Big Data and Analytics have become a major topic of discussion, catalyzing attention among the C-Level executives and driving investments and projects inside the enterprise. However, there is one component that can halt any initiative: YOUR COMPANY's ANALYTICS MATURITY.
How prepared is your company to implement and use the available data, the high end modeling techniques and the data as well as analytics expertise?
From what I have learned and experienced, companies are still not adequately prepared, hurting their ability to compete in the market.
This presentation will help executives and data professionals to understand the steps needed to create an analytics organization, and provide some real life examples on companies who succeeded and some who failed miserably.
A look at the evolution of analytics and its revolutionary potential to transform ordinary businesses, power new business models, enable innovation, and deliver greater value. http://www2.deloitte.com/us/en/pages/deloitte-analytics/articles/analytics-trends.html
Ironside's VP of Strategy & Innovation, Greg Bonnette, delivered a presentation on "How to Build a Winning Strategy for Data & Analytics" to provide a framework for data-driven decision making.
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.
Metadata is hotter than ever, according a number of recent DATAVERSITY surveys. More and more organizations are realizing that in order to drive business value from data, robust metadata is needed to gain the necessary context and lineage around key data assets. At the same time, industry regulations are driving the need for better transparency and understanding of information.
While metadata has been managed for decades, new strategies & approaches have been developed to support the ever-evolving data landscape, and provide more innovative ways to drive business value from metadata. This webinar will provide an overview of metadata strategies & technologies available to today’s organization, and provide insights into building successful business strategies for metadata adoption & use.
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.
Data at the Speed of Business with Data Mastering and GovernanceDATAVERSITY
Do you ever wonder how data-driven organizations fuel analytics, improve customer experience, and accelerate business productivity? They are successful by governing and mastering data effectively so they can get trusted data to those who need it faster. Efficient data discovery, mastering and democratization is critical for swiftly linking accurate data with business consumers. When business teams can quickly and easily locate, interpret, trust, and apply data assets to support sound business judgment, it takes less time to see value.
Join data mastering and data governance experts from Informatica—plus a real-world organization empowering trusted data for analytics—for a lively panel discussion. You’ll hear more about how a single cloud-native approach can help global businesses in any economy create more value—faster, more reliably, and with more confidence—by making data management and governance easier to implement.
A look at the evolution of analytics and its revolutionary potential to transform ordinary businesses, power new business models, enable innovation, and deliver greater value. http://www2.deloitte.com/us/en/pages/deloitte-analytics/articles/analytics-trends.html
Ironside's VP of Strategy & Innovation, Greg Bonnette, delivered a presentation on "How to Build a Winning Strategy for Data & Analytics" to provide a framework for data-driven decision making.
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.
Metadata is hotter than ever, according a number of recent DATAVERSITY surveys. More and more organizations are realizing that in order to drive business value from data, robust metadata is needed to gain the necessary context and lineage around key data assets. At the same time, industry regulations are driving the need for better transparency and understanding of information.
While metadata has been managed for decades, new strategies & approaches have been developed to support the ever-evolving data landscape, and provide more innovative ways to drive business value from metadata. This webinar will provide an overview of metadata strategies & technologies available to today’s organization, and provide insights into building successful business strategies for metadata adoption & use.
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.
Data at the Speed of Business with Data Mastering and GovernanceDATAVERSITY
Do you ever wonder how data-driven organizations fuel analytics, improve customer experience, and accelerate business productivity? They are successful by governing and mastering data effectively so they can get trusted data to those who need it faster. Efficient data discovery, mastering and democratization is critical for swiftly linking accurate data with business consumers. When business teams can quickly and easily locate, interpret, trust, and apply data assets to support sound business judgment, it takes less time to see value.
Join data mastering and data governance experts from Informatica—plus a real-world organization empowering trusted data for analytics—for a lively panel discussion. You’ll hear more about how a single cloud-native approach can help global businesses in any economy create more value—faster, more reliably, and with more confidence—by making data management and governance easier to implement.
Data Architecture Strategies: Data Architecture for Digital TransformationDATAVERSITY
MDM, data quality, data architecture, and more. At the same time, combining these foundational data management approaches with other innovative techniques can help drive organizational change as well as technological transformation. This webinar will provide practical steps for creating a data foundation for effective digital transformation.
Startup Strategy Framework is the crux of any prosperous start-up and if you are in search of the right presentation on startup framework then you are at correct place. We present you our content-ready 79 slides Startup Strategy Framework Powerpoint Presentation Slides that will help you in representing your new business strategy clearly and effectively. Using this startup frameworks PPT slides, company chairperson can present their firm framework strategies to the potential stakeholders. This start-up strategy model PPT templates comprise of executive summary for problem-solution-market-mission, market insights, what we offer, key financials, our strategic positioning, startup summary and expenses, management team, assets and liabilities statement, products and services, market analysis, industry snapshot, pricing strategy, competitor analysis, organizational structure, and much more. This startup strategy framework PowerPoint presentation will be helpful for various topics like firm model canvas for a new venture, organizational structure pattern, scalable business layout, business structure strategies, entrepreneurial venture, seed money, venture capital etc. This startup business framework PowerPoint example presentation file is entirely editable and designed by our expert professional designers. Don’t think and wait. Instantaneously download this Startup Strategy Framework Powerpoint Presentation Slides. Address factors causing impatience with our Startup Strategy Framework Powerpoint Presentation Slides. Be able to handle irate folk. https://bit.ly/3ks6loC
Rethink and Realign for Digital Transformation SuccessPerficient, Inc.
