We've moved from a world of data scarcity to nearly unlimited accessibility and availability of information. Systems and technology have rapidly advanced as well, but firms are still seeing mixed results. This presentation discusses why we need to focus on better questioning and actionability as the core of an information strategy.
A business-friendly approach to data governance is imperative to engage all users and accommodate diverse business use cases spanning analytics, operational improvements, and compliance requirements. To increase adoption and collaboration, business and technical data users across your organisation need to have a common, agreed-upon, and documented understanding of which data is most important, what it’s called, and where it’s used.
Watch this on-demand webinar, where we explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
We also look at how Oripharm, one of the dynamic healthcare players in the Nordics and international markets, choose a data governance solution:
• to improve personalisation of products and services
• to achieve accurate and timely credit-risk analysis
• to increase user productivity by improving time-to-insights
• to mitigate risk and facilitate regulatory compliance and reporting
Speakers:
Mikkel Holmgaard - Data Governance Lead, Orifarm
Emily Washington - Sr. Vice President, Product Management, Precisely
Leveraging Data in Financial Services to Meet Regulatory Requirements and Cre...Perficient, Inc.
Regulators have increased their scrutiny on the financial services industry in recent years and have levied fines against banks of all sizes – fines that have reached into the billions of dollars.
Because of this, the financial services industry is focusing considerable time and expense on capturing data to meet regulatory requirements in reporting, risk management, and compliance. Gathering, enhancing, and reporting the required data from multiple applications to meet regulatory demands is a significant challenge, and firms often address these data challenges as one-off projects with the objective of complying with a single regulation rather than improving risk management overall. Mergers and acquisitions further complicate these efforts by increasing the number of systems that information needs to be pulled from.
Meanwhile, revenue-generating exercises that could benefit from the availability of better client and market information often go unfunded due to an over-arching focus on regulatory compliance.
Rather than structure your data project as a tactical approach to meet regulatory requirements, learn how your data investment can drive true cost savings, fine avoidance, revenue creation, and competitive advantage.
This event promises:
• An experienced point of view on current regulatory, compliance and anti-money laundering issues that financial institutions are facing.
• Pros and cons of tactical versus strategic approaches to meeting regulatory requirements, specifically around data governance,
• Examples of how you can leverage data governance to drive compliance as well as competitive advantage.
Be Digital or Die - Predictive Analytics for Digital TransformationFintricity
A look at leveraging big data and predictive analytics for digital transformation. This deck was presented at the Predictive Analytics & Innovation Summit in London. 10th May 2016, by Alpesh Doshi, Founder of Fintricity.
360 metadata - crucial for digital marketing - framework for youHeimo Hänninen
Digital Marketing requires high quality metadata about: your consumers, your products, product data and marketing content, your partners, your sales activities and pricing, to mention a few. Linked Open Data (LOD) and semantic technologies are robust, yet flexible way of merging and managing metadata for marketing from different sources. With LOD you can also realize Enterprise Linked Data in wider scope.
Console Power Productive Agents and Happy CustomersPerficient, Inc.
Take a deep dive into the core principles of building a great customer service agent experience with the Salesforce Console. During the webinar, our experts outlined the net impact of productivity metrics and customer satisfaction when the Salesforce Console is properly aligned with your company’s objectives.
We will also cover several key features, benefits and best practices for improving results with the new Agent Console:
-Easily spot important fields on records
-Limit switching between pages
-Quickly jot notes, actions and log interactions for each interaction
-Chat with customers in real time by integrating with Live Agent (Service Cloud only)
The session was packed with practical tips and insights from our real-world implementation experience.
Align Business Data & Analytics for Digital TransformationPerficient, Inc.
Your success in the digital world relies primarily on how well you manage and analyze the data coming from disparate internal systems and external channels. You need to understand how to innovate and leverage digital data to drive sales and productivity.
Existing principles driving traditional data architecture are inadequate to support the volume, variety, and velocity of this new data ecosystem. In these scenarios, information governance (master data management, metadata, data quality and data governance) becomes highly critical in terms of providing the context for operational, competitive and advanced analytics.
Companies require a data architecture and strategy that can support efficient digital transformation by unlocking the value in all data sources to provide mission-critical insights and informed decision-making.
Our experts covered:
-Five information management pillars necessary for digital transformation
-Stages of digital information maturity, reflecting the typical path of an organization implementing this new data ecosystem
-Issues, challenges, and approaches to governing this new architecture
A business-friendly approach to data governance is imperative to engage all users and accommodate diverse business use cases spanning analytics, operational improvements, and compliance requirements. To increase adoption and collaboration, business and technical data users across your organisation need to have a common, agreed-upon, and documented understanding of which data is most important, what it’s called, and where it’s used.
Watch this on-demand webinar, where we explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
We also look at how Oripharm, one of the dynamic healthcare players in the Nordics and international markets, choose a data governance solution:
• to improve personalisation of products and services
• to achieve accurate and timely credit-risk analysis
• to increase user productivity by improving time-to-insights
• to mitigate risk and facilitate regulatory compliance and reporting
Speakers:
Mikkel Holmgaard - Data Governance Lead, Orifarm
Emily Washington - Sr. Vice President, Product Management, Precisely
Leveraging Data in Financial Services to Meet Regulatory Requirements and Cre...Perficient, Inc.
Regulators have increased their scrutiny on the financial services industry in recent years and have levied fines against banks of all sizes – fines that have reached into the billions of dollars.
Because of this, the financial services industry is focusing considerable time and expense on capturing data to meet regulatory requirements in reporting, risk management, and compliance. Gathering, enhancing, and reporting the required data from multiple applications to meet regulatory demands is a significant challenge, and firms often address these data challenges as one-off projects with the objective of complying with a single regulation rather than improving risk management overall. Mergers and acquisitions further complicate these efforts by increasing the number of systems that information needs to be pulled from.
Meanwhile, revenue-generating exercises that could benefit from the availability of better client and market information often go unfunded due to an over-arching focus on regulatory compliance.
