is useful to concentrate on the specifics that motivate the initiative. This means developing a specific vocabulary and set of narratives to facilitate understanding of your organizational business concepts. This webinar provides you with an understanding of what data governance functions are required and how they fit with other data management disciplines. Understanding these aspects is a necessary pre-requisite to eliminate the ambiguity that often surrounds initial discussions and implement effective data governance and stewardship programs that manage data in support of organizational strategy.
Takeaways:
Understanding why data governance can be tricky for most organizations
Steps for improving data governance within your organization
Guiding principles & lessons learned
Understanding foundational data governance concepts based on the DAMA DMBOK
The data governance function exercises authority and control over the management of your mission critical assets and guides how all other data management functions are performed. When selling data governance to organizational management, it is useful to concentrate on the specifics that motivate the initiative. This means developing a specific vocabulary and set of narratives to facilitate understanding of your organizational business concepts. This webinar provides you with an understanding of what data governance functions are required and how they fit with other data management disciplines. Understanding these aspects is a necessary pre-requisite to eliminate the ambiguity that often surrounds initial discussions and implement effective data governance and stewardship programs that manage data in support of organizational strategy.
Check out more webinars here: http://www.datablueprint.com/resource-center/webinar-schedule/
Creating a Data-Driven Organization, Data Day Texas, January 2016Carl Anderson
What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience.
Data Integrity: From speed dating to lifelong partnershipPrecisely
Governance has little to do with governance…it’s about delivering and demonstrating value. It’s one thing for your colleagues to intellectually believe in the value of data, good data, and governed data, but it’s another thing entirely to have them emotionally engaged and excited to be involved. In this presentation from the CDO Sit-Down series, Shaun Connolly, Vice President of International Strategic Services, shares his thoughts and experience on approaches to win over reluctant leaders and business teams and describe the key components of successful programs.
Data Governance Strategies - With Great Power Comes Great AccountabilityDATAVERSITY
Much like project team management and home improvement, data governance sounds a lot simpler than it actually is. In a nutshell, data governance is the process by which an organization delegates responsibility and exercises control over mission-critical data assets. In practice, though, data governance directs how all other data management functions are performed, meaning that much of your data management strategy’s capacity to function at all depends on your effectiveness in governing its implementation. Understanding these aspects of governance is necessary to eliminate the ambiguity that often surrounds effective data management and stewardship programs, since the goal of governance is to manage the data that supports organizational strategy.
This webinar will:
-Illustrate what data governance functions are required for effective data management, how they fit with other data management disciplines, and why data governance can be tricky for many organizations
-Help you develop a detailed vocabulary and set of narratives to facilitate understanding of your business objectives and imperatives that demand governance
-Provide direction for selling data governance to organizational management as a specifically motivated initiative
Learn how you can drive your business forward with confidence by making decisions based on actionable insights gained from organizational data in real-time.
5 Steps to Transform into a Data-Driven Organization - Ganes Kesari - Gramen...Ganes Kesari
This session was presented on May 27th, 2021, in a Webinar organized by Gramener.
https://info.gramener.com/5-steps-to-transform-into-data-driven-organization
Session Details:
Today, organizations struggle to get value from data despite significant investments. Did you know that there's one factor that influences the outcomes of all your data initiatives?
This webinar will highlight how an organization's data maturity influences its performance. It will show how you can assess your data maturity and plan the five steps for data-driven business transformation.
Pain points we would be discussing:
Most organizations stagnate midway in their data journey.
Gartner says that over 87% of organizations in the industry are at lower levels of data maturity (levels 1 and 2 on a scale of 5).
Just doing more data science projects will not improve your capabilities or outcomes. The fact is that the top challenges reported by CDOs fall into five common areas.
This webinar will show what they are and how you can tackle them.
Who should attend
- Executives, Chief Data/Analytics Officers, Technology leaders, Business heads, Managers
What Will You Learn?
- What is data science maturity, and why does it matter?
- How do you assess data science maturity and limitations of the assessment?
- How can data science maturity help your organization level up (explained with an example)?
Data Driven Culture with Slalom's Director of AnalyticsPromotable
Everyone wants to capture the benefits of big data by making better data driven decision. We are inundated by analytical tools that deliver "insights" and process information quickly.
Although often overlooked, creating a data driven culture is as important as finding the right tools to make data driven decisions. Organizations who skip this foundational element often find their investment in Data tools and personal don't yield the benefits that becoming Data Driven is supposed to unlock.