The drive towards digital transformation begins with the customer and extends far into the company, affecting every area of an organization from vision and strategy to architecture, technology, and operational changes. Digital transformation is a complex maze to navigate and requires rethinking and realigning your strategy and organization for success.
Perficient’s digital transformation strategists Michael Porter and David Stallsmith led a roundtable discussion with guest speaker Nigel Fenwick, Vice President and Principal Analyst covering digital business strategy with Forrester Research. The discussion focused on how companies must structure their organizations across people, process, and technology to achieve a successful digital transformation.
Our speakers touched on a broad range of topics from current trends, roadmaps, and technology you can use to create a better vision, to developing the proper tactics, strategy, and the benchmarks that will enable you to demonstrate value to your customers and your company.
Topics included:
• Crafting a vision that works for your company
• Understanding where you are on your journey
• Aligning executive vision with business and IT roles
• Making the business case for digital transformation
• Combining tactical projects with the digital transformation strategic vision
• Uncovering and managing technology gaps
A Workflow is an automated series of actions that produces a specified outcome. At certain points, it requires actions from users in the form of tasks.
Workflows help people collaborate on assets, automate processes, ...
A workflow is useful in case of:
- Asset approval
- Asset intake
- Issue management
- Escalation by default
- User on-boarding
The design of a workflow starts with defining a process definition. Collibra Data Governance Center uses the Activiti Workflow engine to manage its process definitions.
In this first lesson, I’ll show you how you have to set up the Activiti Workbench.
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.
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how data architecture is a key component of an overall enterprise architecture for enhanced business value and success.
Data stewards are the implementation arm of Data Governance. They are also the first line of defense against bad data practices. Whether it’s data profiling or in-depth root cause analysis, data stewards ensure the organization’s shared data is reliably interconnected. Whether starting or restarting your Data Stewardship program, success comes from:
- Understanding the cadence/role of foundational data practices supporting organizational operations
- Proving value with tangible ROI
- Improving effectiveness/efficiencies using organization-wide insight
- Comprehending how stewards need to be multifunctional and dexterous, especially at first
- Integrating the role of data debt fighting
Achieving a Single View of Business – Critical Data with Master Data ManagementDATAVERSITY
Organizations today are critically reliant on data. However, as enterprise applications accumulate—often through digital transformation initiatives, new product launches, or mergers and acquisitions—business-critical data becomes increasingly siloed. As a result, organizations struggle to gain a complete view of customers, products, business partners, or other data domains scattered across legacy systems, cloud, databases, and spreadsheets—typically featuring unique ways of defining, modeling, and recording master data. Working with a network of vendors and suppliers, each with their own array of applications and data systems, only complicates the picture further. All of which inhibits an organization’s ability to realize value from their data. Master Data Management (MDM) allows organizations to consolidate data from multiple sources to create a single source of truth that provides a holistic view of enterprise-wide information. Join this webinar to discover how multi-domain MDM can eliminate the guesswork and uncertainty that results from data gaps and inconsistencies, paving the way for new, powerful insights through cross-domain intelligence.
Topics covered will include:
- Following a proven method to define and execute a data harmonization strategy that’s directly aligned with business objectives and outcomes
- Establishing a ‘contextually relevant’ golden record of consistent, valid, and accurate data across domains, applications, and services
- Creating linked relationships between data domains and surfacing up analytics on different data types to provide context and enable more informed decision-making
- Ensuring that your data governance strategy both complements and supports your data harmonization and consolidation approach
- Managing all administrative, stewardship, and governance functions across domains from a single user interface
- Allowing various user personas to utilize data and collaborate effectively with structured operating models that are ‘fit for purpose’
- Ultimately achieving a single view of critical data and related data elements that is easy to navigate
18th Annual Global CEO Survey - Technology industry key findingsPwC
Tech CEOs are optimistic about the global economy and both near term and future revenue growth. They view strategic alliances, including partnering with competitors, as a primary means to grow their businesses. We invite you to explore the analysis and contact us to discuss how we can help your business capitalise on the new - but challenging - opportunities for growth. Learn more http://pwc.to/1DaolqY
Website: http://www.pwc.com/gx/en/ceo-survey/2015/industry/technology.jhtml
Metadata is hotter than ever, according to a number of recent DATAVERSITY surveys. More and more organizations are realizing that in order to drive business value from data, robust metadata is needed to gain the necessary context and lineage around key data assets. At the same time, industry regulations are driving the need for better transparency and understanding of information.
