This document discusses a survey on how enterprises are leading in the age of unbounded data. The key findings include:
- Enterprises have become highly instrumented, using new data sources and analytics to drive insights. However, making sense of this complex data ecosystem is challenging.
- Sense-making is the top data priority for enterprises, more so than just accessing more data. Data quality issues are also a major problem.
- Customer data in particular has low quality and is underutilized, despite its potential to drive competitive advantage.
- Fewer than half of respondents rate the quality of their customer, partner, and employee data as good or excellent.
- While most enterprises measure customer experience
Survey Results Age Of Unbounded Data June 03 10nhaque
Enterprises today can generate, collect and consider more data than ever before. New types of data can provide insight into previously opaque processes and motivations, but prodigious quantities of data present opportunity, as well as complexity and distraction. nGenera Insight’s 2010 Leading in an Age of Unbounded Data survey garnered responses from over 70 major organizations, including many global corporations, to provide a cross-industry pulse of the state of enterprise data.
The document discusses the findings of a survey on big data adoption in Asia-Pacific companies. Some key findings include:
- More than half of firms have made little progress implementing big data strategies, though most believe big data can benefit their business.
- Internal issues, like a lack of data sharing between departments, are the primary barriers to adoption cited by 91% of respondents.
- Communication of big data strategies is poor, with over 40% unaware of their company's strategy or how it impacts them.
- Frontline employees report critical data is often inaccessible, with 80% saying access is important but only 19% able to access needed data.
The document discusses the results of a survey about machine learning adoption among businesses. Some key findings include:
- 60% of respondents have already implemented ML strategies, with nearly 1/3 considering themselves mature in their initiatives.
- Early adopters are realizing benefits like increased data insights and return on investment.
- Common ML projects include image recognition, text analysis, and natural language processing.
- While most organizations plan to adopt ML, some lack understanding of how to apply it or secure funding.
- Data scientists and C-suite executives are often the champions of ML initiatives within organizations.
Ventana Research Big Data Integration Benchmark Research Executive ReportVentana Research
Data continues to flood into today’s enterprises in ever-increasing velocity, variety and volume. This big data brings with it challenges – in storing it and in integrating it all into a form that can be used for business tasks. Many organizations try to use technology already on hand to collect, access and integrate big data. But processing manually or using legacy tools is slow and risks creating errors that undermine the value of the information and cause users to lose confidence in it. Automated processes using technology specifically designed for big data integration can overcome these issues and enable businesses to use the information to make decisions.
Big data and analytics are held in high regard by agencies worldwide, but implementing government programs remains challenging. Bloomberg Businessweek Research Services and SAP launched a global survey in summer 2013 to analyze the views of public sector executives on the use and benefits of analytics.
1) Analytics use is on the rise in businesses, with more companies using it across their entire enterprise. Two-thirds have appointed analytics leaders and over half see senior leadership as committed to analytics.
2) Predictive analytics use has nearly tripled since 2009 as companies seek to anticipate the future. However, the demand for predictive capabilities exceeds current supply.
3) Analytics is primarily being used in customer-focused areas like marketing, sales, and customer retention to improve experiences and decision-making. However, companies still need to better link analytics insights to key business outcomes.
The Economist Intelligence Unit surveyed over 600 business leaders worldwide and across different industry sectors about the use of Big Data in their organizations.
The research confirms a growing appetite for data and data-driven decisions and those who harness these correctly stay ahead of the game. The report provides insight on their use of Big Data today and in the future, and highlights the advantages seen and the specific challenges Big Data has on decision making for business leaders.
Key findings:
75% of respondents believe their organizations to be data-driven
9 out of 10 say decisions made in the past 3 years would have been better if they’d had all the relevant information
42% say that unstructured content is too difficult to interpret
85% say the issue is not about volume but the ability to analyze and act on the data in real time
Data lake-adoption-and-maturity-survey-findings-reporthainguyenle89
This document provides an overview of the key findings from a survey on data lake adoption and maturity conducted by Radiant Advisors and Unisphere Research. Some of the main findings include:
- The data lake concept is becoming increasingly recognized but still lacks a single, agreed upon definition.
- Clear early use cases for data lakes exist in data discovery, data science, and big data projects.
- Governance and security remain top challenges for successful data lake implementation.
- Hadoop adoption is widespread, with over half of respondents currently using Hadoop clusters.
- Commitment to the data lake strategy is growing, seen in budget allocations and planned use cases.