Rather than structure your data project as a tactical approach to meet regulatory requirements, learn how your data investment can drive true cost savings, fine avoidance, revenue creation, and competitive advantage.
This event promises:
• An experienced point of view on current regulatory, compliance and anti-money laundering issues that financial institutions are facing.
• Pros and cons of tactical versus strategic approaches to meeting regulatory requirements, specifically around data governance,
• Examples of how you can leverage data governance to drive compliance as well as competitive advantage.
Be Digital or Die - Predictive Analytics for Digital TransformationFintricity
A look at leveraging big data and predictive analytics for digital transformation. This deck was presented at the Predictive Analytics & Innovation Summit in London. 10th May 2016, by Alpesh Doshi, Founder of Fintricity.
360 metadata - crucial for digital marketing - framework for youHeimo Hänninen
Digital Marketing requires high quality metadata about: your consumers, your products, product data and marketing content, your partners, your sales activities and pricing, to mention a few. Linked Open Data (LOD) and semantic technologies are robust, yet flexible way of merging and managing metadata for marketing from different sources. With LOD you can also realize Enterprise Linked Data in wider scope.
Console Power Productive Agents and Happy CustomersPerficient, Inc.
Take a deep dive into the core principles of building a great customer service agent experience with the Salesforce Console. During the webinar, our experts outlined the net impact of productivity metrics and customer satisfaction when the Salesforce Console is properly aligned with your company’s objectives.
We will also cover several key features, benefits and best practices for improving results with the new Agent Console:
-Easily spot important fields on records
-Limit switching between pages
-Quickly jot notes, actions and log interactions for each interaction
-Chat with customers in real time by integrating with Live Agent (Service Cloud only)
The session was packed with practical tips and insights from our real-world implementation experience.
Align Business Data & Analytics for Digital TransformationPerficient, Inc.
Your success in the digital world relies primarily on how well you manage and analyze the data coming from disparate internal systems and external channels. You need to understand how to innovate and leverage digital data to drive sales and productivity.
Existing principles driving traditional data architecture are inadequate to support the volume, variety, and velocity of this new data ecosystem. In these scenarios, information governance (master data management, metadata, data quality and data governance) becomes highly critical in terms of providing the context for operational, competitive and advanced analytics.
Companies require a data architecture and strategy that can support efficient digital transformation by unlocking the value in all data sources to provide mission-critical insights and informed decision-making.
Our experts covered:
-Five information management pillars necessary for digital transformation
-Stages of digital information maturity, reflecting the typical path of an organization implementing this new data ecosystem
-Issues, challenges, and approaches to governing this new architecture
Vuzion Inspired Event - Highlights from Microsoft Inspire 2017Vuzion
Microsoft Inspire, 9-13 July 2017 - What an inspirational week!
With over 680 sessions and 17,000 people attending Microsoft's biggest annual event in Washington DC, there was a huge amount covered, including Vision Keynotes, workshops, discussion groups, panels and a large expo.
To make sure you're up-to-date with all the news, Microsoft, Vuzion and our Partners shared the insights with you at our special Inspired event.
As UK headline sponsor, the Vuzion team at Inspire was delighted to be able to meet up with so many partners and industry colleagues.
But, whether you were at Inspire or unable to attend Microsoft's flagship partner event, if you'd like more information about the key announcements from Inspire here are the slides!
Code Red for CODE-P: What’s a Customer Omnichannel Digital Experience Platfor...Precisely
As customer communications management (CCM) continues to evolve to a more customer experience management (CXM) focus for companies at a rapid pace, we are seeing a new category emerge in the market. CODE-P’s, or Customer Omnichannel Digital Experience Platforms, enable organizations to offer a holistic approach to managing all customer communications – transactional, servicing and marketing – while simultaneously creating a more seamless and cohesive end-customer experience. The impact of this shift is significant – 63% of bank customers for example, say they would switch banks if communications don’t meet expectations. But if you’re trying to combine legacy systems it’s not an easy task, as fragmented systems were not designed to evolve together leaving you at risk for significant customer attrition.
With the recent announcement of the acquisition of CEDAR CX by Precisely, this new CODE-P category is taking shape, combining the expertise of hosted managed service platforms with legacy CCM service providers. And Aspire believes this cloud-based solution will help companies further fast-track changes and innovation in regulated communications. Join this Aspire-hosted webinar to hear from experts Kaspar Roos, founder & CEO of Aspire; Greg Van den Heuvel, EVP & GM of Precisely; and Richard Bishop, Sales EVP of Precisely, on the future of this space and the impact customer communications can make on the success of your CX.
Don't Leave Data Behind: Integration Strategies for On-premise and Cloud Solu...Perficient, Inc.
As the SaaS application market matures, IT organizations are adopting a cloud integration strategy around hybrid environments that focuses on combining cloud and on-premise solutions to house data, augment internal capacity and increase business agility.
Join Perficient and Informatica for a webinar focusing on key issues and opportunities surrounding hybrid IT models, including:
Managing a data environment that is both in the cloud and on-premise
Keeping information in sync and current to influence better business decisions
Examples of successful, company-adopted hybrid architecture models for maximum ROI and agility
Use case examples with Salesforce.com and RedShift (Amazon web services)
Demonstration of Informatica Cloud Integration
The Data Governance Annual Conference and International Data Quality Conference in San Diego was very good. I recommend this conference for business and IT persons responsible for data quality and data governenance. There will be a similar event in Orlando, December 2010. This is the presentation I delivered to a grateful audience.
Data Centric Development: Supercharge your web & mobile application developmentBright North
Many businesses are finding that their web and mobile applications aren’t providing the long-term solution they were hoping for. As consumers provide more and more useful data, these digital platforms don’t allow businesses to take advantage of the huge opportunities that data presents.
Our new whitepaper details the practical steps you can take to supercharge your web and mobile application development and stay ahead of the data revolution.
Lower Total Cost of Care and Gain Valuable Patient Insights through Predictiv...Perficient, Inc.
