The objective of Digital Transformation is improve the quality and resilience of digital services to serve customers better, and data is a cruel part of fulfilling that ambition. As the organisation moves forward in pursuit of its strategic ambitions, it will need to remain focused on the stabilisation and improvement of existing technology and data foundations. To succeed, organisations need continuously strive to improve data, systems and processes for people using digital solutions; it is not simply digitising paper processes. The challenge of digital transformation is to work with people, but how can you build systems that serve them well to achieve and deliver more in a customer-focused way? Innovators will relish the opportunity to adopt new technology, but laggars are often waiting for proof that this will help them deliver better services or products. The challenge is that the adoption of digital solutions varies significantly from one person to the next, one team to the next and one organisation to the next. In this keynote, there will be a discussion of the industry landscape followed by takeaways that will help digital transformation in your organization.
1. Do more than get the basics right
2. Build confidence in changes through better use of data
3. How to oversee delivery while considering strategy
Is your organization struggling to navigate the Digital Transformation jungle? We've tapped into the minds of top IT and tech experts to get you the insights you'll need to find your way out of the wilderness!
Data-Driven is Passé: Transform Into An Insights-Driven EnterpriseDenodo
Watch the full webinar: http://goo.gl/c5rlCM
Speakers: Holger Kisker, Ph.D., Vice President and Research Director at Forrester Research Inc.
Listen to Holger Kisker, Vice President and Research Director at Forrester Research Inc., describe the three step plan for organizations to become insights-driven rather than data-driven enterprises. Adopting systems of insight and embedding them into your organization’s systems of engagement, record, and automation allows you to turn data into action. As a final step, data virtualization can help keep all systems in synch, being a key enabler for systems of insight.
Are you a Digital Transformation leader? Can you create a high-performance strategy in the digital age? Have you got what it takes to avoid the tumbling barrels of distracting digital tactics, over hyped technology or the belief that your market is immune to disruption? Have you allocated the right resources to deliver a focused plan of transformation?
Many key performance indicators on healthcare dashboards fail to drive real results or are missing key organizational improvement indicators. Microsoft SQL Server 2012 and SharePoint 2013 provide the perfect combination for creating compelling dashboards and scorecards, especially for healthcare organizations working to lower costs, improve productivity and meet regulatory reporting demands.
In this slideshare, we look at the business side of key performance indicators:
How to convert your critical success factors and annual strategic plan into meaningful dashboards for real change in your organization
How your KPIs have the potential to make a significant, positive impact on the business
Is your organization struggling to navigate the Digital Transformation jungle? We've tapped into the minds of top IT and tech experts to get you the insights you'll need to find your way out of the wilderness!
Data-Driven is Passé: Transform Into An Insights-Driven EnterpriseDenodo
Watch the full webinar: http://goo.gl/c5rlCM
Speakers: Holger Kisker, Ph.D., Vice President and Research Director at Forrester Research Inc.
Listen to Holger Kisker, Vice President and Research Director at Forrester Research Inc., describe the three step plan for organizations to become insights-driven rather than data-driven enterprises. Adopting systems of insight and embedding them into your organization’s systems of engagement, record, and automation allows you to turn data into action. As a final step, data virtualization can help keep all systems in synch, being a key enabler for systems of insight.
Are you a Digital Transformation leader? Can you create a high-performance strategy in the digital age? Have you got what it takes to avoid the tumbling barrels of distracting digital tactics, over hyped technology or the belief that your market is immune to disruption? Have you allocated the right resources to deliver a focused plan of transformation?
Many key performance indicators on healthcare dashboards fail to drive real results or are missing key organizational improvement indicators. Microsoft SQL Server 2012 and SharePoint 2013 provide the perfect combination for creating compelling dashboards and scorecards, especially for healthcare organizations working to lower costs, improve productivity and meet regulatory reporting demands.