Survey Results Age Of Unbounded Data June 03 10nhaque
Enterprises today can generate, collect and consider more data than ever before. New types of data can provide insight into previously opaque processes and motivations, but prodigious quantities of data present opportunity, as well as complexity and distraction. nGenera Insight’s 2010 Leading in an Age of Unbounded Data survey garnered responses from over 70 major organizations, including many global corporations, to provide a cross-industry pulse of the state of enterprise data.
The document discusses the findings of a survey on big data adoption in Asia-Pacific companies. Some key findings include:
- More than half of firms have made little progress implementing big data strategies, though most believe big data can benefit their business.
- Internal issues, like a lack of data sharing between departments, are the primary barriers to adoption cited by 91% of respondents.
- Communication of big data strategies is poor, with over 40% unaware of their company's strategy or how it impacts them.
- Frontline employees report critical data is often inaccessible, with 80% saying access is important but only 19% able to access needed data.
The document discusses the results of a survey about machine learning adoption among businesses. Some key findings include:
- 60% of respondents have already implemented ML strategies, with nearly 1/3 considering themselves mature in their initiatives.
- Early adopters are realizing benefits like increased data insights and return on investment.
- Common ML projects include image recognition, text analysis, and natural language processing.
- While most organizations plan to adopt ML, some lack understanding of how to apply it or secure funding.
- Data scientists and C-suite executives are often the champions of ML initiatives within organizations.
Ventana Research Big Data Integration Benchmark Research Executive ReportVentana Research
Data continues to flood into today’s enterprises in ever-increasing velocity, variety and volume. This big data brings with it challenges – in storing it and in integrating it all into a form that can be used for business tasks. Many organizations try to use technology already on hand to collect, access and integrate big data. But processing manually or using legacy tools is slow and risks creating errors that undermine the value of the information and cause users to lose confidence in it. Automated processes using technology specifically designed for big data integration can overcome these issues and enable businesses to use the information to make decisions.
Big data and analytics are held in high regard by agencies worldwide, but implementing government programs remains challenging. Bloomberg Businessweek Research Services and SAP launched a global survey in summer 2013 to analyze the views of public sector executives on the use and benefits of analytics.
1) Analytics use is on the rise in businesses, with more companies using it across their entire enterprise. Two-thirds have appointed analytics leaders and over half see senior leadership as committed to analytics.
2) Predictive analytics use has nearly tripled since 2009 as companies seek to anticipate the future. However, the demand for predictive capabilities exceeds current supply.
3) Analytics is primarily being used in customer-focused areas like marketing, sales, and customer retention to improve experiences and decision-making. However, companies still need to better link analytics insights to key business outcomes.
The Economist Intelligence Unit surveyed over 600 business leaders worldwide and across different industry sectors about the use of Big Data in their organizations.
The research confirms a growing appetite for data and data-driven decisions and those who harness these correctly stay ahead of the game. The report provides insight on their use of Big Data today and in the future, and highlights the advantages seen and the specific challenges Big Data has on decision making for business leaders.
Key findings:
75% of respondents believe their organizations to be data-driven
9 out of 10 say decisions made in the past 3 years would have been better if they’d had all the relevant information
42% say that unstructured content is too difficult to interpret
85% say the issue is not about volume but the ability to analyze and act on the data in real time
Data lake-adoption-and-maturity-survey-findings-reporthainguyenle89
This document provides an overview of the key findings from a survey on data lake adoption and maturity conducted by Radiant Advisors and Unisphere Research. Some of the main findings include:
- The data lake concept is becoming increasingly recognized but still lacks a single, agreed upon definition.
- Clear early use cases for data lakes exist in data discovery, data science, and big data projects.
- Governance and security remain top challenges for successful data lake implementation.
- Hadoop adoption is widespread, with over half of respondents currently using Hadoop clusters.
- Commitment to the data lake strategy is growing, seen in budget allocations and planned use cases.
The document discusses key trends in data management identified by global research. It finds organizations are increasingly focused on understanding customers as individuals to offer personalized service. However, inaccurate and incomplete data undermines customer experience for many. Experts recommend using data to develop a single view of each customer by linking all available information. This would allow real-time insights and responses tailored to individual customers, improving relationships and sales. Achieving accurate and comprehensive customer data remains a challenge for most organizations.
"Big data in western europe today" Forrester / Xerox 2015yann le gigan
The document summarizes the findings of a survey conducted by Forrester Consulting on behalf of Xerox regarding big data usage in Western Europe. The key findings are:
1) Senior decision-makers see big data as a top priority and have extensive plans to implement big data initiatives across a wide range of use cases in 2015.