While metadata has been managed for decades, new strategies & approaches have been developed to support the ever-evolving data landscape, and provide more innovative ways to drive business value from metadata. This webinar will provide an overview of metadata strategies & technologies available to today’s organization, and provide insights into building successful business strategies for metadata adoption & use.
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...DATAVERSITY
The majority of successful organizations in today’s economy are data-driven, and innovative companies are looking at new ways to leverage data and information for strategic advantage. While the opportunities are vast, and the value has clearly been shown across a number of industries in using data to strategic advantage, the choices in technology can be overwhelming. From Big Data to Artificial Intelligence to Data Lakes and Warehouses, the industry is continually evolving to provide new and exciting technological solutions.
This webinar will help make sense of the various data architectures & technologies available, and how to leverage them for business value and success. A practical framework will be provided to generate “quick wins” for your organization, while at the same time building towards a longer-term sustainable architecture. Case studies will also be provided to show how successful organizations have successfully built a data strategies to support their business goals.
Introduction to DCAM, the Data Management Capability Assessment Model - Editi...Element22
DCAM stands for Data management Capability Assessment Model. DCAM is a model to assess data management capabilities within the financial industry. It was created by the EDM Council in collaboration with over 100 financial institutions. This presentation provides an overview of DCAM and how financial institutions leverage DCAM to improve or establish their data management programs and meet regulatory requirements such as BCBS 239. Also the benefits of DCAM are described as part of this presentation.
Success in the Cloud requires 3 things:
1) A Compelling Value Proposition
2) Creating Competitive Separation
3) Strategy vs Execution. Making it happen requires execution
Data Catalog as the Platform for Data IntelligenceAlation
Data catalogs are in wide use today across hundreds of enterprises as a means to help data scientists and business analysts find and collaboratively analyze data. Over the past several years, customers have increasingly used data catalogs in applications beyond their search & discovery roots, addressing new use cases such as data governance, cloud data migration, and digital transformation. In this session, the founder and CEO of Alation will discuss the evolution of the data catalog, the many ways in which data catalogs are being used today, the importance of machine learning in data catalogs, and discuss the future of the data catalog as a platform for a broad range of data intelligence solutions.
FORIS Business Intelligence for TelecomAftab Ahmed
FORIS is a tested and mature EDW/BI Solution with lower TCO and quick ROI for Communication Service Providers. Single stack provides Business Intelligence, Revenue Assurance & Fraud Management capabilities.
How to become an Analytics-driven organization - and why bother? - IBM Smarte...IBM Sverige
Presentation från IBM Smarter Business 2011. Spår: IBM Cognos Performance.
Information is the oil of the future. It will be the resource running our economy in ways not possible in the past. In this era of extreme information organizations need to understand how to find the information that really matters and how to draw intelligence from it. They need to become Analytics-driven.
Talare: Juha Teljo, Business Analytics Executive.
Mer information på www.smarterbusiness.se
Why there are so many problems with streamlining data strategy ? What are the major problems ? How do you solve them ?
Using an approach based on Agile and Lean Concepts to achieve the goal of actionable data & analytics
Data Architecture Strategies: Data Architecture for Digital TransformationDATAVERSITY
MDM, data quality, data architecture, and more. At the same time, combining these foundational data management approaches with other innovative techniques can help drive organizational change as well as technological transformation. This webinar will provide practical steps for creating a data foundation for effective digital transformation.
Startup Strategy Framework is the crux of any prosperous start-up and if you are in search of the right presentation on startup framework then you are at correct place. We present you our content-ready 79 slides Startup Strategy Framework Powerpoint Presentation Slides that will help you in representing your new business strategy clearly and effectively. Using this startup frameworks PPT slides, company chairperson can present their firm framework strategies to the potential stakeholders. This start-up strategy model PPT templates comprise of executive summary for problem-solution-market-mission, market insights, what we offer, key financials, our strategic positioning, startup summary and expenses, management team, assets and liabilities statement, products and services, market analysis, industry snapshot, pricing strategy, competitor analysis, organizational structure, and much more. This startup strategy framework PowerPoint presentation will be helpful for various topics like firm model canvas for a new venture, organizational structure pattern, scalable business layout, business structure strategies, entrepreneurial venture, seed money, venture capital etc. This startup business framework PowerPoint example presentation file is entirely editable and designed by our expert professional designers. Don’t think and wait. Instantaneously download this Startup Strategy Framework Powerpoint Presentation Slides. Address factors causing impatience with our Startup Strategy Framework Powerpoint Presentation Slides. Be able to handle irate folk. https://bit.ly/3ks6loC
Rethink and Realign for Digital Transformation SuccessPerficient, Inc.
The drive towards digital transformation begins with the customer and extends far into the company, affecting every area of an organization from vision and strategy to architecture, technology, and operational changes. Digital transformation is a complex maze to navigate and requires rethinking and realigning your strategy and organization for success.