In this slideshare, we look at the business side of key performance indicators:
How to convert your critical success factors and annual strategic plan into meaningful dashboards for real change in your organization
How your KPIs have the potential to make a significant, positive impact on the business
We conducted a groundbreaking survey of the UK’s data and business professionals to get a snapshot of the state of the world of data, uncover some of the issues facing the industry and get a sense of the changes on the horizon. The results were enlightening, and in some cases, very surprising.
Find out:
Why nearly a third of IT Directors feel their organisation uses data poorly
What the hybrid data manager of the future will look like
Why understanding customer behaviour remains the holy grail for so many
We conducted a ground-breaking survey of the UK’s data and business professionals to get a snapshot of the state of the world of data, uncover some of the issues facing the industry and get a sense of the changes on the horizon. The results were enlightening, and in some cases, very surprising.
We conducted a survey of the UK's data and business professionals to get a snapshot of the state of the world of data, uncover some of the issues facing the industry and get a sense of the changes on the horizon. The results were enlightening, and in some cases, very surprising.
Learn how you can drive your business forward with confidence by making decisions based on actionable insights gained from organizational data in real-time.
Digital Fitness - A Way to IT's New NormalSage IT Inc.
As reality sets in, enterprises will now scramble to reset long-term plans while taking hasty and chaotic near-term actions to survive and many enterprises may not even survive in this global downturn.
IT now plays a more prominent role in overcoming the business challenge during this global economic downturn. Survivability of any organization will depend on the Digital Fitness of IT. Convergence of Processes, Systems and Data at Scale and Speed are some of the ingredients that go into a Digital Fitness.
Traditionally, IT has been measured as a necessary expense for doing business, be it OPEX or CAPEX. This metric doesn’t really tell the story anymore. Financial metrics don’t really measure the fitness level of IT to support business. In this “new normal,” IT must be measured by the flexible, nimble, composable, and consumable attributes of business.
Explore how IT leaders can create a Digital Fitness plan by taking short-term, mid-term and long-term actions, embracing the new normal.
Key Takeaways -
- How to Respond to the Unprecedented Times
- Defining Digital Fitness and IT’s New Normal
- Organizational Impedances towards Digital Fitness
- Behavior and Organization for IT’s New Normal
- Digital Fitness Roadmap and Metrics to Measure Success
For more details, write to us at marketing@sageitinc.com
Website - www.sageitinc.com
Voiceover of this ppt - https://www.youtube.com/watch?v=47VKJ1OqAf0
5 Steps To Become A Data-Driven Organization : WebinarGramener
Gramener's Chief Data Scientist and Co-founder Ganes Kesari conducted an interesting webinar that will give you an idea of how to analyze your data maturity and plan the five steps to transforming your business using data.
Who should watch this webinar?
Executives, Chief Data/Analytics Officers, Technology leaders, Business heads, Directors, and Managers.
Important points discussed on the webinar:
-The majority of businesses reach a halt in the middle of their data journey.
-According to Gartner, approximately 87% of companies in the business have a poor degree of data maturity (levels 1 and 2 on a scale of 5).
-Adding more data science projects to your portfolio will not boost your talents or results. The truth is that CDOs' primary issues are divided into five categories.
Learnings from this webinar:
-Data Science Maturity. What is it and why is it important?
-How can you determine the maturity of data science and its limitations?
-How does data science maturity (described with an example) assist your business in progressing?
Watch the full webinar on:
https://info.gramener.com/5-steps-to-transform-into-data-driven-organization
To know more about Data Maturity visit:
https://gramener.com/data-maturity/#
Ways to Make Business Intelligence Work for Your Small BusinessSpiceworks
In this first 60-minute webinar in the series, Spiceworks and CDW team up to provide answers to your questions on business intelligence - a subject that's becoming increasingly important to small businesses.