In this talk you'll learn about why creating a Data Driven culture is vital to every organization and the starting point for ensuring your data strategy generates strong impact and ROI.
Takeaways:
What is a data driven culture? Where does it start?
What happens when you implement tools (tableau, power BI, Machine Learning, etc) without first having a data driven culture
Stages of a Data Driven Culture?
How to get started?
Your Instructor: Kevin Chapin is the Practice Director for Data and Analytics at Slalom Consulting.
To see the full talk, click here: https://www.youtube.com/watch?v=7xNLgiK31Is
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2. Your Hosts Today
Jason Beres
Senior VP, Developer Tools
jasonb@Infragistics.com
Casey McGuigan
Product Manager, Reveal
cmcguigan@Infragistics.com
revealbi.io
3. Join us for future
Summer of BI webinars!
June 10th: Dashboard Best Practices, Do’s and Don’ts
June 24th:Building a Data Driven Culture
July 8th: Advanced Analytics: Using R & Python
July 22nd: Advanced Analytics: Machine Learning with Reveal
Aug 5th: Embedded Analytics: 5 Steps to App Modernization
Aug 15th: Data Prep & Data Blending
https://www.infragistics.com/webinars
revealbi.io
4. Today’s Agenda
1. What It Means to be Data-Driven
2. The Benefits to Bring Data-Driven
3. Building Blocks for Becoming Data-Driven
4. Reveal Demo
5. Wrap Up
House Keeping
• Recording and slides will be available after the webinar.
We’ll send a follow-up email
• Please ask questions in the Questions window
5. What is a Data-Driven Culture?
Instilling trust and commitment for all members in your organization to
collaborate fluidly with transparency based on shared metrics with data at
their finger's tips.
Discovering new trends and pinpointing leaks in your customer funnel to act
more effectively with data-driven insights into your entire customer journey.
When data is the primary resource for insights across every department in
your organization you can make smarter-business decisions – this replaces
decisions based on assumptions and “gut feeling”.
6. The role of data and
analytics is changing, from
being a stand-alone
discipline to becoming a
catalyst for digital strategy
or transformation.
“How to Craft a Modern, Actionable Data and
Analytics Strategy That Delivers Business
Outcome”, Gartner
Why a Data-
Driven Culture
Matters
OPTIMIZING BUSINESS OUTCOMES
AND PERFORMANCE THROUGH
METRICS
EXPERIMENTAL DECISION-MAKING
ADDRESSING CULTURAL RESISTANCE
TO ADOPTING A MORE DATA-
DRIVEN APPROACH
TOOLING TO FACILITATE DATA
STORYTELLING, COLLABORATION
AND SHARING
7. 65% of data science
projects are not
operationalized, even
though it is easier than
ever to access data and
create analyses.
- Gartner
You can increase customer acquisition and retention
through:
• Analytics
• Insights
• and Acting on the Insights
The volume of data available today is mind-boggling:
• There are 2.5 quintillion bytes of data created each day
• Over the last two years alone 90 percent of the data in
the world was generated
Why a Data-
Driven Culture
Matters
8. By 2023, a Digital Ops
mindset will be the key
reason for more than half
of large enterprises
meeting their digital
transformation goals.
Benefits of Data
Driven Decisions
Making More Confident
Decisions
When you can better understand the
impact of your decisions – you will be more
confident in making them.
Becoming More Proactive
Identify business opportunities, customer
journey leaks, weakness in your product
before they grow into serious problems.
Company Success & Longevity
A more agile organization that can pivot and
maximize its resources will succeed
Awareness & Transparency
Keep everyone in your organization in the
know, aware of company goals, customer
satisfaction, etc.
Identify New Revenues of
Growth
Tying company insights into market trends
can help discover new revenue streams
Answer the Why
Gain a deeper insight into your customers
journeys, identify funnel leaks and success
points to drive acquisition
9. Building Blocks for a Data-Driven Culture
LEADERSHIP TRUST COMMITMENT METRICS DATA LITERACY TRAINING
10. Leadership
“Embed data and analytics
into business strategy and
digital transformation by
creating a vision of a data-
driven enterprise,
quantifying and
communicating business
outcomes and fostering
business changes fueled by
data”
Gartner, “How to Craft a Modern,
Actionable Data and Analytics
Strategy That Delivers Business
Outcomes”
1 Building a data-driven culture starts at the very top of
your organization.