Learn how predictive analytics for healthcare can enable your organization to make proactive decisions that can have a profound impact for both patients and care providers. We discuss current and emerging healthcare trends and the positive impact that predictive analytics can have on your organization by:
Optimizing Resource Utilization: Better allocate nurses, clinicians, diagnostic machinery and other resources by predicting future admission volumes
Enhancing Patient Care: Proactively treat patients by more accurately predicting the chance of a chronic condition or the response to medications and therapies
Improving Clinical Outcomes: Analyze treatment success rates to improve treatment plans, minimizing complications and readmissions
Increasing Income and Revenue: Prevent fraudulent behavior and identify opportunities to collect missing income
Improving the customer experience using big data customer-centric measurement...Business Over Broadway
This presentation provides an overview of some of the content of my new book, TCE: Total Customer Experience. In the presentation, I discuss customer experience management, customer loyalty, the optimal customer survey, the value of analytics and using a Big Data customer-centric approach to improve the value of all your business data
Yammer External Networks: Engaging Customers and Partners Perficient, Inc.
Yammer has distinguished itself as an enterprise social network on the inside of organizations, but its potential for engaging external customers, partners and vendors remains largely unnoticed. Most organizations have yet to tap into Yammer's ability to extend its features outside of the company walls.
Find out how Yammer is redefining the traditional external network, and how its ease of adoption, powerfully interactive style of information sharing and governance tools combine with mobile accessibility and the power of the cloud to deliver social, secure and world-class external collaboration.
Salesforce Master Data Management WebinarRajeev Kumar
Webinar on Salesforce Master Data Management covering the definitions,strategy, tools, architecture for MDM:
- What is Master Data Management (MDM)?
- Why use MDM ?
- Steps for implementing MDM in your organization
- Architecture Models of MDM
- Salesforce Data duplicity/DeDupe issue and ways to mitigate it
- Best Deduplication/ DeDupe tools for Salesforce CRM (Ex: Advitya)
Datastax - The Architect's guide to customer experience (CX)DataStax
From scalability to data access to data governance, learn the specific performance and data requirements of a customer experience-ready data management platform.
Kickstart a Data Quality Strategy to Build Trust in DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this session to learn key metrics and steps you can take to kickstart a data quality strategy.
How to Drive Better Business Insights with Strong Data GovernanceMatt Dillon
Learn why leading CMOs and CEOs are making data governance and data integration a top priority for driving revenue growth and improving profitability.
Your data is one of the most important assets you have as a business but are you taking the necessary steps to manage your data with care?
Are you using your data to improve the customer experience and make better business decisions?
Webinar includes:
- Creating a centre of excellence
- Establishing data standardization
- Developing application management plans
- Release management
- Incorporating data & systems integration strategies
- Data cleansing essentials
DAMA Australia: How to Choose a Data Management ToolPrecisely
The explosion of data types, sources, and use cases makes it difficult to make the right decisions around the best data management tools for your organisation. Why do you need them? Who is going to use them? What is their value?
Watch this webinar on-demand to learn how to demystify the decision making process for the selection of Data Management Tools that support:
· Data governance
· Data quality
· Data modelling
· Master data management
· Database development
· And more
Creating a Successful API Program to Drive Digital TransformationPerficient, Inc.
API management is a driving discipline in the digital transformation movement that can unlock tremendous business value. Because APIs intersect at IT and the business, it’s important to understand how they can be used. APIs can connect inventory management with resource planning for better operational efficiency, integrate with partner organizations for increased sales, and push data to and from a mobile device for the connected enterprise and consumer. The core concepts of APIs are technical in nature, but their business applications are almost limitless.
Creating a successful API program goes way beyond choosing the right tool. The supporting components and disciplines (some tried and true and some emerging) around API management are a critical component of the comprehensive picture.
In this webinar, we discussed:
-The building blocks of a strong API program
-How to get executive buy-in
-Supporting components and disciplines of API management
-How APIs help to build a world-class digital business
Mobile Data Management Strategy Powerpoint Presentation SlidesSlideTeam
Ensure that employees have a seamless and secure experience across the devices by incorporating our readily available Mobile Data Management Strategy PowerPoint Presentation Slides. Our content-ready mobile device management PowerPoint complete deck contains templates that describe problem statement, project description, project goals and objectives, assumptions, project scope, etc. Key statistics of worldwide mobile app users can be easily depicted. Understand the overall company strategy, dependencies, and competitors by taking assistance from our mobile data strategy PowerPoint infographics. The slides also explain the executive summary by revenue and profits details of the target years. Highlight the mission, vision, and values of your organization by easily editing the slides. Establish a value proposition by describing how value will be delivered, acquired, and experienced by the customer. The mobile data management PPT slideshow will help you to consider what your competitors are offering through mobile channels. The competitive landscape section will help you analyze and identify your direct or indirect competitors. Discuss mobile channel interactions that allow the customers to quickly interact with your company in a convenient and seamless way. The organization can showcase their enterprise mobile app strategy. Also, discuss in detail, mobile strategy roadmap, resources need for execution, the budget required, enterprise mobility stack, etc. by downloading our mobile data management strategy PPT slide deck. https://bit.ly/2T3cEn1
With recent acquisitions of master data management, process automation, and data governance capabilities, Precisely accelerates its leadership in data integrity with the broadest solution available from any one company. Join us in this webinar to learn about:
- The importance of data integrity for building business opportunities based on trusted data.
- How Winshuttle’s master data management and process automation products help achieve trust in data.
- How data governance capabilities from Infogix bridge the gap between business and IT to map your data integrity journey.
Evidence suggests that the track record of MDM (Master Data Management) initiatives is not very good. Traditional MDM is often a costly, time-consuming, IT-driven activity that is disconnected from business goals and stakeholders. Even MDM projects that initially meet their goals often suffer during sustainment, or are limited to specific divisions and fail to provide value for the rest of the organization.
This webinar will:
- Review the technical and business challenges associated with the traditional MDM lifecycle
- Explain why the technologies and conventional wisdom associated with MDM do not seem to be working
- Discuss use cases of organizations who have achieved success by adopting a new, iterative approach called "streamlined MDM"
Vuzion Inspired Event - Highlights from Microsoft Inspire 2017Vuzion
Microsoft Inspire, 9-13 July 2017 - What an inspirational week!