THE DATAFICATION OF TALENT MANAGEMENT: HOW PEOPLE ANALYTICS LEADS TO STRATEGI...Human Capital Media
According to Bersin by Deloitte’s HR Technology Disruptions for 2018 report: people analytics is now “a must-have domain within HR.”
The global economic recovery, compounded by demographic shifts, has moved power from employers to employees, turning talent into a seller’s market. As a result, the workforce is increasingly a core strategic consideration and top concern of the C-suite. Yet the most commonly monitored talent metrics do very little to deliver true insight into the workforce and its impact on the business–and Talent Management’s readiness to report more than basic metrics remains a serious issue.
Talent Management needs to graduate from metrics to people analytics–from information that only guides tactics to insights that drive strategy–and discover the important connections and patterns in their data that enable better workforce decisions. Join expert Dave Weisbeck as he discusses how Talent Management can use people analytics to achieve strategic excellence and play a more critical role in driving business performance than ever before.
In this informative webinar, Dave will show you how to transform your Talent Management, ramping up from basic operational reporting to strategic people analytics and workforce planning.
Topics will include:
Global and technological trends shaping the Datafication of Talent Management
How Talent Management can move up the people analytics maturity curve
What impact the advent of the people strategy platform plays in analytics maturity
Practical examples of how to graduate from metrics to people analytics in:
Recruiting Effectiveness
Performance Management
Talent Retention
Comp & Benefits
Workforce Costs
Common pitfalls to avoid with people analytics
Register for this engaging webinar to learn the ins and outs of the datafication of Talent Management and what impact it has your organization.
These slides--based on the webinar hosted by leading IT analyst firm Enterprise Management Associates (EMA) and Digitate--provide insights into the impact of machine learning on managing workload automation.
We’ve worked with Executives and IT leaders for over 30 years, and the single most common complaint we hear from them is their profound frustration with the lack of results and transparency from their never-ending IT investments.
To add further complexity, the demand for digital products and services has made it increasingly difficult for organizations to make ongoing investments and balance the need for innovation with optimization.
The latest data, combined from global enterprises, big consulting and research firms, makes the case that companies need to urgently act to address the digital disruption of their business and their related skills gaps. The data shows that 70% of digital business initiatives are likely to fail to deliver business growth, due to lack of business process and product innovation, as well as poor organizational adaptability.
Poor governance and legacy product management processes to align business and IT initiatives, coupled with insufficient leadership engagement across the organization, are the main reason most companies are wasting money on IT.
This thought paper speaks to these challenges and how optimizing both technology innovation and cross-organizational engagement will accelerate the positive business outcomes that organizations are looking to achieve especially in lieu of increasing digital disruption.
Authors - Alex Adamopoulos and Bob Kantor
Basics of BI and Data Management (Summary).pdfamorshed
Basics of Business Intelligence and Data Management
BI Architecture
How BI works?
DMBOK framework
what is Data literacy
Data quality
Data Governance
what is self-service or modern BI
Power BI Architecture
How Power BI Works
BI Implementation steps
What is Digital Transformation? And how can it be measured?
Many organisation think that spending and investing money into new technologies is enough to grant a successful Digital Transformation. Yet, despite the exponential increase in technology spending, only 1 in 8 companies are getting digital transformation right.
Why is that?
The first reason is the assumption that digital transformation requires technology: while technology is an enabler and supports the transformation of the organisation, only an appropriate change management approach and a focus on customer experience and the relationship organisations have with their customers and their employees can lead to positive transformations.
In order to fully understand how an organisation is doing in the area of Digital Transformation, this deck provides some insights and a set of KPIs to support organisations to assess how they are doing and what to improve to be one of the few companies that are successfully achieving the full potential of digital.
Utilize a Disruptive Analytics Approach to Deliver Great Digital ExperiencesRyan Bateman
Let's review a little misunderstanding our friends in IT (Development, Operations) and on the Business (Customer Service, Product, Marketing, Leadership) side have on the topic of Customer Experience (CX) analytics.
