Paula Smith is a principal consultant for information management at Optimation. The document discusses how organizations can better leverage their existing information assets by implementing effective information management practices. It notes that unstructured information like documents, emails and social media accounts for 60-80% of organizational information but is often untapped. The document advocates for a holistic information management framework that includes governance, taxonomy, enterprise search, and content intelligence tools to unlock more value from information assets.
Enterprise Information Management: Strategy, Best Practices & Technologies on...FindWhitePapers
Authored by Frank Dravis, Baseline Consulting, this paper discusses: (1) EIM strategy development and (2) enabling information management technology. Understanding these two areas is crucial to starting, planning and executing an EIM initiative.
How Do You Improve Data Skills and Data Literacy in your Business?Bernard Marr
Data literacy should be a priority for every organization. Investing in data skills and data literacy is critical for all companies today. Most companies have a deficit in data skills that should be addressed as quickly as possible. There are several ways to improve data skills and data literacy in your business.
Slides: Taking an Active Approach to Data GovernanceDATAVERSITY
A Look at How Riot Games Implemented Non-Invasive Data Governance
Riot Games created and runs “League of Legends,” the world’s most-played PC game and most viewed eSport — and is now transforming to become a multi-title publisher. To keep pace with this transformation and support a growing player base of millions, Riot Games is taking a page from Bob Seiner’s book, “Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success” and leveraging the Alation Data Catalog to help guide accurate, well-governed analysis.
Bob Seiner will join Riot Games’ Chris Kudelka, Technical Product Manager, and Michael Leslie, Senior Data Governance Architect, and Alation’s John Wills, VP of Professional Service, for an inside look at Data Governance at one of the world’s leading gaming companies.
Join this webinar to learn:
• How Riot Games is implementing Non-Invasive Data Governance
• How this new approach to Data Governance helps to drive the business
• How the Alation Data Catalog helps Riot Games create the foundation for guiding accurate, well-governed data use
Enterprise Information Management Strategy - a proven approachSam Thomsett
Access a proven approach to Enterprise Information Management Strategy - providing a framework for Digital Transformation - by a leader in Information Management Consulting - Entity Group
Enterprise Information Management: Strategy, Best Practices & Technologies on...FindWhitePapers
Authored by Frank Dravis, Baseline Consulting, this paper discusses: (1) EIM strategy development and (2) enabling information management technology. Understanding these two areas is crucial to starting, planning and executing an EIM initiative.
How Do You Improve Data Skills and Data Literacy in your Business?Bernard Marr
Data literacy should be a priority for every organization. Investing in data skills and data literacy is critical for all companies today. Most companies have a deficit in data skills that should be addressed as quickly as possible. There are several ways to improve data skills and data literacy in your business.
Slides: Taking an Active Approach to Data GovernanceDATAVERSITY
A Look at How Riot Games Implemented Non-Invasive Data Governance
Riot Games created and runs “League of Legends,” the world’s most-played PC game and most viewed eSport — and is now transforming to become a multi-title publisher. To keep pace with this transformation and support a growing player base of millions, Riot Games is taking a page from Bob Seiner’s book, “Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success” and leveraging the Alation Data Catalog to help guide accurate, well-governed analysis.
Bob Seiner will join Riot Games’ Chris Kudelka, Technical Product Manager, and Michael Leslie, Senior Data Governance Architect, and Alation’s John Wills, VP of Professional Service, for an inside look at Data Governance at one of the world’s leading gaming companies.
Join this webinar to learn:
• How Riot Games is implementing Non-Invasive Data Governance
• How this new approach to Data Governance helps to drive the business
• How the Alation Data Catalog helps Riot Games create the foundation for guiding accurate, well-governed data use
Enterprise Information Management Strategy - a proven approachSam Thomsett
Access a proven approach to Enterprise Information Management Strategy - providing a framework for Digital Transformation - by a leader in Information Management Consulting - Entity Group
Data Literacy and Data Virtualization: A Step-by-step Guide to Bolstering You...Denodo
Watch full webinar here: https://bit.ly/2KLc1dE
An organization’s effectiveness can only be as good as the understanding of their data. Hence it is important for both the frontline workers as well as the managers to be data literate, so that they can they understand how the business is functioning, decide if any changes need to be made, and quickly make decisions to realize better outcomes. However, successful data literacy requires stringent processes and an effective tool to operationalize them.