2) Companies expect to see returns on their big data investments within 12 months and are using big data to improve efficiency and manage risk.
3) While big data offers opportunities, respondents acknowledge challenges such as ensuring data quality and integrating big data into decision-making.
Advanced Business Solutions surveyed over 300 UK-based Not-for-Profit (NFP) organisations – charities and membership organisations – to investigate how well they’re managing their membership data.
The results were surprising. According to the report, 96 per cent of NFPs are struggling to manage, decipher and capitalise on the terabytes of data they hold about their members and supporters.
Nearly all NFP organisations are struggling to effectively collect and analyse valuable data which, as a result, threatens to erode hard-won loyalty. It also reveals that 75 per cent of those surveyed don’t have the time, skills or funds to resolve these issues – threatening their long-term success.
We hope you find the report informative. If you want to talk more about how we could help you handle your data in a specialist CRM system please give us a call on 08448 155 640.
The survey of 395 C-level executives from various industries found:
1) Executives have overwhelmingly positive views of big data and its potential, especially for increasing sales, improving efficiency and building customer loyalty.
2) While recognizing big data's potential, three-quarters want a deeper understanding of the underlying technologies. Customer insights and targeting are currently seen as top priorities for big data applications.
3) Lack of understanding of how to apply big data to specific business functions is cited as the top internal obstacle to greater use of big data.
The document provides findings from a survey of 150 data leaders about leveraging big data at their companies. Key findings include:
- Nearly all respondents believe their company is headed in the right direction with big data due to investments in new talent, technologies, and alignment on usage. However, only about half say big data is extensively leveraged across all business units currently.
- Respondents face challenges like data silos, legacy storage systems, and a lack of standardized measurement for big data initiatives. Finding skilled analytics talent is also difficult.
- Resources needed for success vary but include better tools, centralized talent management, and more information on the business value of big data.
The New Creatives Report - Creative ProfessionalsAdobe
These are the findings from an Adobe-commissioned U.S. survey of more than 1,000 creative professionals and 500 students in creative disciplines. The study provides insights into the attitudes and beliefs of the creative vanguard – including graphic designers, illustrators, Web designers, photographers and video professionals – about the future of the creative industry.
See "The New Creatives Report June 2014 - Student Findings" for deeper details on what the students had to say about the future of the creative industry: http://slidesha.re/1nf3okd
The document summarizes key findings from a survey of 253 corporate marketing decision makers regarding their use of data, digital tools, and marketing ROI measurement. Some of the main findings include:
1) While 91% of marketers believe using customer data is important, many are not collecting the right types of data like mobile or social media data, or are not sharing data effectively across organizations.
2) Marketers have widely adopted new digital tools like social media marketing but are struggling to measure their effectiveness, especially in comparing across different channels.
3) Defining and measuring marketing ROI remains a challenge, with 37% not including financial outcomes in their definition and 57% not basing budgets on ROI analysis. Significant
This document summarizes key findings from a study on data-driven decision making in IT enterprises. Some of the main findings include:
- CEOs may have been too optimistic about their company's performance compared to competitors prior to COVID-19 lockdowns. Middle management was more concerned about customer focus and adjusting to demands.
- More than 80% of tech employees believe they are better than competitors at delivering digital products, but customer service teams report less collaboration and data access than other departments.
- About a third of organizations have over 80% of their data centralized, but data accessibility, not centralization, is related to better decision making. Customer service teams often have less data access.
- C-
Competitive advantage through data management terry jabali v.01tjabali
The document summarizes a keynote presentation on data management and analytics by Terry Jabali. The presentation will take place at the Data Management Planning & Analysis Summit in San Francisco on August 15-16, 2011. The keynote will provide an overview of key trends and practices in data management, and use case discussions. Jabali will discuss topics such as the costs of bad data, benchmarks for common data issues, investments that provide competitive advantages, and the need for data governance and analytics frameworks to ensure high quality data and actionable insights.
- Analytics leaders have integrated analytics across their entire organizations and achieved substantial benefits like improved financial performance and faster decision making. They display characteristics like a data-driven culture and transparency in decision making.
- While most organizations recognize the need for better decision making, many lack formal, consistent processes. Nearly half report a lack of transparency in key decisions.
- Individuals and organizations are evolving to meet increasing demands for timely, data-driven decisions. People are enhancing their analytics skills and forging closer relationships with analytics professionals to leverage data insights.