With over 680 sessions and 17,000 people attending Microsoft's biggest annual event in Washington DC, there was a huge amount covered, including Vision Keynotes, workshops, discussion groups, panels and a large expo.
To make sure you're up-to-date with all the news, Microsoft, Vuzion and our Partners shared the insights with you at our special Inspired event.
As UK headline sponsor, the Vuzion team at Inspire was delighted to be able to meet up with so many partners and industry colleagues.
But, whether you were at Inspire or unable to attend Microsoft's flagship partner event, if you'd like more information about the key announcements from Inspire here are the slides!
Code Red for CODE-P: What’s a Customer Omnichannel Digital Experience Platfor...Precisely
As customer communications management (CCM) continues to evolve to a more customer experience management (CXM) focus for companies at a rapid pace, we are seeing a new category emerge in the market. CODE-P’s, or Customer Omnichannel Digital Experience Platforms, enable organizations to offer a holistic approach to managing all customer communications – transactional, servicing and marketing – while simultaneously creating a more seamless and cohesive end-customer experience. The impact of this shift is significant – 63% of bank customers for example, say they would switch banks if communications don’t meet expectations. But if you’re trying to combine legacy systems it’s not an easy task, as fragmented systems were not designed to evolve together leaving you at risk for significant customer attrition.
With the recent announcement of the acquisition of CEDAR CX by Precisely, this new CODE-P category is taking shape, combining the expertise of hosted managed service platforms with legacy CCM service providers. And Aspire believes this cloud-based solution will help companies further fast-track changes and innovation in regulated communications. Join this Aspire-hosted webinar to hear from experts Kaspar Roos, founder & CEO of Aspire; Greg Van den Heuvel, EVP & GM of Precisely; and Richard Bishop, Sales EVP of Precisely, on the future of this space and the impact customer communications can make on the success of your CX.
Don't Leave Data Behind: Integration Strategies for On-premise and Cloud Solu...Perficient, Inc.
As the SaaS application market matures, IT organizations are adopting a cloud integration strategy around hybrid environments that focuses on combining cloud and on-premise solutions to house data, augment internal capacity and increase business agility.
Join Perficient and Informatica for a webinar focusing on key issues and opportunities surrounding hybrid IT models, including:
Managing a data environment that is both in the cloud and on-premise
Keeping information in sync and current to influence better business decisions
Examples of successful, company-adopted hybrid architecture models for maximum ROI and agility
Use case examples with Salesforce.com and RedShift (Amazon web services)
Demonstration of Informatica Cloud Integration
The Data Governance Annual Conference and International Data Quality Conference in San Diego was very good. I recommend this conference for business and IT persons responsible for data quality and data governenance. There will be a similar event in Orlando, December 2010. This is the presentation I delivered to a grateful audience.
Data Centric Development: Supercharge your web & mobile application developmentBright North
Many businesses are finding that their web and mobile applications aren’t providing the long-term solution they were hoping for. As consumers provide more and more useful data, these digital platforms don’t allow businesses to take advantage of the huge opportunities that data presents.
Our new whitepaper details the practical steps you can take to supercharge your web and mobile application development and stay ahead of the data revolution.
Lower Total Cost of Care and Gain Valuable Patient Insights through Predictiv...Perficient, Inc.
Learn how predictive analytics for healthcare can enable your organization to make proactive decisions that can have a profound impact for both patients and care providers. We discuss current and emerging healthcare trends and the positive impact that predictive analytics can have on your organization by:
Optimizing Resource Utilization: Better allocate nurses, clinicians, diagnostic machinery and other resources by predicting future admission volumes
Enhancing Patient Care: Proactively treat patients by more accurately predicting the chance of a chronic condition or the response to medications and therapies
Improving Clinical Outcomes: Analyze treatment success rates to improve treatment plans, minimizing complications and readmissions
Increasing Income and Revenue: Prevent fraudulent behavior and identify opportunities to collect missing income
Improving the customer experience using big data customer-centric measurement...Business Over Broadway
This presentation provides an overview of some of the content of my new book, TCE: Total Customer Experience. In the presentation, I discuss customer experience management, customer loyalty, the optimal customer survey, the value of analytics and using a Big Data customer-centric approach to improve the value of all your business data
Yammer External Networks: Engaging Customers and Partners Perficient, Inc.
Yammer has distinguished itself as an enterprise social network on the inside of organizations, but its potential for engaging external customers, partners and vendors remains largely unnoticed. Most organizations have yet to tap into Yammer's ability to extend its features outside of the company walls.
Find out how Yammer is redefining the traditional external network, and how its ease of adoption, powerfully interactive style of information sharing and governance tools combine with mobile accessibility and the power of the cloud to deliver social, secure and world-class external collaboration.
Salesforce Master Data Management WebinarRajeev Kumar
Webinar on Salesforce Master Data Management covering the definitions,strategy, tools, architecture for MDM:
- What is Master Data Management (MDM)?
- Why use MDM ?
- Steps for implementing MDM in your organization
- Architecture Models of MDM
- Salesforce Data duplicity/DeDupe issue and ways to mitigate it
- Best Deduplication/ DeDupe tools for Salesforce CRM (Ex: Advitya)
Datastax - The Architect's guide to customer experience (CX)DataStax
From scalability to data access to data governance, learn the specific performance and data requirements of a customer experience-ready data management platform.
Kickstart a Data Quality Strategy to Build Trust in DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this session to learn key metrics and steps you can take to kickstart a data quality strategy.
How to Drive Better Business Insights with Strong Data GovernanceMatt Dillon
Learn why leading CMOs and CEOs are making data governance and data integration a top priority for driving revenue growth and improving profitability.
Your data is one of the most important assets you have as a business but are you taking the necessary steps to manage your data with care?
Are you using your data to improve the customer experience and make better business decisions?