Listen to the our replay on the 10-steps to building a data-literate organization, and how data virtualization can help implement the underpinning processes.
Sense Corp and Denodo have partnered to combine state-of-the art professional services with the industry’s most advanced data virtualization platform to streamline data access in support of the most critical business needs.
Watch the replay to learn:
- The 10-steps to data literacy; what you can do to become a high performer.
- How to use data virtualization as the foundation to implementing data literacy processes.
- Examples of companies that have achieved high levels of data literacy.
Download the Sense Corp 10 Steps to Data Literacy eBook to learn more.
Slides: Applying Artificial Intelligence (AI) in All the Right Places in the ...DATAVERSITY
Data and Analytics are fundamental to digital transformation, yet many companies are still under-utilizing them. To go full throttle, AI and automation technologies can be added across the full spectrum of your data journey to truly re-imagine processes and business models.
Join Information Builders for this webinar on how AI:
• Augments your traditional business intelligence and analytics systems
• Minimizes manual inefficiencies with the way data is generated, collected, cleansed, and organized
• Helps you realize substantial performance gains with use cases such as churn forecasting, predictive maintenance, supply chain planning, risk mitigation, and more
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace: digital transformation, marketing, customer centricity, and more. This webinar will help de-mystify Data Strategy and Data Architecture and will provide concrete, practical ways to get started.
Data Governance Roles as the Backbone of Your ProgramDATAVERSITY
The method you follow to form your Data Governance roles and responsibilities will impact the success of your program. There are industry-standard roles that require adjustment to fit the culture of your organization when getting started, gaining acceptance, and demonstrating sustained value. Roles are the backbone of a productive Data Governance program.
Bob Seiner will share his updated operating model of roles and responsibilities in this topical RWDG webinar. The model Bob uses is meant to overlay your present organizational structure rather than requiring you to try and plug your organization into someone else’s model. This webinar will provide everything you need to know about Data Governance roles.
Bob will address the following in this webinar:
• An operating model of Data Governance roles and responsibilities
• How to customize the model to mimic your existing structure
• The meaning behind the oft-used “roles pyramid”
• Detailed responsibilities at each level of the organization
• Using the model to influence Data Governance acceptance
DataEd Slides: Getting Started with Data StewardshipDATAVERSITY
In order to find value in your organization’s data assets, heroic Data Stewards are tasked with saving the day—every single day! These heroes adhere to a Data Governance framework, and work to ensure that data is captured right the first time, validated through automated means, and integrated into business processes. Whether it’s data profiling or in-depth root cause analysis, Data Stewards can be counted on to ensure the organization’s mission-critical data is reliable. In this webinar, we will approach this framework and punctuate important facets of a Data Steward’s role.
Lead Your Data Revolution - How to Build a Foundation of Trust and Data Gover...DATAVERSITY
<!-- wp:paragraph -->
<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>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<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>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<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>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>Join us to uncover new research from more than 500 Data Management practitioners as we take a deep dive into:</p>
<!-- /wp:paragraph -->
<!-- wp:list -->
<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>
<!-- /wp:list -->
In many organizations and functional areas, data has pulled even with money in terms of what makes the proverbial world go round. As businesses struggle to cope with the 21st century’s newfound data flood, it is more important than ever before to prioritize data as an asset that directly supports business imperatives. However, while organizations across most industries make some attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. Data Quality), the results of these efforts frequently fall far below expectations. At the root of many of these failures is poor organizational Data Management—which fortunately is a remediable problem.