Ten Years of TechSoup Canada: Insights, ideas, and tips from a decade of #nptechTechSoup Canada
In 2019, TechSoup Canada turns 10! The past decade has taught us a lot about using technology as a tool for social impact, and we are eager to share that knowledge with you.
In our team's special 10 Year Anniversary webinar we explore the lessons of the past decade, trends shaping nonprofit technology today, and tips and tricks for making the most of your TechSoup Canada membership.
What you will learn:
-Key lessons from a decade of helping Canadian nonprofits use tech more effectively
-Tech trends to embrace and which ones to approach more cautiously
-Tips and tricks for maximizing your TechSoup Canada membership
The IT Organization and Governance Model beyond 2014:
- What is happening around you?
- What is more important than ever influencing IT?
- What does that mean for your IT strategy?
- How to derive your Lean IT Organization and Governance Model from your updated IT strategy?
- How to implement your Lean IT Organization and Governance Model?
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
AI Applications in Healthcare and Medicine.pdfJen Stirrup
This session was delivered for the Global Business Roundtable. The topic: AI applications in Healthcare and Medicine. In this session, Jennifer Stirrup takes people through a general process of adopting AI in their organisations.
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We conducted a groundbreaking survey of the UK’s data and business professionals to get a snapshot of the state of the world of data, uncover some of the issues facing the industry and get a sense of the changes on the horizon. The results were enlightening, and in some cases, very surprising.
Find out:
Why nearly a third of IT Directors feel their organisation uses data poorly
What the hybrid data manager of the future will look like
Why understanding customer behaviour remains the holy grail for so many
We conducted a ground-breaking survey of the UK’s data and business professionals to get a snapshot of the state of the world of data, uncover some of the issues facing the industry and get a sense of the changes on the horizon. The results were enlightening, and in some cases, very surprising.
We conducted a survey of the UK's data and business professionals to get a snapshot of the state of the world of data, uncover some of the issues facing the industry and get a sense of the changes on the horizon. The results were enlightening, and in some cases, very surprising.
Learn how you can drive your business forward with confidence by making decisions based on actionable insights gained from organizational data in real-time.
Digital Fitness - A Way to IT's New NormalSage IT Inc.
As reality sets in, enterprises will now scramble to reset long-term plans while taking hasty and chaotic near-term actions to survive and many enterprises may not even survive in this global downturn.
IT now plays a more prominent role in overcoming the business challenge during this global economic downturn. Survivability of any organization will depend on the Digital Fitness of IT. Convergence of Processes, Systems and Data at Scale and Speed are some of the ingredients that go into a Digital Fitness.
Traditionally, IT has been measured as a necessary expense for doing business, be it OPEX or CAPEX. This metric doesn’t really tell the story anymore. Financial metrics don’t really measure the fitness level of IT to support business. In this “new normal,” IT must be measured by the flexible, nimble, composable, and consumable attributes of business.
Explore how IT leaders can create a Digital Fitness plan by taking short-term, mid-term and long-term actions, embracing the new normal.
Key Takeaways -
- How to Respond to the Unprecedented Times
- Defining Digital Fitness and IT’s New Normal
- Organizational Impedances towards Digital Fitness
- Behavior and Organization for IT’s New Normal
- Digital Fitness Roadmap and Metrics to Measure Success
For more details, write to us at marketing@sageitinc.com
Website - www.sageitinc.com
Voiceover of this ppt - https://www.youtube.com/watch?v=47VKJ1OqAf0
5 Steps To Become A Data-Driven Organization : WebinarGramener
Gramener's Chief Data Scientist and Co-founder Ganes Kesari conducted an interesting webinar that will give you an idea of how to analyze your data maturity and plan the five steps to transforming your business using data.
Who should watch this webinar?
Executives, Chief Data/Analytics Officers, Technology leaders, Business heads, Directors, and Managers.