This document summarizes an IBM executive report on using business analytics to gain competitive advantage. It discusses how analytics can help organizations understand customer behavior, risks, and regulations to inform strategic decision making. The report finds that while technology barriers to analytics are decreasing, organizational culture challenges remain, such as integrating data across departments and establishing a leadership mandate to make decisions based on facts. It recommends that organizations lay the foundation for fast responses, extract value by aligning objectives with integrated data, and use predictive analytics to detect opportunities. When applied to understanding customers, risks, and regulations, analytics can help optimize performance in today's complex environment.
While nearly 60% of executives expect big data to disrupt their industries, only 13% have full-scale big data initiatives and only 8% consider their initiatives very successful. Most organizations lack a well-defined roadmap with milestones and timelines for their initiatives, and 55% have scattered resources or a decentralized model. Additionally, 74% do not have well-defined criteria for selecting use-cases and 67% lack defined success metrics. In contrast, those organizations with a well-defined roadmap, criteria for selecting use-cases, and defined success metrics are tasting more success with their big data initiatives.
Match.com uses data analytics throughout its business to help connect people and foster relationships. Data scientists at Match.com continuously improve over 15 matching algorithms to better match users. This data-driven approach has helped Match.com grow its revenue over 50% in the past two years with over 1.8 million paid subscribers. Match.com's competitors take a more psychological approach, while Match.com believes a mathematical data-backed approach is more effective.
This document discusses potential areas where businesses can find ROI from big data investments, including speed to market, lower costs/increased profits, customer analysis, marketing trends, and social media platforms. It also addresses challenges in defining big data roles and metrics, and establishing goals and frameworks. Additionally, it provides timelines for big data projects and emphasizes the importance of ongoing metric analysis and an open mind to ensure returns are achieved.
Visual and wizard-driven paradigms for analytics can empower more business users to explore data and develop analytic workflows without extensive coding expertise. The webinar demonstrated how SAS solutions provide intuitive visual discovery of data, visual programming to develop analytic workflows through a drag-and-drop interface, and guided wizards for model development. These capabilities make analytics more accessible, help spread capabilities across organizations, and free quantitative experts to focus on more complex issues.
MIT report: How data analytics and machine learning reap competitive advantage.Nicolas Valenzuela
How Analytics and Machine Learning Help Organizations Reap Competitive Advantage
Produced MIT Technology Review, in Partnership with Google Analytics 360 Suite
The document discusses making data quality an operational way of life through rigorous governance and quality processes. It explains that operational data quality requires continuous validation of data accuracy, currency, and auditability. It also requires governance to ensure data relevance considering internal/external changes. The key aspects of operational data quality are repeatable validation workflows, tracking exceptions, using baselines to assess reasonability, and categorizing exceptions to address data quality issues.
Generations and Geography - White PaperMoxie Insight
Many of our most powerful and lasting beliefs are formed when we are teenagers, when we first shift our focus from tangible objects and begin to wrestle with the values and ideas in the world around us. What we see and hear—and the conclusions we draw—influence for our lifetimes what we value, how we measure success, whom we trust, and the priorities we set for our own lives, including the role work will play within it.
Geography significantly influences the formation of generational beliefs and behavior. Each country’s unique social, political, and economic events shape specific views and attitudes among today’s adults. Understanding these country-to-country differences is critical to creating employment deals that attract and retain the best employees in each geographic area. Western generational models cannot be applied broadly to a global workforce.
Understanding individuals’ backgrounds and resultant perspectives or mental models both within generations and across geographies helps leaders grapple with the diversity, challenges, and potential of a global workforce. Better understanding leads to greater empathy for the “other guy’s” point of view and, ultimately, provides the foundation for more effective and efficient talent management practices.
By Tammy Erickson & Tim Bevins
Gamers are predisposed to certain behaviors based on their experiences playing games. They are self-interested and focused on winning, have a need for speed in their activities, and demand engaging experiences. They are also willing to experiment and fail quickly in an iterative process to achieve mastery. These traits have implications for how managers can structure work and how marketers can engage gamers as customers.
Capitalizing on the Incredibly Shrinking Marcom Expense LineMoxie Insight
The document discusses how social media marketing strategies can be more effective by spending and talking less. It notes that most marketing budgets focus on traditional channels, but digital channels can provide savings. Examples are given of how companies like Starbucks, Wine Library, and Yelp have successfully used approaches like Twitter and Facebook to reach customers at low costs. The key is shifting from always trying to engage customers in conversations to using tools and platforms to provide value and shareable content.