Leaders need to shift the mindset of the organization
to begin embracing data and alter the way everyone
approaches decision making.
• Actively using data daily.
• Make a point to ask for data prior to making
decisions to enforce data-driven decision making.
• Communicate KPIS through different channels
such as email, presentation, meetings etc.
• Set aside time for training yourself as an executive
to learn new data skills.
• Display metrics digitally through of office and
company webpages to keep data right at the
forefront.
11. Trust
“By 2020, 90% of corporate
strategies will explicitly
mention information as a
critical enterprise asset and
analytics as an essential
competency.”
- Gartner
2 Creating a single source of truth for your company will
allow you too:
• Eliminate any “he-said-she-said” – when data is all
being pull from the same location everyone is
looking at the same metrics.
• Spend less time hunting for data
• Enable employees who really know the business
and the data to instill trust in other that
information is accurate
• Expand insights across departments when
everyone has access and transparency.
• Create less work for your data administrator when
managing the organizational data is all in one
location
12. Commitment
“By 2022, more than half of
major new business systems
will incorporate continuous
intelligence that uses real-
time context data to
improve decisions.”
- Gartner
3 Creating a data-driven culture relies on long-term
commitment from everyone in the organization. This
initiative cannot be a set it and forget it process. To
ensure commitment long term:
• Ensure analytics tied back to critical business
efforts
• Keep data at the forefront of employee coaching
• Make sure team goals are always present for
gauging team performance
• Investing in AI technologies will keep data present
13. Metrics
(that Matter)
“Trying to force people to
conform their work to
preestablished numerical
goals tends to stifle
innovation and creativity—
valuable qualities in most
settings. And it almost
inevitably leads to a
valuation of short-term
goals over long-term
purposes.”
- Jerry Z. Muller, The Tyranny of
Metrics
4 Ensure your organization is fully equipped to changing the
culture to be data driven:
• Choose the right KPI’s to measure success
• Research and look at historical data to set realistic
goals
• Identify new technology needed for the organization
to access and analyze data
• Assign data administrators responsible for ensuring
accurate data and providing the proper access to the
organization
14. Data Literacy
“By 2023, data literacy will
become an explicit and
necessary driver of business
value, demonstrated by its
formal inclusion in over 80%
of data and analytics
strategies and change
management programs.”
- Gartner
5 Adjusting to working with data means changing the
way we operate in our day to day activities. This means
that people may not have the needed skills to be data-
driven out of the box.
Developing a data literacy plan across organizations
means:
• Ensuring employees understand what data means
• Read business charts and graphs
• Knowing how to use visualizations with data
• Be able to draw correct conclusions from reading
data and applying to visualizations
• Be able to recognize when data is being used to
mislead or when it promotes data bias
15. Training
“Every beginner possesses a
great potential to be an
expert in his or her chosen
field.”
― Lailah Gifty Akita, Think Great: Be
Great!
6 Data can only make an impact if its incorporated in
the decision-making process
• Training employees on “how” to get to data is
just the beginning
• How to turn that data into “actionable insight” is
the real goal
– What tools do you currently have or need to acquire?
– Is data readily available? REST API’s, Odata, direct
connections?
– Does my team understand data visualizations?
– Do we hire a data scientist or build from within?
– Can we do effective Data Storytelling?
Find key stakeholders in the business that have the
visibility and data mindset, give them data literacy
training and empower them to promote a data-
driven culture in your organization
16. Then … Why don’t we all
have a data-driven culture?
17. “He who
conquers
himself is the
mightiest
warrior.”
― Confucius
Lack of Leadership1
Lack of Trust2
Lack of Commitment3
Lack of Metrics (that Matter)4
Lack of Data Literacy5
Lack of Training6
18. Tools to collaborate, share and tell data
stories are foundational in a
data-driven culture
21. “Don’t let your
enterprise get
behind – start
promoting a
data-driven
culture today!”
― Casey
Show Leadership1
Promote Trust2
Demonstrate Commitment3
Create Metrics (that Matter)4
Study Data Literacy5
Train Everyone!6
22. Use Reveal to Promote a
Data-Driven Culture!
Start Now at revealbi.io
Contact Us for a Personalized Demo! sales@infragistics.com
23. Email Us with Questions!
Jason Beres
Senior VP, Developer Tools
jasonb@Infragistics.com
Casey McGuigan
Product Manager, Reveal
cmcguigan@Infragistics.com
revealbi.io