Important points discussed on the webinar:
-The majority of businesses reach a halt in the middle of their data journey.
-According to Gartner, approximately 87% of companies in the business have a poor degree of data maturity (levels 1 and 2 on a scale of 5).
-Adding more data science projects to your portfolio will not boost your talents or results. The truth is that CDOs' primary issues are divided into five categories.
Learnings from this webinar:
-Data Science Maturity. What is it and why is it important?
-How can you determine the maturity of data science and its limitations?
-How does data science maturity (described with an example) assist your business in progressing?
Watch the full webinar on:
https://info.gramener.com/5-steps-to-transform-into-data-driven-organization
To know more about Data Maturity visit:
https://gramener.com/data-maturity/#
Ways to Make Business Intelligence Work for Your Small BusinessSpiceworks
In this first 60-minute webinar in the series, Spiceworks and CDW team up to provide answers to your questions on business intelligence - a subject that's becoming increasingly important to small businesses.
THE DATAFICATION OF TALENT MANAGEMENT: HOW PEOPLE ANALYTICS LEADS TO STRATEGI...Human Capital Media
According to Bersin by Deloitte’s HR Technology Disruptions for 2018 report: people analytics is now “a must-have domain within HR.”
The global economic recovery, compounded by demographic shifts, has moved power from employers to employees, turning talent into a seller’s market. As a result, the workforce is increasingly a core strategic consideration and top concern of the C-suite. Yet the most commonly monitored talent metrics do very little to deliver true insight into the workforce and its impact on the business–and Talent Management’s readiness to report more than basic metrics remains a serious issue.
Talent Management needs to graduate from metrics to people analytics–from information that only guides tactics to insights that drive strategy–and discover the important connections and patterns in their data that enable better workforce decisions. Join expert Dave Weisbeck as he discusses how Talent Management can use people analytics to achieve strategic excellence and play a more critical role in driving business performance than ever before.
In this informative webinar, Dave will show you how to transform your Talent Management, ramping up from basic operational reporting to strategic people analytics and workforce planning.
Topics will include:
Global and technological trends shaping the Datafication of Talent Management
How Talent Management can move up the people analytics maturity curve
What impact the advent of the people strategy platform plays in analytics maturity
Practical examples of how to graduate from metrics to people analytics in:
Recruiting Effectiveness
Performance Management
Talent Retention
Comp & Benefits
Workforce Costs
Common pitfalls to avoid with people analytics
Register for this engaging webinar to learn the ins and outs of the datafication of Talent Management and what impact it has your organization.
These slides--based on the webinar hosted by leading IT analyst firm Enterprise Management Associates (EMA) and Digitate--provide insights into the impact of machine learning on managing workload automation.
We’ve worked with Executives and IT leaders for over 30 years, and the single most common complaint we hear from them is their profound frustration with the lack of results and transparency from their never-ending IT investments.
To add further complexity, the demand for digital products and services has made it increasingly difficult for organizations to make ongoing investments and balance the need for innovation with optimization.
The latest data, combined from global enterprises, big consulting and research firms, makes the case that companies need to urgently act to address the digital disruption of their business and their related skills gaps. The data shows that 70% of digital business initiatives are likely to fail to deliver business growth, due to lack of business process and product innovation, as well as poor organizational adaptability.
Poor governance and legacy product management processes to align business and IT initiatives, coupled with insufficient leadership engagement across the organization, are the main reason most companies are wasting money on IT.
This thought paper speaks to these challenges and how optimizing both technology innovation and cross-organizational engagement will accelerate the positive business outcomes that organizations are looking to achieve especially in lieu of increasing digital disruption.
Authors - Alex Adamopoulos and Bob Kantor
Basics of BI and Data Management (Summary).pdfamorshed
Basics of Business Intelligence and Data Management
BI Architecture
How BI works?