Webinar includes:
- Creating a centre of excellence
- Establishing data standardization
- Developing application management plans
- Release management
- Incorporating data & systems integration strategies
- Data cleansing essentials
DAMA Australia: How to Choose a Data Management ToolPrecisely
The explosion of data types, sources, and use cases makes it difficult to make the right decisions around the best data management tools for your organisation. Why do you need them? Who is going to use them? What is their value?
Watch this webinar on-demand to learn how to demystify the decision making process for the selection of Data Management Tools that support:
· Data governance
· Data quality
· Data modelling
· Master data management
· Database development
· And more
Creating a Successful API Program to Drive Digital TransformationPerficient, Inc.
API management is a driving discipline in the digital transformation movement that can unlock tremendous business value. Because APIs intersect at IT and the business, it’s important to understand how they can be used. APIs can connect inventory management with resource planning for better operational efficiency, integrate with partner organizations for increased sales, and push data to and from a mobile device for the connected enterprise and consumer. The core concepts of APIs are technical in nature, but their business applications are almost limitless.
Creating a successful API program goes way beyond choosing the right tool. The supporting components and disciplines (some tried and true and some emerging) around API management are a critical component of the comprehensive picture.
In this webinar, we discussed:
-The building blocks of a strong API program
-How to get executive buy-in
-Supporting components and disciplines of API management
-How APIs help to build a world-class digital business
Mobile Data Management Strategy Powerpoint Presentation SlidesSlideTeam
Ensure that employees have a seamless and secure experience across the devices by incorporating our readily available Mobile Data Management Strategy PowerPoint Presentation Slides. Our content-ready mobile device management PowerPoint complete deck contains templates that describe problem statement, project description, project goals and objectives, assumptions, project scope, etc. Key statistics of worldwide mobile app users can be easily depicted. Understand the overall company strategy, dependencies, and competitors by taking assistance from our mobile data strategy PowerPoint infographics. The slides also explain the executive summary by revenue and profits details of the target years. Highlight the mission, vision, and values of your organization by easily editing the slides. Establish a value proposition by describing how value will be delivered, acquired, and experienced by the customer. The mobile data management PPT slideshow will help you to consider what your competitors are offering through mobile channels. The competitive landscape section will help you analyze and identify your direct or indirect competitors. Discuss mobile channel interactions that allow the customers to quickly interact with your company in a convenient and seamless way. The organization can showcase their enterprise mobile app strategy. Also, discuss in detail, mobile strategy roadmap, resources need for execution, the budget required, enterprise mobility stack, etc. by downloading our mobile data management strategy PPT slide deck. https://bit.ly/2T3cEn1
With recent acquisitions of master data management, process automation, and data governance capabilities, Precisely accelerates its leadership in data integrity with the broadest solution available from any one company. Join us in this webinar to learn about:
- The importance of data integrity for building business opportunities based on trusted data.
- How Winshuttle’s master data management and process automation products help achieve trust in data.
- How data governance capabilities from Infogix bridge the gap between business and IT to map your data integrity journey.
Evidence suggests that the track record of MDM (Master Data Management) initiatives is not very good. Traditional MDM is often a costly, time-consuming, IT-driven activity that is disconnected from business goals and stakeholders. Even MDM projects that initially meet their goals often suffer during sustainment, or are limited to specific divisions and fail to provide value for the rest of the organization.
This webinar will:
- Review the technical and business challenges associated with the traditional MDM lifecycle
- Explain why the technologies and conventional wisdom associated with MDM do not seem to be working
- Discuss use cases of organizations who have achieved success by adopting a new, iterative approach called "streamlined MDM"
Мониторинг рынка газовых водонагревателей. В полной версии отчета есть самые новые данные по рынках Украины, России, Белоруссии, Казахстана и Молдовы.
Подробнее: www.aimarketing.info
The Chinese version of the presentation, delivered on Monday 7th December 2009 to attendees to Wai Yin Chinese Women Society's Education Training and Employment Unit Award Ceremony, held at Glamorous Restaurant in Manchester.
The English version of the presentation, delivered on Monday 7th December 2009 to attendees to Wai Yin Chinese Women Society's Education Training and Employment Unit Award Ceremony, held at Glamorous Restaurant in Manchester.
Why do Data and Analytics struggle in large organizations? This presentation explores the structural and causal issues at play through the lens of 'systems thinking' and 'business dynamics'.
How To Improve Profitability & Outperform Your Competition: the Guide to Data...A.J. Riedel
Find out how adopting data-driven decision-making can reduce your risk of making costly marketing and product mistakes and improve your product sell-through in this free E-Book.
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/#
Know Your Market - Know Your Customer: What Web Data Reveals if You Know Wher...Connotate
In this presentation, Connotate will share expertise gained from years of experience extracting data from the Web and making it usable. Connotate’s experts will explain why certain Web data sources are easy to tap into, why others aren’t – what to consider when scoping out a project.
Is Your Company Braced Up for handling Big Datahimanshu13jun
Has your company recently launched new product or company is concerned with the poor sales figure or want to reach new prospects and also reduce the existing customers' attrition, then this thought evoking short hand guide is available for you to explore.
The business value of consumer analytics and big data is not just about what you can discover or infer about the consumer, but how you can use this insight promptly and effectively across multiple touchpoints (including e-Commerce systems and CRM) to create a powerful and truly personalized consumer experience.
For most organizations, mobilizing this kind of intelligence raises organizational challenges as well as technical ones.
This presentation reveals how some leading companies are starting to address these challenges, and describes the vital role of enterprise architecture in supporting such initiatives.
Your AI and ML Projects Are Failing – Key Steps to Get Them Back on TrackPrecisely
With recent studies indicating that 80% of AI and machine learning projects are failing due to data quality related issues, it’s critical to think holistically about this fact. This is not a simple topic – issues in data quality can occur throughout from starting the project through to model implementation and usage.