Perficient’s digital transformation strategists Michael Porter and David Stallsmith led a roundtable discussion with guest speaker Nigel Fenwick, Vice President and Principal Analyst covering digital business strategy with Forrester Research. The discussion focused on how companies must structure their organizations across people, process, and technology to achieve a successful digital transformation.
Our speakers touched on a broad range of topics from current trends, roadmaps, and technology you can use to create a better vision, to developing the proper tactics, strategy, and the benchmarks that will enable you to demonstrate value to your customers and your company.
Topics included:
• Crafting a vision that works for your company
• Understanding where you are on your journey
• Aligning executive vision with business and IT roles
• Making the business case for digital transformation
• Combining tactical projects with the digital transformation strategic vision
• Uncovering and managing technology gaps
A Workflow is an automated series of actions that produces a specified outcome. At certain points, it requires actions from users in the form of tasks.
Workflows help people collaborate on assets, automate processes, ...
A workflow is useful in case of:
- Asset approval
- Asset intake
- Issue management
- Escalation by default
- User on-boarding
The design of a workflow starts with defining a process definition. Collibra Data Governance Center uses the Activiti Workflow engine to manage its process definitions.
In this first lesson, I’ll show you how you have to set up the Activiti Workbench.
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.
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how data architecture is a key component of an overall enterprise architecture for enhanced business value and success.
Data stewards are the implementation arm of Data Governance. They are also the first line of defense against bad data practices. Whether it’s data profiling or in-depth root cause analysis, data stewards ensure the organization’s shared data is reliably interconnected. Whether starting or restarting your Data Stewardship program, success comes from:
- Understanding the cadence/role of foundational data practices supporting organizational operations
- Proving value with tangible ROI
- Improving effectiveness/efficiencies using organization-wide insight
- Comprehending how stewards need to be multifunctional and dexterous, especially at first
- Integrating the role of data debt fighting
Achieving a Single View of Business – Critical Data with Master Data ManagementDATAVERSITY
Organizations today are critically reliant on data. However, as enterprise applications accumulate—often through digital transformation initiatives, new product launches, or mergers and acquisitions—business-critical data becomes increasingly siloed. As a result, organizations struggle to gain a complete view of customers, products, business partners, or other data domains scattered across legacy systems, cloud, databases, and spreadsheets—typically featuring unique ways of defining, modeling, and recording master data. Working with a network of vendors and suppliers, each with their own array of applications and data systems, only complicates the picture further. All of which inhibits an organization’s ability to realize value from their data. Master Data Management (MDM) allows organizations to consolidate data from multiple sources to create a single source of truth that provides a holistic view of enterprise-wide information. Join this webinar to discover how multi-domain MDM can eliminate the guesswork and uncertainty that results from data gaps and inconsistencies, paving the way for new, powerful insights through cross-domain intelligence.
Topics covered will include:
- Following a proven method to define and execute a data harmonization strategy that’s directly aligned with business objectives and outcomes
- Establishing a ‘contextually relevant’ golden record of consistent, valid, and accurate data across domains, applications, and services
- Creating linked relationships between data domains and surfacing up analytics on different data types to provide context and enable more informed decision-making
- Ensuring that your data governance strategy both complements and supports your data harmonization and consolidation approach
- Managing all administrative, stewardship, and governance functions across domains from a single user interface
- Allowing various user personas to utilize data and collaborate effectively with structured operating models that are ‘fit for purpose’
- Ultimately achieving a single view of critical data and related data elements that is easy to navigate
18th Annual Global CEO Survey - Technology industry key findingsPwC
Tech CEOs are optimistic about the global economy and both near term and future revenue growth. They view strategic alliances, including partnering with competitors, as a primary means to grow their businesses. We invite you to explore the analysis and contact us to discuss how we can help your business capitalise on the new - but challenging - opportunities for growth. Learn more http://pwc.to/1DaolqY
Website: http://www.pwc.com/gx/en/ceo-survey/2015/industry/technology.jhtml
Metadata is hotter than ever, according to a number of recent DATAVERSITY surveys. More and more organizations are realizing that in order to drive business value from data, robust metadata is needed to gain the necessary context and lineage around key data assets. At the same time, industry regulations are driving the need for better transparency and understanding of information.
While metadata has been managed for decades, new strategies & approaches have been developed to support the ever-evolving data landscape, and provide more innovative ways to drive business value from metadata. This webinar will provide an overview of metadata strategies & technologies available to today’s organization, and provide insights into building successful business strategies for metadata adoption & use.
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...DATAVERSITY
The majority of successful organizations in today’s economy are data-driven, and innovative companies are looking at new ways to leverage data and information for strategic advantage. While the opportunities are vast, and the value has clearly been shown across a number of industries in using data to strategic advantage, the choices in technology can be overwhelming. From Big Data to Artificial Intelligence to Data Lakes and Warehouses, the industry is continually evolving to provide new and exciting technological solutions.