DMBOK framework
what is Data literacy
Data quality
Data Governance
what is self-service or modern BI
Power BI Architecture
How Power BI Works
BI Implementation steps
What is Digital Transformation? And how can it be measured?
Many organisation think that spending and investing money into new technologies is enough to grant a successful Digital Transformation. Yet, despite the exponential increase in technology spending, only 1 in 8 companies are getting digital transformation right.
Why is that?
The first reason is the assumption that digital transformation requires technology: while technology is an enabler and supports the transformation of the organisation, only an appropriate change management approach and a focus on customer experience and the relationship organisations have with their customers and their employees can lead to positive transformations.
In order to fully understand how an organisation is doing in the area of Digital Transformation, this deck provides some insights and a set of KPIs to support organisations to assess how they are doing and what to improve to be one of the few companies that are successfully achieving the full potential of digital.
Utilize a Disruptive Analytics Approach to Deliver Great Digital ExperiencesRyan Bateman
Let's review a little misunderstanding our friends in IT (Development, Operations) and on the Business (Customer Service, Product, Marketing, Leadership) side have on the topic of Customer Experience (CX) analytics.
Ten Years of TechSoup Canada: Insights, ideas, and tips from a decade of #nptechTechSoup Canada
In 2019, TechSoup Canada turns 10! The past decade has taught us a lot about using technology as a tool for social impact, and we are eager to share that knowledge with you.
In our team's special 10 Year Anniversary webinar we explore the lessons of the past decade, trends shaping nonprofit technology today, and tips and tricks for making the most of your TechSoup Canada membership.
What you will learn:
-Key lessons from a decade of helping Canadian nonprofits use tech more effectively
-Tech trends to embrace and which ones to approach more cautiously
-Tips and tricks for maximizing your TechSoup Canada membership
The IT Organization and Governance Model beyond 2014:
- What is happening around you?
- What is more important than ever influencing IT?
- What does that mean for your IT strategy?
- How to derive your Lean IT Organization and Governance Model from your updated IT strategy?
- How to implement your Lean IT Organization and Governance Model?
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
AI Applications in Healthcare and Medicine.pdfJen Stirrup
This session was delivered for the Global Business Roundtable. The topic: AI applications in Healthcare and Medicine. In this session, Jennifer Stirrup takes people through a general process of adopting AI in their organisations.
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In this session, we will start R right from the beginning, from installing R through to datatransformation and integration, through to visualizing data by using R in PowerBI. Then, we will move towards powerful but simple to use datatypes in R such as data frames. We will also upgrade our data analysis skills by looking at Rdata transformation using a powerful set of tools to make things simple: the tidyverse. Then, we will look at integrating our R work into Power BI, and visualizing our data using beautiful visualizations with R and Power BI. Finally, we will share our work by publishing our Power BI project, with our R code, to the Power BI service. We will also look at refreshing our dataset so that our new dashboard has refreshed data.
This session is aimed at getting beginners up to speed as gently and quickly as possible. Join this session if you are curious about R and want to know more. If you are already a Power BI expert, join this session to open up a whole new world of Power BI to add toyour skill set. If you are new to Power BI, you will still get value from this session since you'll be able to see a Power BI dashboard being built in an end-to-end solution.
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Artificial Intelligence has been receiving some bad press recently, with respect to its ethical consequences in terms of changes to working conditions, deepfake technology and even job losses. Organizations are concerned about bias in their data, perpetuating stereotypes and neglecting responsibility. How can AI systems treat all people fairly? What about concerns of safety and reliability?
In this keynote, we will explore the toolkits available in Azure to help businesses to navigate the complex ethics environment. Join this session to understand what Microsoft can offer in terms of supporting organisations to consider ethics as an integral part of their AI solutions.
1 Introduction to Microsoft data platform analytics for releaseJen Stirrup
Part 1 of a conference workshop. This forms the morning session, which looks at moving from Business Intelligence to Analytics.