View this webinar on-demand, where we start with four foundational data steps to get our AI and ML projects grounded and underway, specifically:
• Framing the business problem
• Identifying the “right” data to collect and work with
• Establishing baselines of data quality through data profiling and business rules
• Assessing fitness for purpose for training and evaluating the subsequent models and algorithms
I presented this at ICT Spring Europe 2015 in Luxembourg. The presentation highlights the way in which big data investments are not always delivering on their promise and why brands should consider taking a 'human-centred' approach to big data analytics.
Everyone's talking about big data – getting our arms around it and putting it to work for us. This paper summarizes a panel discussion at the 2012 SAS Financial Services Executive Summit where industry leaders shared their ideas about big data and what their organizations are doing with it. Aditya Bhasin from Bank of America talked about how to extract more value from the data you already have, even if it's just a fraction of what's out there. Robert Kirkpatrick, who leads the UN Global Pulse initiative, talked about how data can help us better understand global economies and human welfare. Charles Thomas, a market research and analytics executive at USAA, described how his company is navigating the shift to more real-time and predictive analysis. Request the full whitepaper at: http://www.sas.com/reg/wp/corp/50060?&utm_source=NAFCUServices&utm_medium=landingpage&utm_campaign=SASwhitepaper82912. More info at: www.nafcu.org/sas
I volunteered my time to share about big data to those looking to understand the space.
This was for Networking with Grace, a group that is focused on helping those get back to work. I put this presentation together to help people learn about big data and how to transition their skill sets to the space.
Search Engine Results: The Best Measure? Fan Foundry
Learn the basic evergreen SEO tactics that defy algorithm changes. Experiment with creating Lead Magnet emails that outperform. Look into future trends that could affect your business fortunes. It's all in here. Enjoy!
5 Steps to Transform into a Data-Driven Organization - Ganes Kesari - Gramen...Ganes Kesari
This session was presented on May 27th, 2021, in a Webinar organized by Gramener.
https://info.gramener.com/5-steps-to-transform-into-data-driven-organization
Session Details:
Today, organizations struggle to get value from data despite significant investments. Did you know that there's one factor that influences the outcomes of all your data initiatives?
This webinar will highlight how an organization's data maturity influences its performance. It will show how you can assess your data maturity and plan the five steps for data-driven business transformation.
Pain points we would be discussing:
Most organizations stagnate midway in their data journey.
Gartner says that over 87% of organizations in the industry are at lower levels of data maturity (levels 1 and 2 on a scale of 5).
Just doing more data science projects will not improve your capabilities or outcomes. The fact is that the top challenges reported by CDOs fall into five common areas.
This webinar will show what they are and how you can tackle them.
Who should attend
- Executives, Chief Data/Analytics Officers, Technology leaders, Business heads, Managers
What Will You Learn?
- What is data science maturity, and why does it matter?
- How do you assess data science maturity and limitations of the assessment?
- How can data science maturity help your organization level up (explained with an example)?
Similar to Using Powerful Questions to Drive Your Information Strategy (20)
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
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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.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
4. 4
How do you provide
focus to your
information needs?
When focused, water has the power to
cut through steel
Pictured at right is a 5-axis water jet cutting head that
pressurizes water to up to 100,000 PSI.
Source: http://en.wikipedia.org/wiki/Water_jet_cutter
5. Why the focus on questioning?
5
The signs that led to a focus on enquiry
23,000. Number of syndicated
reports and variations that were
proliferated at large CPG
manufacturer.
Lack of clarity. “Capture everything”
leading to debates about source instead of
relevance.
Systems, maintenance and acquisition.
Increase in data leading to growth in costs.
Rapid expansion in tools to
exploit information. HANA,
R, Hadoop, NoSQL, Logical
data warehouses, in-
memory appliances.
70. Number of distinct data
sources incorporated into
recent analytic model.
Desire to transform
business models.
Companies needing to
transform, but being
constrained by data and
technical debt.
We have made the shift from scarcity to abundance of information,
without corresponding progression in our design approach.
6. 6
Your great subtitle in this line
“What unique resource strengths does St.
Petersburg have over every other city in the
world?”
Russian Offshore Technology Firm
7. Brewer Metric Standardization
7
EBIDTA
Net
Producer
Revenue
Cost of
Sales
COS
Variable
Freight
& Fuel
COS
Fixed1,200Team identified, rationalized, and standardized
metrics down to a list of 1,200 from brewery
operations to consumer insights.
Metrics
7 Identified 7 key performance indicators that we
believe we need to control to drive the strategic
objectives.
Topline KPIs
1.5 Amount of time it spent beginning to end to drive
adoption of the idea, not including metric
standardization.
Years
Marketing
Spend
SG&A
National
Spend
Local
Spend
8. CROSSMARK IS THE SMARTER WAY
TO FASTER GROWTH.
Crossmark sits in a unique
position in the market with direct
engagement across
manufacturers, retailers and
consumers.
Consumers
Retailers Manufacturers
• Digital, social, experiential, affinity, panel,
consumer incentives
• Hundreds of thousands of direct engagements
• Millions of loyalty/affinity card members
Helping manufacturers activate their
products with retailers and
consumers.
• Planning, forecasts, sales to
retailer, promotion, digital
Helping retailers manage their
store activities.
• POS, assortment, planograms,
beacons, loyalty, digital.
• Billions of direct observation
data points at retail per year
Manufacturer Data
Consumer Data
Retailer Data
9. 9
“The people who don’t ask
questions remain clueless
their whole lives.”
- Neil deGrasse Tyson
10. Questioning and Our Brain
10
Divergent Thinking
Taps into the right hemisphere of the
brain that drives random pattern
association.
Political Bias
When faced with a difficult
mathematical question, people revert
to their political bias.
Fight Against Intuition
Cognitive scientists have published
studies showing that people are
unwilling to accept controversial ideas
that contradict their previous intuition.
4 year olds
They ask 390 questions a day, but that
will be the high point in their lives.
11. Questioning is an Unlearned Behavior
11
Our education processes discourage inquiry.
• Questioning isn’t taught in school
• We reward students on developing “expertise,” which we define as memorization of
facts.
• We hire people with advanced degrees who are “experts” in their field to drive our
critical projects.