The document discusses key trends in data management identified by global research. It finds organizations are increasingly focused on understanding customers as individuals to offer personalized service. However, inaccurate and incomplete data undermines customer experience for many. Experts recommend using data to develop a single view of each customer by linking all available information. This would allow real-time insights and responses tailored to individual customers, improving relationships and sales. Achieving accurate and comprehensive customer data remains a challenge for most organizations.
"Big data in western europe today" Forrester / Xerox 2015yann le gigan
The document summarizes the findings of a survey conducted by Forrester Consulting on behalf of Xerox regarding big data usage in Western Europe. The key findings are:
1) Senior decision-makers see big data as a top priority and have extensive plans to implement big data initiatives across a wide range of use cases in 2015.
2) Companies expect to see returns on their big data investments within 12 months and are using big data to improve efficiency and manage risk.
3) While big data offers opportunities, respondents acknowledge challenges such as ensuring data quality and integrating big data into decision-making.
Advanced Business Solutions surveyed over 300 UK-based Not-for-Profit (NFP) organisations – charities and membership organisations – to investigate how well they’re managing their membership data.
The results were surprising. According to the report, 96 per cent of NFPs are struggling to manage, decipher and capitalise on the terabytes of data they hold about their members and supporters.
Nearly all NFP organisations are struggling to effectively collect and analyse valuable data which, as a result, threatens to erode hard-won loyalty. It also reveals that 75 per cent of those surveyed don’t have the time, skills or funds to resolve these issues – threatening their long-term success.
We hope you find the report informative. If you want to talk more about how we could help you handle your data in a specialist CRM system please give us a call on 08448 155 640.
The survey of 395 C-level executives from various industries found:
1) Executives have overwhelmingly positive views of big data and its potential, especially for increasing sales, improving efficiency and building customer loyalty.
2) While recognizing big data's potential, three-quarters want a deeper understanding of the underlying technologies. Customer insights and targeting are currently seen as top priorities for big data applications.
3) Lack of understanding of how to apply big data to specific business functions is cited as the top internal obstacle to greater use of big data.
The document provides findings from a survey of 150 data leaders about leveraging big data at their companies. Key findings include:
- Nearly all respondents believe their company is headed in the right direction with big data due to investments in new talent, technologies, and alignment on usage. However, only about half say big data is extensively leveraged across all business units currently.
- Respondents face challenges like data silos, legacy storage systems, and a lack of standardized measurement for big data initiatives. Finding skilled analytics talent is also difficult.
- Resources needed for success vary but include better tools, centralized talent management, and more information on the business value of big data.
The New Creatives Report - Creative ProfessionalsAdobe
These are the findings from an Adobe-commissioned U.S. survey of more than 1,000 creative professionals and 500 students in creative disciplines. The study provides insights into the attitudes and beliefs of the creative vanguard – including graphic designers, illustrators, Web designers, photographers and video professionals – about the future of the creative industry.
See "The New Creatives Report June 2014 - Student Findings" for deeper details on what the students had to say about the future of the creative industry: http://slidesha.re/1nf3okd
The document summarizes key findings from a survey of 253 corporate marketing decision makers regarding their use of data, digital tools, and marketing ROI measurement. Some of the main findings include:
1) While 91% of marketers believe using customer data is important, many are not collecting the right types of data like mobile or social media data, or are not sharing data effectively across organizations.
2) Marketers have widely adopted new digital tools like social media marketing but are struggling to measure their effectiveness, especially in comparing across different channels.
3) Defining and measuring marketing ROI remains a challenge, with 37% not including financial outcomes in their definition and 57% not basing budgets on ROI analysis. Significant
This document summarizes key findings from a study on data-driven decision making in IT enterprises. Some of the main findings include:
- CEOs may have been too optimistic about their company's performance compared to competitors prior to COVID-19 lockdowns. Middle management was more concerned about customer focus and adjusting to demands.
- More than 80% of tech employees believe they are better than competitors at delivering digital products, but customer service teams report less collaboration and data access than other departments.
- About a third of organizations have over 80% of their data centralized, but data accessibility, not centralization, is related to better decision making. Customer service teams often have less data access.