Topics Covered: Azure Data Explorer, Azure Data Factory, Azure Synapse Analytics, Event Hubs, HDInsight, Big Data
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In this segment, we look at technologies such as HDInsight, Azure Databricks, Azure Data Lake Analytics and Apache Spark. We compare the technologies to help you to decide the best technology for your situation.
Introduction to Analytics with Azure Notebooks and PythonJen Stirrup
Introduction to Analytics with Azure Notebooks and Python for Data Science and Business Intelligence. This is one part of a full day workshop on moving from BI to Analytics
When looking at Sales Analytics, where should you start? What should you measure? This session provides ideas on sales metrics, implemented in Power BI
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This presentation is aimed at people who want to *do* something positive for diversity and inclusion in their workplaces and communities, but don't know where to start to have a quick impact. I've made up a checklist of 7 'E's to help people along. We cover crucial topics such as: • What can we do to tackle unconscious bias in our systems, solutions and interactions with others? • How can we be more inclusive towards others? • How can we encourage and mentor younger generations to get involved in STEM topics and technical roles both as leaders and in the communities of people who surround us? I hope you enjoy this interactive and thought-provoking discussion of diversity and inclusion, aimed at people who want to get started and do something positive and impactful to help others.
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What is AI from the Business perspective? In this presentation, Jen Stirrup discusses the 8 'C's of Artificial Intelligence from the business leadership perspective.
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Keynote from AI World Congress in October 2019. Artificial Intelligence isn't just for the technies; it is crucial that business-oriented individuals adopt this technology, which can be conceived as the fourth industrial age. Artificial intelligence is becoming closer to being a a part of our daily lives through the use of technologies like virtual assistants such as Alexa, smart homes, and automated customer service. Now, we are running the race not just to win, but to survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and futurist ideas are developing into reality at accelerated rates.
How can you help your your company to evolve, adapt and succeed using Artificial Intelligence to stay at the forefront of the competition, and win the race for AI adoption in your organization? What are the potential issues, complications and benefits that artificial intelligence could bring to us and our organisations? In this session, Jen Stirrup will explain the quick wins to win the Red Queen's Race in Artificial Intelligence.
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Artificial Intelligence is popularised in fiction films such as “The Terminator” and “AI: Artificial Intelligence”. Now, artificial intelligence is becoming closer to being a part of our daily lives through the use of technologies like virtual assistants such as Cortana, smart homes, and automated customer service.
Now, we are running the Red Queen’s race not just to win, but to survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and futurist ideas are developing into reality at accelerated rates.
How can you help your your company to evolve, adapt and succeed using Artificial Intelligence to stay at the forefront of the competition, and win the Red Queen’s Race? What are the potential issues, complications and benefits that artificial intelligence could bring to us and our organisations?
In this keynote, Jen Stirrup explains the quick wins to win the Red Queen’s Race, using demos from Microsoft technologies such as AutoML to help you and your organisation win the Red Queen’s race.
Data Visualization dataviz superpower! Guidelines on using best practice data visualization principles for Power BI, Excel, SSRS, Tableau and other great tools!
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Artificial Intelligence and Deep Learning in Azure, using Open Source technologies CNTK and Tensorflow. The tutorial can be found on GitHub here: https://github.com/Microsoft/CNTK/tree/master/Tutorials
and the CNTK video can be found here: https://youtu.be/qgwaP43ZIwA
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Blockchain is a transformational technology with the potential to extend digital transformation beyond an organization and into the processes it shares with suppliers, customers, and partners.
What is blockchain? What can it do for my organization? How can your organisation manage a blockchain implementation? How does it work in Azure?