Companies invest in candidates with advanced degrees and expertise. An expert is
someone who has mastered a subject and therefore doesn’t need to ask questions.
12. Consulting & Development Methodologies
Discourage Questioning
12
Business Process
How will we integrate?
How will we do our
work?
Vision
Where do we want to
compete?
Measurement
Lorem ipsum dolor sit
amet, consectetuer
adipiscing elit
Implementation
Strategy
How will we
differentiate ourselves?
Development
13. Organizational Inertia
13
99%
Where your business
lives day-to-day
Organization behaviour is a real world example of regression to the mean.
Existential
threat
Ground
breaking
innovation
15. Increased Time to Value
15
Complexity increases the duration of every task
Month 1 Month 2 Month 3
Month 1 Month 2 Month 3 Month 4 Month 5 Month 7 Month 8
~7 month project
Complex approach 6 Weeks
Define
4 weeks
Develop
2 days data
3 weeks
Test
3-4 weeks
Rework
2 weeks
Tune
2 weeks
Backload
4 weeks
Volume Test
2-3 weeks
Report
2 weeks
Implement
Focused approach ~3 month project
4 weeks
Define
Design
Data modelling
Data acquisition
4 weeks
Develop/Test/Rework
ETL development
Data replication
Database development
Unit testing, integrated testing
Statistical analysis modeling
Tune
Index build and
rebuild
Aggregation and
embedded
calculation
optimization
Testing and tuning
2 weeks
Report development
Volume Test
Data refresh
End user acceptance
1-2 weeks
Implement
Physical model
replication
Testing
Backload
No backload, as
all dev and
testing against
full data
volumes
16. Increased Ongoing Total Cost of Ownership
16
Maintaining data complexity reduces operational efficiency
Data systems
Additional server &
storage costs
Additional Support
Resources
Maintenance of
additional indexes &
aggregates
Maintenance of
additional ETLs
Software costs as
you upgrade to
faster CPU’s
Additional costs associated
with growth of data, its
complexity and the
compounding nature of
such issues
Loss of business
productivity
Inefficiency
costs
+
+
+
+
+
+
Over-buying data
+
17. Complexity Decreases
Productivity
17
In absence of precision firms capture everything
Requiring users to enter extra data greatly
decreases productivity and requires greater
change management to enable.
18. 18
Nest
Why can’t the
“unloved objects” in
homes be smarter?
Box.com
Why can’t I access my
files anywhere?
Amazon
How do we remove
friction in the path to
purchase?
Waze
How can we
optimize travel
through real-time
traffic information?
Mint.com
How can we simplify
and enrich personal
finance?
Uber
More tightly manage
supply and demand
between drivers and
riders.
Missed Opportunity Costs Dwarf Productivity Losses
19. In an interview with Fortune, Jeff Bezos indicated that
meetings with his senior executive team at Amazon begin with
reading 6 page memos for up to 30 minutes. Participants
spend this time absorbing every word.
“They have verbs. The paragraphs have topic sentences.
There is no way to write a six-page, narratively structured
memo and not have clear thinking.”
20. On the Kindle
“Books, in my view, are too expensive. Thirty dollars for a book is too expensive. If I'm only
competing against other $30 books, then you don’t get there. If you realize that you’re really
competing against Candy Crush and everything else, then you start to say, “Gosh, maybe we
should really work on reducing friction on long-form reading." That’s what Kindle has been
about from the very beginning.”
• Amazon Prime
• 1-click ordering
• Pro-active shipping before items are
ordered
• Dash buttons
• Same day delivery
• Two hour delivery
• Drone delivery
“How do we remove friction in the path to purchase?”
15,000% TSR
Total shareholder returns
since 1997 IPO.
$90 Billion
Total sales in 2014.
426
Number of items sold per
second on 2013 Cyber
Monday
21. 21
“Effective leaders ask questions
instead of giving orders.”
- Dale Carnegie, “How to Win Friends and Influence
People”
23. What is a powerful question?
23
They clearly define the issue
Powerful questions clearly articulate the problem. They do not attempt to solve multiple unknowns simultaneously.
They drive outcomes
Powerful questions drive decisions and outcomes. A question without an outcome is trivia.
Tips for developing effective and objective questions.
They are simple
Complex language and terminology is used to mask a lack of understanding. Good questions are simple and spoken in a
language everyone can understand.
They are objective
They do not impose a bias on the inquiry process.
24. Inquiry Process
24
Diverge
Used to explore possibilities outside of
the initial frame.
Strategic Framing
Identifying the key problem or
opportunity facing the business.
Factual/Evaluative
Questions whose results can be
directly measured.
Converge
Used to constrain questions after
divergence to those which best align
with the business objective.
Create Choices Make Choices
25. “What business am I in? Or, what business should I be in tomorrow?”
Framing Questions
25
These questions should be tied to your overall corporate strategy.
• You must know who your customer is and their value to you.
• A detailed assessment of the value you provide to them.
• What business problem are we trying to solve?
Useful Types of Data
• CRM data, with enrichment to enable classification
• Financial data
• Sales data, with enrichment to enable classification
26. Divergent Questions
26
Divergent questions explore additional possibilities to ensure we have appropriate
framed the question and explored adjacent possibilities.
• Sales of soda vs. “share of stomach” ensures that beverage firms don’t become
narrowly focused.
Additional Types of Data
• Industry sales
• PESTLE trends (Competitive, Economic, Political, Legal/Regulatory, Technological,
Sociocultural)
“If I had asked my customers what they wanted, they would have asked for a faster horse.”
- Henry Ford
27. Convergent Questions
27
Convergent questions focus and prioritize those which are most likely to have a
significant impact.
• Quantify by the size of impact and probability and prioritize
Additional Types of Data
• Evaluative analysis for sizing and probability
28. Factual Questions
28
Factual questions are those that have a direct answer.
• Processes must be designed at the beginning to measure the answer to these
questions.
Additional Types of Data
• Observation data
29. Question Inventory Matrix
29
Problem/
Hypothesis/
Question
Possible Driver
or Cause
Analysis/Tool/
Model
Data (What data
set(s) best explains
it?)