This webinar will help make sense of the various data architectures & technologies available, and how to leverage them for business value and success. A practical framework will be provided to generate “quick wins” for your organization, while at the same time building towards a longer-term sustainable architecture. Case studies will also be provided to show how successful organizations have successfully built a data strategies to support their business goals.
Introduction to DCAM, the Data Management Capability Assessment Model - Editi...Element22
DCAM stands for Data management Capability Assessment Model. DCAM is a model to assess data management capabilities within the financial industry. It was created by the EDM Council in collaboration with over 100 financial institutions. This presentation provides an overview of DCAM and how financial institutions leverage DCAM to improve or establish their data management programs and meet regulatory requirements such as BCBS 239. Also the benefits of DCAM are described as part of this presentation.
Success in the Cloud requires 3 things:
1) A Compelling Value Proposition
2) Creating Competitive Separation
3) Strategy vs Execution. Making it happen requires execution
Data Catalog as the Platform for Data IntelligenceAlation
Data catalogs are in wide use today across hundreds of enterprises as a means to help data scientists and business analysts find and collaboratively analyze data. Over the past several years, customers have increasingly used data catalogs in applications beyond their search & discovery roots, addressing new use cases such as data governance, cloud data migration, and digital transformation. In this session, the founder and CEO of Alation will discuss the evolution of the data catalog, the many ways in which data catalogs are being used today, the importance of machine learning in data catalogs, and discuss the future of the data catalog as a platform for a broad range of data intelligence solutions.
FORIS Business Intelligence for TelecomAftab Ahmed
FORIS is a tested and mature EDW/BI Solution with lower TCO and quick ROI for Communication Service Providers. Single stack provides Business Intelligence, Revenue Assurance & Fraud Management capabilities.
How to become an Analytics-driven organization - and why bother? - IBM Smarte...IBM Sverige
Presentation från IBM Smarter Business 2011. Spår: IBM Cognos Performance.
Information is the oil of the future. It will be the resource running our economy in ways not possible in the past. In this era of extreme information organizations need to understand how to find the information that really matters and how to draw intelligence from it. They need to become Analytics-driven.
Talare: Juha Teljo, Business Analytics Executive.
Mer information på www.smarterbusiness.se
Why there are so many problems with streamlining data strategy ? What are the major problems ? How do you solve them ?
Using an approach based on Agile and Lean Concepts to achieve the goal of actionable data & analytics
[Webinar] How To Be A Data-Driven Marketing Powerhouse With Predictive Analyt...Mintigo1
To view the full webinar, please visit:
http://www.mintigo.com/how-to-be-a-data-driven-marketing-powerhouse-with-predictive-analytics-big-data/
Description:
How is it that b-to-b marketers have more data sources than ever before, but many are still in the dark about how to reach more of the right prospects? Sometimes the sheer volume of data can seem overwhelming, but it doesn’t have to be. In fact, with the right processes, skills and tools, many companies are transforming their approach to demand creation and letting data do the work for them.
Marketers need to make decisions in a data-rich environment, where vast amounts of customer data are flowing not only from the company’s internal systems such as CRM, marketing automation and web analytics, but also from external sources such as social, mobile, and other sources that can be found all over the web. But how do you separate the good data that signify buying signals from the noise found in the rest of the data? And what new skills and processes bring them to life?
In this dynamic session, we’ll hear from thought leaders from LinkedIn, SiriusDecisions and Mintigo on the best strategies for taking a data-driven approach to marketing. They will address key considerations and best practices to answer essential questions around:
-How the explosion of big data and emerging predictive technologies is transforming the marketing discipline
-Examples of marketers at leading companies are effectively utilizing big data & predictive analytics
-Recommendations for preparing your marketing team to become a data-driven organization
The Speakers:
- Russ Glass, Head of Products at LinkedIn
- Megan Heuer, VP & Group Director, Data-Driven Marketing at SiriusDecisions
- John Bara, President & CMO at Mintigo
Many business trends—such as globalization, vertical integration, and margin pressure—are forcing manufacturers to find new and innovative ways to improve decision-making and boost performance. Analytics can help.
For more information, visit http://www.deloitte.com/view/en_US/us/Services/additional-services/deloitte-analytics-service/analytics-manufacturers/index.htm
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.
Tableau Drive, A new methodology for scaling your analytic cultureTableau Software
Tableau Drive is a methodology for scaling out self-service analytics. Drive is based on best practices from successful enterprise deployments. The methodology relies on iterative, agile methods that are faster and more effective than traditional long-cycle deployment. A cornerstone of the approach is a new model of a partnership between business and IT.
The Drive Methodology is available for free. Some organizations will choose to execute Drive themselves; others will look to Tableau Services or Tableau Partners for expert help.