- C-
Competitive advantage through data management terry jabali v.01tjabali
The document summarizes a keynote presentation on data management and analytics by Terry Jabali. The presentation will take place at the Data Management Planning & Analysis Summit in San Francisco on August 15-16, 2011. The keynote will provide an overview of key trends and practices in data management, and use case discussions. Jabali will discuss topics such as the costs of bad data, benchmarks for common data issues, investments that provide competitive advantages, and the need for data governance and analytics frameworks to ensure high quality data and actionable insights.
- Analytics leaders have integrated analytics across their entire organizations and achieved substantial benefits like improved financial performance and faster decision making. They display characteristics like a data-driven culture and transparency in decision making.
- While most organizations recognize the need for better decision making, many lack formal, consistent processes. Nearly half report a lack of transparency in key decisions.
- Individuals and organizations are evolving to meet increasing demands for timely, data-driven decisions. People are enhancing their analytics skills and forging closer relationships with analytics professionals to leverage data insights.
This document summarizes an IBM executive report on using business analytics to gain competitive advantage. It discusses how analytics can help organizations understand customer behavior, risks, and regulations to inform strategic decision making. The report finds that while technology barriers to analytics are decreasing, organizational culture challenges remain, such as integrating data across departments and establishing a leadership mandate to make decisions based on facts. It recommends that organizations lay the foundation for fast responses, extract value by aligning objectives with integrated data, and use predictive analytics to detect opportunities. When applied to understanding customers, risks, and regulations, analytics can help optimize performance in today's complex environment.
While nearly 60% of executives expect big data to disrupt their industries, only 13% have full-scale big data initiatives and only 8% consider their initiatives very successful. Most organizations lack a well-defined roadmap with milestones and timelines for their initiatives, and 55% have scattered resources or a decentralized model. Additionally, 74% do not have well-defined criteria for selecting use-cases and 67% lack defined success metrics. In contrast, those organizations with a well-defined roadmap, criteria for selecting use-cases, and defined success metrics are tasting more success with their big data initiatives.
Match.com uses data analytics throughout its business to help connect people and foster relationships. Data scientists at Match.com continuously improve over 15 matching algorithms to better match users. This data-driven approach has helped Match.com grow its revenue over 50% in the past two years with over 1.8 million paid subscribers. Match.com's competitors take a more psychological approach, while Match.com believes a mathematical data-backed approach is more effective.
This document discusses potential areas where businesses can find ROI from big data investments, including speed to market, lower costs/increased profits, customer analysis, marketing trends, and social media platforms. It also addresses challenges in defining big data roles and metrics, and establishing goals and frameworks. Additionally, it provides timelines for big data projects and emphasizes the importance of ongoing metric analysis and an open mind to ensure returns are achieved.
Visual and wizard-driven paradigms for analytics can empower more business users to explore data and develop analytic workflows without extensive coding expertise. The webinar demonstrated how SAS solutions provide intuitive visual discovery of data, visual programming to develop analytic workflows through a drag-and-drop interface, and guided wizards for model development. These capabilities make analytics more accessible, help spread capabilities across organizations, and free quantitative experts to focus on more complex issues.
MIT report: How data analytics and machine learning reap competitive advantage.Nicolas Valenzuela
How Analytics and Machine Learning Help Organizations Reap Competitive Advantage
Produced MIT Technology Review, in Partnership with Google Analytics 360 Suite
The document discusses making data quality an operational way of life through rigorous governance and quality processes. It explains that operational data quality requires continuous validation of data accuracy, currency, and auditability. It also requires governance to ensure data relevance considering internal/external changes. The key aspects of operational data quality are repeatable validation workflows, tracking exceptions, using baselines to assess reasonability, and categorizing exceptions to address data quality issues.
Generations and Geography - White PaperMoxie Insight
Many of our most powerful and lasting beliefs are formed when we are teenagers, when we first shift our focus from tangible objects and begin to wrestle with the values and ideas in the world around us. What we see and hear—and the conclusions we draw—influence for our lifetimes what we value, how we measure success, whom we trust, and the priorities we set for our own lives, including the role work will play within it.
Geography significantly influences the formation of generational beliefs and behavior. Each country’s unique social, political, and economic events shape specific views and attitudes among today’s adults. Understanding these country-to-country differences is critical to creating employment deals that attract and retain the best employees in each geographic area. Western generational models cannot be applied broadly to a global workforce.
Understanding individuals’ backgrounds and resultant perspectives or mental models both within generations and across geographies helps leaders grapple with the diversity, challenges, and potential of a global workforce. Better understanding leads to greater empathy for the “other guy’s” point of view and, ultimately, provides the foundation for more effective and efficient talent management practices.