Timing/Avai
lability
Responsible
(Synthesizes
Analysis)
Accountable
(Decides)
Decision to
Drive
Deadli
ne
What is the
incrementality of
a new product
launch?
(EXAMPLE)
Media
awareness
Marketing Mix Sales, Distribution,
Media Actuals
2 months
after event
Marketing
Analysts
Brand Director Do we need
to change
our
investments
in the new
product?
Should we
launch?
1/31/2
015
Distribution Distribution
incrementality
analysis
Nielsen, POS, Manu
Sales to Retailer (STR)
Week after
event
Sales Analyst Sales
Director
Should we
launch the
product?
Distribution
execution &
effectiveness
Store audits, Nielsen,
POS
Week after
event
Sales Analyst Distribution
Manager
Where
should we
focus our
distribution
efforts?
30. Conceptual Enterprise Business Matrix
30
Point of
Sale
Wholesale
Data
Distribution
Data
Media
Planning Data
Promotional
Spend
Store Audit
Data
Marketing Mix
Analysis Yes Yes Yes Yes Yes No
Distribution
Incrementality Yes Yes Yes No No No
Distribution
execution Yes Yes Yes No No Yes
Analysis 4 Yes No Yes No No No
Analysis 5 Yes Yes Yes Yes Yes No
Analysis 6 No Yes No No No Yes
Capture, generate or
acquire data once in a way
that satisfies across all
questions.
31. Conceptual Enterprise Business Matrix
31
Point of
Sale
Wholesale
Data
Distribution
Data
Media
Planning Data
Promotional
Spend
Store Audit
Data
Marketing Mix
Analysis Yes Yes Yes Yes Yes No
Distribution
Incrementality Yes Yes Yes No No No
Distribution
execution Yes Yes Yes No No Yes
Analysis 4 Yes No Yes No No No
Analysis 5 Yes Yes Yes Yes Yes No
Analysis 6 No Yes No No No Yes
Model in a way that integrates data
once for use across multiple questions.
32. Validation Process
32
Measuring and analyzing the results are fundamental to improving an
organization over time.
Repeat Measurement
Continue measuring results.
Measure
Did the result match expectations?
Repeat
Continue executing against
your hypothesis to capture a
representative sample of data.
Execute
Lorem ipsum dolor sit amet,
consectetur adipiscing elit sed
do eiusmod aliqua.
Analyze
START
Measure results
Execute against hypothesis
Execute against hypothesis
Measure results
33. 33
Key Takeaways
Focus on Questions that Drive Objectives
Remember that actionability is the key test of a powerful question.
Frame/Diverge/Converge
Use the frame/diverge/converge process to ensure you aren’t becoming predictable
or stale.
Tie Business Questions to Data Design
Use questions to tie to your enterprise data design.
Measure
Questions should be designed in a way that allows for measurement, and
measurement should be built into the design of processes.
Refine Questions Over Time
Businesses are not static, nor should the questions we use to drive them. Analyze
your ability to answer questions at regular intervals and refine them.
34. 34
THANK YOU
Rob Saker
Twitter: @robsaker
rob.saker@crossmark.com
Sources and additional reading:
“How to Win Friends & Influence People,” Dale Carnegie
http://www.amazon.com/How-Win-Friends-Influence-People/dp/1508569754
“A More Beautiful Question,” Warren Berger
http://www.amazon.com/More-Beautiful-Question-Inquiry-Breakthrough/dp/1620401452
“Before You Innovate, Ask the Right Questions,” HBR. https://hbr.org/2013/02/before-you-innovate-ask-the-ri
“The Second Machine Age,” Andrew McAfee, Eric Brynjolfsson, http://www.amazon.com/The-Second-Machine-Age-Technologies/dp/0393239357
“Inmon vs. Kimball – An Analysis,” Nagesh. http://www.nagesh.com/publications/technology/173-inmon-vs-kimball-an-analysis.html
“Relentless Practical Tools for Data Warehousing and Business Intelligence,” Ralph Kimball, Margy Ross. http://www.amazon.com/Kimball-Group-Reader-
Relentlessly-Intelligence/dp/0470563109/ref=sr_tc_2_3?ie=UTF8&qid=1432841651&sr=8-2-ent
“Amazon’s Jeff Bezos, the Ultimate Disrupter,” Adam Lashinsky, http://fortune.com/2012/11/16/amazons-jeff-bezos-the-ultimate-disrupter/
Editor's Notes
2001, took on a client doing market development analysis. Based in St. Petersburg, Russia. They were competing for business with every other offshore provider for the same finite list of clients.
After an exhaustive analysis, we asked the question, “what unique resource strengths does St. Petersburg offer over every other city?”
Russians have the best traditional mathematicians and analog technologists in the world. St. Petersburg Russia regularly beat out Oxford, MIT, Stanford and Indian universities in advanced mathematics competitions. This was largely due to their being isolated during the Soviet days and not being integrated with the new digital technologies.
Insurance companies. They need brilliant actuarial minds to analyze risk.
We identified industries and businesses that needed that unique strength – firms that none of the other offshore firms had been approaching (other side of the continent) - and within 3 months had quadrupled their qualified leads to $12 million.
As expected, it took students much longer to assess the veracity of true scientific statements that cut against our instincts. In every scientific category, from evolution to astronomy to thermodynamics, students paused before agreeing that the earth revolves around the sun, or that pressure produces heat, or that air is composed of matter. Although we know these things are true, we have to push back against our instincts, which leads to a measurable delay.
New Yorker
When they saw the scientifically correct video, blood flow increased to a part of the brain called the dorsolateral prefrontal cortex, or D.L.P.F.C. The D.L.P.F.C. is located just behind the forehead and is one of the last brain areas to develop in young adults. It plays a crucial role in suppressing so-called unwanted representations, getting rid of those thoughts that aren’t helpful or useful. If you don’t want to think about the ice cream in the freezer, or need to focus on some tedious task, your D.L.P.F.C. is probably hard at work.
Validating or disproving hypotheses are critical in getting to the right questions.