This webinar will cover three lessons, each illustrated with examples, that will help you establish realistic goals and benchmarks for Data Management processes and communicate their value to both internal and external decision-makers:
How organizational thinking must change to include value-added Data Management practices
The importance of walking before you run with data-focused initiatives
Prioritizing specification and Data Governance over “silver bullet” analytical tools
Discuss foundational data-centric concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK)
Master Data Management - Aligning Data, Process, and GovernanceDATAVERSITY
Master Data Management (MDM) can provide significant value to the organization in creating consistent key data assets such as Customer, Product, Supplier, Patient, and the list goes on. But getting MDM “right” requires a strategic mix of Data Architecture, business process, and Data Governance. Join this webinar to learn how to find the “sweet spot” between technology, design, process, and people for your MDM initiative.
It’s been three years since the General Data Protection Regulation shook up how organizations manage data security and privacy, ushering in a new focus on Data Governance. But what is the state of Data Governance today?
How has it evolved? What’s its role now? Building on prior research, erwin by Quest and ESG have partnered on a new study about what’s driving the practice of Data Governance, program maturity and current challenges. It also examines the connections to data operations and data protection, which is interesting given the fact that improving data security is now the No. 1 driver of Data Governance, according to this year’s survey respondents.
So please join us for this webinar to learn about the:
Other primary drivers for enterprise Data Governance programs
Most common bottlenecks to program maturity and sustainability
Advantages of aligning Data Governance with the other data disciplines
In a post-COVID world, data has the power to be even more transformative, and 84% of business and technology professionals say it represents the best opportunity to develop a competitive advantage during the next 12 to 24 months. Let’s make sure your organization has the intelligence it needs about both data and data systems to empower stakeholders in the front and back office to do what they need to do.
Join us as we launch our 2015 webinar series, ‘Metadata Matters’, with Martin Garland, President of Concept Searching, and expert guest speaker Doug Miles, Director of Market Intelligence at AIIM, as they explore the state of the market for unstructured content. Find out what your peers are doing, what’s on the horizon, and how other organizations are tackling and solving many of the same metadata challenges that you face.
Unstructured data is both a liability and an opportunity. With the uncontrollable rate of unstructured content growth, organizations are beginning to realize that the time has come to proactively manage content from inception to disposal. The real problem that disruptively impacts the management of unstructured data is metadata. This informative webinar will discuss the factors that prevent and enable organizations to leverage metadata to improve the bottom line.
Topics to be discussed include:
• Are organizations living with or fixing the problem of metadata, and what is Business Critical Metadata?
• What are the biggest challenges your peers are facing in applications such as enterprise search, records management, security, migration, content management, collaboration, social tagging, and text analytics?
• Has the cloud become a debilitating factor when managing metadata?
• How is Microsoft changing the role of SharePoint, and what’s the impact of Office 365, OneDrive for Business, and Delve in managing content as an integrated enterprise asset?
• What are sound strategies that successful organizations use?
• Why adding structure and application functionality with metadata assists in identifying and achieving business value
• When evaluating vendors and tools, what are some of the questions you should ask?
• Hear case studies on how organizations have solved their challenges from an enterprise and a departmental level
Infochimps Survey: What IT Teams Want CIOs to Know About Big Data - Learn the top items that IT team members would like their CIOs to understand concerning their Big Data projects.
The report - CIOs & Big Data: What Your IT Team Wants You to Know - is based on a survey of more than 300 IT department employees, 58% of whom are currently engaged in Big Data projects, and aims to identify pitfalls that implementation teams encounter, and could avoid, if top management had a more complete view.
Data-Ed Webinar: Data Governance StrategiesDATAVERSITY
Much like project team management and home improvement, Data Governance sounds a lot simpler than it actually is. In a nutshell, Data Governance is the process by which an organization delegates responsibility and exercises control over mission-critical data assets. In practice, though, Data Governance directs how all other Data Management functions are performed, meaning that much of your Data Management strategy’s capacity to function at all depends on your effectiveness in governing its implementation. Understanding these aspects of governance is necessary to eliminate the ambiguity that often surrounds effective Data Management and stewardship programs, since the goal of governance is to manage the data that supports organizational strategy.