3 Steps to Becoming a Successful Chief Data OfficerMario Faria
Presentation delivered at the Enteprise Data Leadership Summit, in Chicago March-2014
Mario Faria, Head of Chief Data Officer, Inc., a consulting and advisory services company, based in Seattle, WA
How to Create and Manage a Successful Analytics OrganizationDATAVERSITY
For the last few years, analytics, data science and data management have achieved tremendous exposure on all the media channels. Big Data has become a major topic of discussion, catalyzing attention among the C-Level executives and driving investments and projects inside the enterprise. However, it is really interesting that just a selected group of business has created successful data teams and has mastered the skills to manage it. What we have seen is that most companies still do not know how to create, implement and manage a data and analytics organization. Above all, if data has become an strategic asset and is being considered the new oil for the 21st century economy, what your strategy to handle it ? This webinar will help to bring some concepts and ideas to enlighten your path to create and manage an analytics organization, providing some real life examples on companies which did it.
Using Lean Principles to Manage the Data Value ChainMario Faria
Creating and managing a data office is not an easy task. The reasons for so many problems in streamlining a data strategy come from lack of data ownership, lack of a data roadmap and the data processes not clearly defined.
Using the Lean Principles that come from the Toyota Production System is one method that has been proved to be quite successful.
This session delivered for the Data Quality Pro Summit explores how it can be done.
The Rise of People Management AnalyticsMario Faria
Data is now as integral to our 21st century economy as oil has been for many decades. With the power of data and analytics, several organizations are rethinking their business strategy completely.
However, when we look at data and analytics from an HR or people management perspective, there are some untapped opportunities to make data-driven decisions. What are some of these opportunities? Does a culture change need to happen to positively impact your company’s bottom-line?
This is the material I used at my session at the Great Place to Work Institute in Canada, on April 2015.
I discussed these questions and share case studies on how some organizations are now using their second most important asset (data) to manage their most important asset (people).
The Chief Data Officer Golden Rules to Data Quality and Data Governance SuccessMario Faria
At the dawn of 2015, there are around 400 Chief Data Officers working in the world. And that number will double by the end of the year. Everywhere in the world corporations have realized that data can become a lever for competitive advantage.
However, how can CDOs succeed in creating and managing Data Quality and Data Governance initiatives? For my previous personal experiences, I can say it is not an easy task.
This material was delivered in an IAIDQ webinar presented in January 8th 2015. It shows the golden rules a Chief Data or Analytics Officer can apply in order to really make data a pristine asset for the business.
ECMSHOW 2013 - Construindo uma Organização Gerida por DadosMario Faria
Apresentação realizada em São Paulo no dia 08-Outubro-2013 como keynote speaker no evento ECMSHOW 2013, promovido pela Guia Business Media e Revista Information Management
Chief Data & Analytics Officer - who are these new kids on the C-Suite block ?Mario Faria
In the last 12 months, 70% of all the Chief Data Officers in USA were hired. CDOs are the new breed of professionals coming to the C-Suite. They are responsible for handling data as a key strategic asset. In this material, you will be able to understand how they work and what is required to be one successful Chief Data & Analytics Officer
The Chief Data Officer - quotes from data & analytics thought leadersMario Faria
Data & Analytics have become so important on how business are differentiating themselves in the marketplace. With the help from the most well recognized data leaders of our time, I have put together their thoughts in this material. By sharing our thinking, we want companies to understand what it takes to become a data-driven organization.
Does your organization need a Chief Data Officer (CDO) ?Mario Faria
A question that will have one answer : it depends ! It depends on your company maturity level and how upper management will support it. This is material I presented at meeting organized by PointB, an strategic consulting company for the data leaders of the Seattle area in Aug-2013
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/
Data Analytics Ethics Issues and Questions
Presented at the University of Chicago Booth Big Data & Analytics Roundtable, April 2018
Presenter:
Arnie Aronoff, Ph.D.
Instructor, MScA in Data Analytics
Instructor, School of Social Services Administration
The University of Chicago
Group Concept OD
Organizational Development and Training
(312) 259-4544
aaronoff33@gmail.com
Presented by
The Missing Link in Enterprise Data Governance - Automated Metadata ManagementDATAVERSITY
So many companies and organizations are in the same boat. They’re drowning in their data — so much data, from so many different sources. They understand that data governance is hugely important for them to be able to know their data inside and out and comply with regulations. What many companies have not yet come to terms with when implementing their data governance strategy and supporting tools, is the criticality of metadata in the process. As the ‘data about data,’ metadata provides the value and purpose of the data content, thereby becoming an extremely effective tool for quickly locating information – a must for BI groups dealing with analytics and business user reporting.
Octopai's CEO, Amnon Drori will discuss this critical missing link in enterprise data governance and the impact of automating metadata management for data discovery and data lineage for BI. He'll demonstrate how BI groups use Octopai to not only locate their data instantly, but to quickly and accurately visualize and understand the entire data journey to enable the business to move forward.
How the Analytics Translator can make your organisation more AI drivenSteven Nooijen
Today, about 80% of companies considers data as an essential part of their strategy. However, although most of these companies are taking models into production, they still have trouble turning their data and insights into valuable AI solutions. With businesses heavily invested in data and AI, what is it that actually makes the difference for being successful with AI?