By Tammy Erickson & Tim Bevins
Gamers are predisposed to certain behaviors based on their experiences playing games. They are self-interested and focused on winning, have a need for speed in their activities, and demand engaging experiences. They are also willing to experiment and fail quickly in an iterative process to achieve mastery. These traits have implications for how managers can structure work and how marketers can engage gamers as customers.
Capitalizing on the Incredibly Shrinking Marcom Expense LineMoxie Insight
The document discusses how social media marketing strategies can be more effective by spending and talking less. It notes that most marketing budgets focus on traditional channels, but digital channels can provide savings. Examples are given of how companies like Starbucks, Wine Library, and Yelp have successfully used approaches like Twitter and Facebook to reach customers at low costs. The key is shifting from always trying to engage customers in conversations to using tools and platforms to provide value and shareable content.
I delivered this shorter version of my Gov. Transformation Through Public Data presentation at the Personal Democracy Forum 2008 in June.
(watch in full screen mode to read the narration). While this version concentrates on government, IMHO the same tools are valid for corporations, with similar benefits, as part of an Enterprise 2.0 strategy.
The New Who and the myth of customer empowermentMoxie Insight
This presentation by Naumi Haque and Jeff DeChambeau explores how the enterprise needs to reevaluate its understanding of "who" its customers are to take into account today's data-rich consumer lifestyle.
This document contains copyright information for Moxie Software from 2010. It asserts the company's full rights over the content. However, the document does not provide any other significant details apart from the copyright notice.
Vanson Bourne Research Report: Big DataVanson Bourne
For most organisations, big data is now the reality of doing business. Technological and social innovations are resulting in huge flows of new data every day. As we enter this undeniable era of big data where more information will be captured in ever-finer detail from more sources than ever before does that mean our decision-making is bound to improve?
Analytic Transformation | 2013 Loras College Business Analytics SymposiumCartegraph
The document summarizes key points from a 2013 analytics symposium. It discusses trends in big data discovery, mobility, real-time decisions, and predictive analytics. Big data allows tapping diverse data sets to find unknown relationships and make data-driven decisions. It impacts many industries. Real-time data and decisions are important as over 80% of executives say critical information is delivered too late. Predictive analytics and visualization help add meaning to data. Mobility increases access and analytical collaboration anywhere.
Technology & search how to leverage apps and data (search university)Semetis
This document discusses leveraging apps and data from technology searches. It notes that 50% of CMOs report feeling underprepared for issues like the data explosion, growth of channels and devices, and shifting demographics. It presents data on areas causing concerns for marketers and highlights the need to build applications to make data human-readable and actionable. Examples are given of using search data to identify trending topics and monitor search performance. An app called Additionly+ is demonstrated for real-time Google Ads reporting. The document provides a how-to guide for making the most of web data by identifying key metrics, collecting the right data, building interfaces and analytics, and creating useful applications quickly.
Présentation Forrester - Forum MDM Micropole 2014Micropole Group
Présentation du Cabinet Forrester lors du 3eme Forum MDM Micropole le 19 novembre 2014 à Paris.
Forrester présente les tendances du marché du Master Data Management et de la gouvernance des données.
Data Modernization: Breaking the AI Vicious Cycle for Superior Decision-makingCognizant
The document discusses how most companies are not fully leveraging artificial intelligence (AI) and data for decision-making. It finds that only 20% of companies are "leaders" in using AI for decisions, while the remaining 80% are stuck in a "vicious cycle" of not understanding AI's potential, having low trust in AI, and limited adoption. Leaders use more sophisticated verification of AI decisions and a wider range of AI technologies beyond chatbots. The document provides recommendations for breaking the vicious cycle, including appointing AI champions, starting with specific high-impact decisions, and institutionalizing continuous learning about AI advances.
The Shifting State of Endpoint Risk: Key Strategies to Implement in 2012Lumension
Review this presentation as we reveal statistics from the 2012 State of the Endpoint survey, sponsored by Lumension® and conducted by Ponemon Institute. Find out about today's growing insecurity, IT's perceived areas of greatest risk for 2012, and the disconnect between risk and planned security strategies. In addition, we will examine the evolving IT risk environment and recommendations to more effectively and cost-efficiently secure your endpoints.
* How organizations are creating a perfect storm for hackers
* The Top 3 new threats to the workplace
* Perceived risks and corresponding strategies to combat today's evolving endpoint environment
Find out about our reliance on productivity tools, but how inadequate collaboration and resource restrictions for security are creating a perfect storm for hackers.