This webinar will:
Illustrate what Data Governance functions are required for effective Data Management, how they fit with other Data Management disciplines, and why Data Governance can be tricky for many organizations
Help you develop a detailed vocabulary and set of narratives to facilitate understanding of your business objectives and imperatives that demand governance
Provide direction for selling Data Governance to organizational management as a specifically motivated initiative
Discuss foundational Data Governance concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK)
Metadata is hotter than ever, according to a number of recent DATAVERSITY surveys. More and more organizations are realizing that in order to drive business value from data, robust metadata is needed to gain the necessary context and lineage around key data assets. At the same time, industry regulations are driving the need for better transparency and understanding of information.
While metadata has been managed for decades, new strategies & approaches have been developed to support the ever-evolving data landscape, and provide more innovative ways to drive business value from metadata. This webinar will provide an overview of metadata strategies & technologies available to today’s organization, and provide insights into building successful business strategies for metadata adoption & use.
Increasing Your Business Data & Analytics MaturityMario Faria
Slides of the webinar presented July 10th. The audio can be accessed at : http://www.dataversity.net/webinar-increasing-business-data-analytics-maturity-2/
Data Literacy and Data Virtualization: A Step-by-step Guide to Bolstering You...Denodo
Watch full webinar here: https://bit.ly/2KLc1dE
An organization’s effectiveness can only be as good as the understanding of their data. Hence it is important for both the frontline workers as well as the managers to be data literate, so that they can they understand how the business is functioning, decide if any changes need to be made, and quickly make decisions to realize better outcomes. However, successful data literacy requires stringent processes and an effective tool to operationalize them.
Listen to the our replay on the 10-steps to building a data-literate organization, and how data virtualization can help implement the underpinning processes.
Sense Corp and Denodo have partnered to combine state-of-the art professional services with the industry’s most advanced data virtualization platform to streamline data access in support of the most critical business needs.
Watch the replay to learn:
- The 10-steps to data literacy; what you can do to become a high performer.
- How to use data virtualization as the foundation to implementing data literacy processes.
- Examples of companies that have achieved high levels of data literacy.
Download the Sense Corp 10 Steps to Data Literacy eBook to learn more.
Slides: Applying Artificial Intelligence (AI) in All the Right Places in the ...DATAVERSITY
Data and Analytics are fundamental to digital transformation, yet many companies are still under-utilizing them. To go full throttle, AI and automation technologies can be added across the full spectrum of your data journey to truly re-imagine processes and business models.
Join Information Builders for this webinar on how AI:
• Augments your traditional business intelligence and analytics systems
• Minimizes manual inefficiencies with the way data is generated, collected, cleansed, and organized
• Helps you realize substantial performance gains with use cases such as churn forecasting, predictive maintenance, supply chain planning, risk mitigation, and more
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace: digital transformation, marketing, customer centricity, and more. This webinar will help de-mystify Data Strategy and Data Architecture and will provide concrete, practical ways to get started.
Data Governance Roles as the Backbone of Your ProgramDATAVERSITY
The method you follow to form your Data Governance roles and responsibilities will impact the success of your program. There are industry-standard roles that require adjustment to fit the culture of your organization when getting started, gaining acceptance, and demonstrating sustained value. Roles are the backbone of a productive Data Governance program.
Bob Seiner will share his updated operating model of roles and responsibilities in this topical RWDG webinar. The model Bob uses is meant to overlay your present organizational structure rather than requiring you to try and plug your organization into someone else’s model. This webinar will provide everything you need to know about Data Governance roles.
Bob will address the following in this webinar:
• An operating model of Data Governance roles and responsibilities
• How to customize the model to mimic your existing structure
• The meaning behind the oft-used “roles pyramid”
• Detailed responsibilities at each level of the organization
• Using the model to influence Data Governance acceptance
DataEd Slides: Getting Started with Data StewardshipDATAVERSITY
In order to find value in your organization’s data assets, heroic Data Stewards are tasked with saving the day—every single day! These heroes adhere to a Data Governance framework, and work to ensure that data is captured right the first time, validated through automated means, and integrated into business processes. Whether it’s data profiling or in-depth root cause analysis, Data Stewards can be counted on to ensure the organization’s mission-critical data is reliable. In this webinar, we will approach this framework and punctuate important facets of a Data Steward’s role.