In this talk, I will argue that the extent to which AI is embedded in the organisation is crucial to success. Furthermore, I will show why the Analytics Translator is the designated person to drive AI adoption by the business and what his or her tasks should look like. The insights shared come from our own experience as consultants as well as interviews with top Dutch enterprises about their AI maturity.
Similar to Acting on Analytics - How to Build a Data-Driven Enterprise - Brighttalk webinar Sept 2013 (20)
Increasing Your Business Data & Analytics MaturityMario Faria
Slides of the webinar presented July 10th. The audio can be accessed at : http://www.dataversity.net/webinar-increasing-business-data-analytics-maturity-2/
2nd Big Data Business Forum Nov 13th to 15th, 2013 in San FranciscoMario Faria
The 2nd Big Data Business Forum will happen from November 13th to 15th, 2013 in San Francisco. This is one of the top data and analytics conferences of the year.
A Morte do CIO - artigo Information Management - Maio 2013Mario Faria
O modelo atual de TI das empresas não funciona na realidade atual de mercado. O artigo mostra um caso real onde a área de negócio conseguiu o que precisava pagando menos e com prazo mais realista que utilizando a área de TI da empresa
Helping Compliance Cross The Data ChasmMario Faria
Helping Compliance Cross the Data Chasm - Webinar for the Compliance Week Magazine, March 27st, 2013
Since 2012, Big Data has become a major topic of discussion, catalyzing attention among the C-Level executives and driving investments and projects inside the enterprise. But what exactly is Big Data from a compliance perspective? And how prepared is compliance to handle this current trend? From what I have learned and experienced, compliance is not adequately prepared and, trust me, the data and analytics people are not making it very easy for you. This presentation will help compliance personnel understand more about Big Data, while providing some real life examples that will help you determine if Big Data is a threat for your job security or a tool to help you thrive.
Speaker:
Mario Faria, Data Strategy Advisor - Boa Vista
Moderator:
Joe McCafferty, Executive Editor, Compliance Week
Redes Sociales y Tecnología: como el CIO debe estar preparadoMario Faria
Redes Sociales y Tecnología: como el CIO debe estar preparado - presentación hecha en Buenos Aires, SimpoCIO, Nov-2011. ¿ Un protagonista o un empiecillo a lo cambio?
Escalando o Ecommerce em Momentos de Alta DemandaMario Faria
Palestra proferida durante o Ecommerce Brasil, no evento sobre Planejamento para o Natal 2011 em São Paulo, onde abordei como o varejo pode evitar perdas de vendas, desde que utilize processos e requisitos clara para comprar sua infra-estrutura de tecnologia
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Acting on Analytics - How to Build a Data-Driven Enterprise - Brighttalk webinar Sept 2013
1. Mario Faria
1
Acting on Analytics
Building a Data-Driven Enterprise
Sept 11th, 2013
Mario Faria
http://www.linkedin.com/in/mariofaria/
www.slideshare.com/fariamario
Twitter : @mariofaria
2. Mario Faria
2
Who am I ?
• MIT recognition as one of the 1st Chief Data Officers and Data Scientist
Leaders in the world (just Google “Mario Faria Chief Data Officer”)
• 20+ years working with Information Technology, Management
Consulting, Financial Services, Retail, CPG and Private Equity
• Proven expertise in Data Management, Data Science, Analytics, CRM
and Supply Chain Management
• Speaker at several conferences on the subject in USA, Europe and Latin
America
• Contributor to magazines and publications
• Big Data Advisor at the Bill and Melinda Gates Foundation
• Member of the MIT Data Science Initiative
• Helping companies cross the Big Data Chasm
3. Mario Faria
3
Objectives
• Clarify Analytics
• Present some analytics terms that will help professionals
do their jobs better
• Provide insights on how you should successfully create a
data & analytics organization
• Present some concepts to help you prepare to implement a
data-driven organization
• Bring some attention on how to properly use data
• Show a few options available for your professional future
in today’s world
5. Mario Faria
5
Where we stand today
• Fragmented technology ecosystem
• Over usage of the Big Data term
• The “how to compete on analytics” is still
hard to achieve
• In most companies, data is still managed
with an IT mind set
7. Mario Faria
7
Analytics is transforming
data assets into
competitive insights, that
will drive business
decisions and actions,
using people, processes
and technologies
12. Mario Faria
12
“Measurement drives behavior, and if
we don’t understand how, it drives
behaviors in mysterious ways”
by Frank Buytendijk, Beingfrank Research, Sept 2012
1. Understand the decision making process
2. Understand what the many frameworks in
measurement do for us
3. Understand what can go wrong
4. Understand the culture
14.