Join this session to learn about blockchain and see it in action. We will also discuss the use cases for blockchain, and whether it is here to stay.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
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BUILDING A STRONG FOUNDATION FOR SUCCESS WITH BI AND DIGITAL TRANSFORMATION
1. JENNIFER STIRRUP
Founder, Data Relish UK
JENSTIRRUP.COM
JENNIFER STIRRUP
BUILDING A STRONG
FOUNDATION FOR
SUCCESS WITH BI AND
DIGITAL
TRANSFORMATION
Make Your Data Work
MAKE YOUR DATA WORK
All Rights Reserved, Data Relish Ltd, 2022
2. I'm Jennifer Stirrup, Founder of Data
Relish Ltd
My pronouns are She/Her.
Jennifer is a #1 best selling Amazon
author and recognized leading authority
in AI and Business Intelligence
Leadership, a Fortune 100 global
speaker, and has been named as one of
the Top 50 Global Data Visionaries, one
of the Top Data Scientists to follow on
Twitter, and one of the most influential
Top 50 Women in Technology
ABOUT ME
3. Agenda Takeaways from this session
The importance of a solid data foundation
What’s the objective of digital transformation?
A roadmap to success
9. Who is your MVC?
…. Most Valuable Customer?
Your data can help you to become your
customers best solution and help you to
understand and connect with more of them.
10. Data FOMO?
How do you know where to focus your
efforts well?
– Organisations struggle with the
promise of data as a revenue
generator
Pressure of being ‘the example’ in the
business:
– Who is really in charge, if they can’t
control their data?
– How can you focus your efforts in data
in a nimble fashion, while living in the
reality of keeping the lights on?
11. The Grand Old
Duke of York?
This Photo by Unknown Author is licensed under CC
12. What was your business doing when
it was at its best?
Your organization
at your best
13. Adapt
• Expect to adapt as new business
opportunities and advancements
appear
• Understanding the moving parts
of the onboarding process
• Sharing responsibility for security
14. Well begun is half
done
• Waiting until the next CTO arrives?
• Analysis Paralysis
15.
16. Data as a
change agent
• Great things happen outside of the
comfort zone
• AI as a solution to help manage the
information overload
• Get comfortable with new ways of
thinking about uncertainty
17.
18. A big ball of mud…
…..turns into an big ball
of yarn
20. What about your organization?
OF CEOS HAVE NO DIGITAL
TRANSFORMATION METRIC
Source: Gartner, 2017
21. What’s the objective of digital
transformation?
Optimize
processes and
operations
Increase growth Gain a
competitive
advantage
22. What’s the objective of digital
transformation?
Stabilization Improvement Real Business
value
23. Real business value is only realized
when operational strategies, systems,
assets, and processes experience
measurable, positive Transformative
Change
29. Data leading to
wisdom
Insights, actions and ethics
Data on its own is not that
interesting. It needs to be
turned into information,
knowledge, and then wisdom.
39. Building Blocks of your Data Foundation
digital maturity is the end goal of
transformation—the ability to
continuously adapt and respond
to changing markets and
customer requirements
Whichever metrics you choose
to measure, it’s imperative to
always quantify the results.
40. Look Horizontally across your business
for common goals for commonalities in
problems and solutions.
41. How do you get ready?
• Customers are changing. It's not just value for money any more;
it is also about value for experience
• Think outside the silos. Find a project that has horizontal
impact across the organization
• Listen to the customer voice
43. EVALUATE RISKS TO
THE ORGANIZATION.
Mitigate, Manage, Practice
PREPARE FOR
EMERGENCIES.
Governance, DataOps
44. End to end care of your data
DO YOU HAVE A CRISIS RESPONSE PLAN?
Baseline to show improvement
Data Integration
Horizontal across the business
Data quality
46. Be prepared for
hard decisions
If you can't change the people, do
you change the people?
47. Summary The importance of a solid data
foundation
Plan for different situations.
Communication with all stakeholders is
important.
Be proactive rather than reactive.
Look at the crisis as an opportunity to
learn, grow, and adapt in continuous
transformation.
48. Further Thoughts to consider
Connected Tech Autonomous
Tech
Third Party Data