Lead Your Data Revolution - How to Build a Foundation of Trust and Data Gover...DATAVERSITY
<!-- wp:paragraph -->
<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>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<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>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<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>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>Join us to uncover new research from more than 500 Data Management practitioners as we take a deep dive into:</p>
<!-- /wp:paragraph -->
<!-- wp:list -->
<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>
<!-- /wp:list -->
In many organizations and functional areas, data has pulled even with money in terms of what makes the proverbial world go round. As businesses struggle to cope with the 21st century’s newfound data flood, it is more important than ever before to prioritize data as an asset that directly supports business imperatives. However, while organizations across most industries make some attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. Data Quality), the results of these efforts frequently fall far below expectations. At the root of many of these failures is poor organizational Data Management—which fortunately is a remediable problem.
This webinar will cover three lessons, each illustrated with examples, that will help you establish realistic goals and benchmarks for Data Management processes and communicate their value to both internal and external decision-makers:
How organizational thinking must change to include value-added Data Management practices
The importance of walking before you run with data-focused initiatives
Prioritizing specification and Data Governance over “silver bullet” analytical tools
Discuss foundational data-centric concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK)
Master Data Management - Aligning Data, Process, and GovernanceDATAVERSITY
Master Data Management (MDM) can provide significant value to the organization in creating consistent key data assets such as Customer, Product, Supplier, Patient, and the list goes on. But getting MDM “right” requires a strategic mix of Data Architecture, business process, and Data Governance. Join this webinar to learn how to find the “sweet spot” between technology, design, process, and people for your MDM initiative.
It’s been three years since the General Data Protection Regulation shook up how organizations manage data security and privacy, ushering in a new focus on Data Governance. But what is the state of Data Governance today?
How has it evolved? What’s its role now? Building on prior research, erwin by Quest and ESG have partnered on a new study about what’s driving the practice of Data Governance, program maturity and current challenges. It also examines the connections to data operations and data protection, which is interesting given the fact that improving data security is now the No. 1 driver of Data Governance, according to this year’s survey respondents.
So please join us for this webinar to learn about the:
Other primary drivers for enterprise Data Governance programs
Most common bottlenecks to program maturity and sustainability
Advantages of aligning Data Governance with the other data disciplines
In a post-COVID world, data has the power to be even more transformative, and 84% of business and technology professionals say it represents the best opportunity to develop a competitive advantage during the next 12 to 24 months. Let’s make sure your organization has the intelligence it needs about both data and data systems to empower stakeholders in the front and back office to do what they need to do.
Join us as we launch our 2015 webinar series, ‘Metadata Matters’, with Martin Garland, President of Concept Searching, and expert guest speaker Doug Miles, Director of Market Intelligence at AIIM, as they explore the state of the market for unstructured content. Find out what your peers are doing, what’s on the horizon, and how other organizations are tackling and solving many of the same metadata challenges that you face.
Unstructured data is both a liability and an opportunity. With the uncontrollable rate of unstructured content growth, organizations are beginning to realize that the time has come to proactively manage content from inception to disposal. The real problem that disruptively impacts the management of unstructured data is metadata. This informative webinar will discuss the factors that prevent and enable organizations to leverage metadata to improve the bottom line.
Topics to be discussed include:
• Are organizations living with or fixing the problem of metadata, and what is Business Critical Metadata?
• What are the biggest challenges your peers are facing in applications such as enterprise search, records management, security, migration, content management, collaboration, social tagging, and text analytics?
• Has the cloud become a debilitating factor when managing metadata?
• How is Microsoft changing the role of SharePoint, and what’s the impact of Office 365, OneDrive for Business, and Delve in managing content as an integrated enterprise asset?
• What are sound strategies that successful organizations use?
• Why adding structure and application functionality with metadata assists in identifying and achieving business value
• When evaluating vendors and tools, what are some of the questions you should ask?