This document summarizes the results of a survey of 298 data management professionals about big data challenges and opportunities. It finds that big data is now present in all organizations, with 11% managing over a petabyte and another 20% having hundreds of terabytes. While bigger companies are dealing with more data currently, most companies will soon have petabyte-sized stores. However, the business does not fully understand big data's potential value yet. Capitalizing on big data does not require replacing existing infrastructure but integrating it. The survey also finds that relational databases and Hadoop are both important technologies for managing big data now and in the future.
We're moving into an era of big data, where more information is captured in ever-finer detail from
ever-more sources which means our decision-making is bound to improve. Doesn’t it? We interviewed 100 ITDMs from organisations with 1000 or more employees to find out.
Automated Trading Summit 2012, Amsterdam
Big Data impacts the way we think about managing, processing and analyzing marketing data. It is the foundational element for building Digital Marketing solutions such as Audience Optimization, Channel Optimization, Content Optimization and Yield Optimization.
Recent research and studies provides some fascinating insights into how
(a) CMO's view Big Data as their biggest areas of "under-preparedness",
(b) Organizations view Advanced Analytics as a competitive advantage and
(c) Digital Marketers view Big Data as an enabling platform for all their future initiatives
Lead Your Data Revolution - How to Build a Foundation of Trust and Data Gover...DATAVERSITY
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<p>Becoming a data-driven organization is something many companies aspire to, but few are able to obtain. Let’s face it: Data is confusing. It is complicated, dirty, and spread out all over a business. While companies are making big investments in Data Management projects, only a few are seeing the payoff. </p>
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<p>New research from Experian shows that despite many ongoing data initiatives, 69 percent of organizations struggle to be data-driven. The struggles are real. Companies face a large data debt, look at data projects through a siloed lens, and still have a large volume of inaccurate data. In fact, 65 percent report inaccurate data is undermining key initiatives. <br></p>
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<p>However, the tide is turning. Businesses are starting to adopt data enablement, or a practice of empowering a larger group of individuals within the business to understand and harness the power of data and analytics. Companies that empower wider data usage are better able to comply with regulations, improve decision-making, and, of course, deliver a superior customer experience. Are these the results you’re striving for? </p>
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<p>Join us to uncover new research from more than 500 Data Management practitioners as we take a deep dive into:</p>
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<ul><li>The top challenges in becoming a data-driven organization </li><li>Trends and the rise of data enablement </li><li>The profile of a mature organization </li><li>Tips for how you can adopt data enablement practices</li></ul>
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ESG Research Report Snapshot Big Data and Integrated Infrastructure Aug 2012equinn1952
1. Organizations view improving analytics capabilities as a top priority.
2. For many, "big data" means dealing with very large and diverse data sets from multiple sources.
3. There is strong interest in new analytics platforms to address the challenges of analyzing big data, though no clear leaders have yet emerged. Adoption of technologies like Hadoop is increasing.
Data Trends for 2019: Extracting Value from DataPrecisely
To get the most business value from data, you need to keep up with the latest tech trends – or do you?
View this webinar on-demand as we share the results from our 2019 Data Trends Survey! We'll reveal what organizations around the world are really up to at the intersection of technology, big data and business.
Key topics include:
• Business initiatives getting the most IT support in 2019
• Highest-priority IT initiatives
• Tech adoption rates, benefits and challenges
Marketing roi in the era of big data 2012Zenith España
The document summarizes findings from a 2012 study on marketing practices among large corporations. Some key findings include:
1) While 91% of marketers believe using customer data is important, many are not collecting the right types of data like mobile or social media data. Data is also often not collected frequently enough.
2) Marketers recognize the need to share data across organizations but 51% say lack of data sharing is a barrier to measuring marketing ROI.
3) New digital marketing tools like social media and mobile ads are widely used but often not tied to financial metrics. Comparing effectiveness across channels is also a major challenge.
4) Defining and measuring marketing ROI remains difficult as 37% of
MTBiz is for you if you are looking for contemporary information on business, economy and especially on banking industry of Bangladesh. You would also find periodical information on Global Economy and Commodity Markets.
Infographic | Quality of Data & Cost of Bad Data | Sapience AnalyticsSapience Analytics
As the quality of data becomes more and more crucial to the success of an organization, the cost of bad data goes staggeringly high.
Read this Infographic and understand the dependence of organizations on data in terms of:
Importance of data
Quality of data
Cost of bad data
Reasons for bad data quality