Data
access
is
quite
easy
to
achieve
Transforming
data
into
something
useful
in
a
1mely
manner
is
tough
15. Mario Faria
15
The 5 Steps from Data to Decisions
Souce : Aryng Analytics Consulting
16. Data
Science
The
process
of
taking
raw
data,
producing
informa1on
from
data,
and
using
this
informa1on
to
guide
ac1ons
that
will
bring
financial
benefits
to
business
17. Data
Mining
is
the
explora1on
and
analysis
of
large
quan11es
of
data
to
discover
meaningful
paCerns
and
rules
20. Mario Faria
20
The Data Mining Process
1. Project definition
2. Data exploration
3. Data preparation
4. Model creation
5. Model deployment
6. Model management
21. Machine
learning,
part
of
ar1ficial
intelligence,
is
about
the
construc1on
and
study
of
systems
that
can
learn
from
data
22. Mario Faria
22
Machine Learning is the "Field of
study that gives computers the
ability to learn without being
explicitly programmed"
Arthur Samuel,
1959
23. Machine
Learning
is
about
predic1on
and
learning
from
data
Data
Mining
is
about
finding
unknown
proper1es
of
the
data
24. Mario Faria
24
Deep X Operational
Analytics
• Deep Analytics
– Few users
– Complex queries
– Worried about response time
– Dedicated data marts
• Operational Analytics
– Lots users
– Simple queries
– Worried about throughput
– Real time data flow
29. Mario Faria
29
Chief Data Officer /
Chief Analytics Officer
Data Architect
Data Quality
Data Scientist
Data GovernanceData Operations
30. Mario Faria
30
The roles of an Analytics organization
A data scientist is the one
who looks for insights
The insight is operationalized
in BI/DW products, by data architects
The insight is shared
with the enterprise
The Chief Data/Analytics Officer is the
executive responsible and accountable for
the data life cycle inside the organization,
managing the people involved in the data
activities, such as acquisitions, analytics,
processes, governance, quality, technology
and budget
32. Mario Faria
32
A Chief Data/
Analytics Officer is
the executive
responsible to
manage these areas
33. Mario Faria
33
The Best of the Breed
Data & Analytics Leader
• Knows how to talk business with
business people; technology with
techies
• Runs his/her team as a business
unit
• Has multi-discipline skilled people
(technologists, mathematicians,
statisticians, business people as
well)
• Manages quite well the back office
and front office functions
34. Mario Faria
34
The checklist to hire data & analytics professionals
Chami Akmeemana
Managing Director
Huntel Global
• Where are they ? Think global
• What are they interested in ? It is not just
money, it is the possibility to “create” something
new or transform
• What are they going to do ? Gain clarity on
your business analytics strategy
• What are they going to work with ? Set budget
for technology tools, data acquisition and other
resources needed
Link to download the full paper : http://goo.gl/Fc8Xl
35. Mario Faria
35
From good to great, an analytics team
must have:
• Passion for analytics and data
• Never stop learning
• Always be there for tough analytics
questions
• Ask questions until everything makes sense
and you are satisfied with the answers and
analyses
• Learn how to develop prototypes quickly
• Be an advocate for building a strong
foundation in corporate analytics
• Be a "bridge builder" between IT and
business users
40. Mario Faria
40
Is it possible to promote Business Maturity using
Analytics, or is it the other way around?
• Your company must have some Business Maturity to take a step and
start using Analytics.
• When you if take the path of using the right people, good technology,
proven methodologies and changing the current processes, you will gain
more Business Maturity.
• After you have gained more Business Maturity, naturally you will start to
evolve to more complex Analytics usage
• It is a self-promoting system following exactly the Deming PDCA method
41. Mario Faria
41
The 3 ingredients to make
Advanced Analytics work
• Choosing the right data and managing multiple data
sources
• Having the capability to build advanced models that turn
the data into insights
• Management must undertake a transformational-change
program so that the insights translate into effective action
42. Mario Faria
42
Managing an Analytics project
• Focus on the execution
• Well-defined and realistic scope
• Put all activities on the schedule
• Budget control
43. Mario Faria
43
Technology alone will not change the
previous results
To succeed in Analytics, an organization will be required to
change some of its current internal processes
44. Good
KPIs
will
not
save
your
business,
but
they
will
be
able
to
tell
how
screwed-‐up
your
business
is
46. Mario Faria
46
Which companies will thrive in the near
future ?
• The ones which will understand how to adapt faster to
this new scenario
• The ones which will have successful Analytics
implementations
• The ones with great human capital, which understand
how to leverage their resources and with proven
methodologies to embrace this change
Is your company going to lead, influence or
follow when using data and analytics to
drive results ?
47. Mario Faria
47
Lessons to Analytical Success
• People
• Change Management (on going program)
• Culture
• Organization Model
• Processes
• Architecture
• and Analytics, of course
48. Mario Faria
48
“Successful people shoot for
the stars, put their hearts on
the line in every battle, and
ultimately discover that the
lessons learned from the
pursuit of excellence mean
much more than the immediate
trophies and glory”
Josh Waitzkin, The Art of
Learning
50. Mario Faria
50
Thank you
Mario Faria
Chief Data Officer and Analytics Strategy Advisor
http://www.linkedin.com/in/mariofaria/
Founder of the Digital Mad Men
www.slideshare.com/fariamario
Twitter : @mariofaria
fariamario@hotmail.com
+1 (425) 628-3517