• Hear case studies on how organizations have solved their challenges from an enterprise and a departmental level
Infochimps Survey: What IT Teams Want CIOs to Know About Big Data - Learn the top items that IT team members would like their CIOs to understand concerning their Big Data projects.
The report - CIOs & Big Data: What Your IT Team Wants You to Know - is based on a survey of more than 300 IT department employees, 58% of whom are currently engaged in Big Data projects, and aims to identify pitfalls that implementation teams encounter, and could avoid, if top management had a more complete view.
Data-Ed Webinar: Data Governance StrategiesDATAVERSITY
Much like project team management and home improvement, Data Governance sounds a lot simpler than it actually is. In a nutshell, Data Governance is the process by which an organization delegates responsibility and exercises control over mission-critical data assets. In practice, though, Data Governance directs how all other Data Management functions are performed, meaning that much of your Data Management strategy’s capacity to function at all depends on your effectiveness in governing its implementation. Understanding these aspects of governance is necessary to eliminate the ambiguity that often surrounds effective Data Management and stewardship programs, since the goal of governance is to manage the data that supports organizational strategy.
This webinar will:
Illustrate what Data Governance functions are required for effective Data Management, how they fit with other Data Management disciplines, and why Data Governance can be tricky for many organizations
Help you develop a detailed vocabulary and set of narratives to facilitate understanding of your business objectives and imperatives that demand governance
Provide direction for selling Data Governance to organizational management as a specifically motivated initiative
Discuss foundational Data Governance concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK)
Metadata is hotter than ever, according to a number of recent DATAVERSITY surveys. More and more organizations are realizing that in order to drive business value from data, robust metadata is needed to gain the necessary context and lineage around key data assets. At the same time, industry regulations are driving the need for better transparency and understanding of information.
While metadata has been managed for decades, new strategies & approaches have been developed to support the ever-evolving data landscape, and provide more innovative ways to drive business value from metadata. This webinar will provide an overview of metadata strategies & technologies available to today’s organization, and provide insights into building successful business strategies for metadata adoption & use.
Increasing Your Business Data & Analytics MaturityMario Faria
Slides of the webinar presented July 10th. The audio can be accessed at : http://www.dataversity.net/webinar-increasing-business-data-analytics-maturity-2/
The information management arena is one that is much more process and value driven than it has ever been. Where information needs to be automated, integrated, valued, available, usable, useful and valuable to an organisation. But as we now live in a world of increasing complexity, volume and variety of information, do we have the right skills, competency and capability to execute on our digital strategy?
This whitepaper aims to assist Chief Data Officers in promoting a data-driven culture at their
organization, helping them lead the enterprise on a digital transformation journey backed by
analytical insights.
White Paper: The Business Case for IT Governance in the Age of Digital Transf...SDI Presence LLC
Why is strong #ITGovernance a strategic mandate in light of business’ use of evolving digital technologies throughout their organization?
SDI Presence assesses the management challenges of legacy and emerging IT throughout an organization and effective processes establishing for #ITGovernance framework in the first of our new “Building Smarter Organizations” white paper series: “The Business Case for an IT Governance in the Age of Digital Transformation”
189
C H A P T E R 10
Information
Governance and
Information Technology
Functions
Information technology (IT) is a core function impacted by information gover-ynance (IG) efforts. IT departments typically have been charged with keeping the “plumbing” of IT intact—the network, servers, applications, and data—but although
the output of IT is in their custody, they have not been held to account for it; that
is, the information, reports, and databases they generate have long been held to be
owned by users in business units. This has left a gap of responsibility for governing
the information that is being generated and managing it in accordance with legal and
regulatory requirements, standards, and best practices.
Certainly, on the IT side, shared responsibility for IG means the IT department
itself must take a closer look at IT processes and activities with an eye to IG. A
focus on improving IT effi ciency, software development processes, and data quality
will help contribute to the overall IG program effort. IT is an integral piece of the
program.
Debra Logan, vice president and distinguished analyst at Gartner, states:
Information governance is the only way to comply with regulations, both cur-
rent and future, and responsibility for it lies with the CIO and the chief legal
offi cer. When organizations suffer high-profi le data losses, especially involv-
ing violations of the privacy of citizens or consumers, they suffer serious repu-
tational damage and often incur fi nes or other sanctions. IT leaders will have
to take at least part of the blame for these incidents. 1
Gartner predicts that the need to implement IG is so critical that, by 2016, fully
one in fi ve chief information offi cers (CIOs) will be terminated for their inability to
implement IG successfully.
Aaron Zornes, chief research offi cer at the MDM (Master Data Management)
Institute, stated: “While most organizations’ information governance efforts have fo-
cused on IT metrics and mechanics such as duplicate merge/purge rates, they tend to
ignore the industry- and business-metrics orientation that is required to ensure the
economic success of their programs.” 2
190 INFORMATION GOVERNANCE
Four IG best practices in this area can help CIOs and IT leaders to be successful
in delivering business value as a result of IG efforts:
1. Don’t focus on technology, focus on business impact
Technology often enthralls those in IT—to the point of obfuscating the
reason that technologies are leveraged in the fi rst place: to deliver business
benefi t. So IT needs to reorient its language, its vernacular, its very focus
when implementing IG programs. IT needs to become more business savvy,
more businesslike, more focused on delivering business benefi ts that can help
the organization to meet its business goals and achieve its business objectives.
“Business leaders want t.
This takes a look at the architectural constructs that are used for building business intelligence systems and how they are used in business processes to improve marketing, better serve customers, and maximize organizational efficiency.
Background: As a result of enormous progress in the information technology and communications, several
organizations adopt business intelligence (BI) applications in order to cope with the development in
business mechanisms, staying at the marketplace, competition, customer possession and retention.
The rapid growing capabilities of both generating and gathering data has created an imperative
necessity for new techniques and tools can intelligently and automatically transform the processed data in
to a valuable information and knowledge. Knowledge management is a cornerstone in selecting accurate
information at the appropriate time from many relevant resources.
Objective: The major Objective of this research is to "examine the impact of business intelligence on
employee's knowledge sharing at the Jordanian telecommunications company (JTC)".
Design/methodology/approach: A review of the literature serves as the basis for measuring the impact of
business intelligence using knowledge sharing scale. The study sample consisted of administrators,
technical staff, and senior managers.75 questionnaires were distributed in the site of JTC. (70)
Questionnaires were collected. (63) Found statistically usable for this study representing a response rate
of (84 %).
Findings: Most important findings for this study demonstrate that business intelligence tools respectively
(OLAP, Data Warehousing, and Data Mining)are highly effect on employee knowledge sharing.
Originality/ Value: Business Intelligence play a significant role in obtaining the underlying knowledge in
the organization, through optimum utilization of data sources the internal and external alike. Several
researches addressed the importance of integrating business intelligence with knowledge management,
little of these researches addressing the impact of business intelligence on knowledge sharing. This study
has tried to address this need.
Business Intelligence is more than a fad. But to embrace it requires a significant commitment.
Every competitive business recognizes the power in knowledge. The definition of “knowledge” is both subjective and obscure. All too often, a business is unable to succinctly express what information it wants and what it will do with this information. Many earnest efforts are made to develop effective data reporting resources. The most common mistakes are costly, time consuming and wasteful.
Tomorrow’s industry leaders are the ones that draw new insights by creatively combining the data they have today. That can be a real challenge for most companies, especially since data types and volumes have grown astronomically over the last decade. And when you pair that with the tasks of gathering, organizing, and managing information from all over an organization and ensuring its accuracy, you have quite a job on your hands. But with our comprehensive portfolio of enterprise information management solutions, your business can unlock the power of its data, achieve entirely new insights, and use them to create a winning future.
We conducted a groundbreaking survey of the UK’s data and business professionals to get a snapshot of the state of the world of data, uncover some of the issues facing the industry and get a sense of the changes on the horizon. The results were enlightening, and in some cases, very surprising.
Find out:
Why nearly a third of IT Directors feel their organisation uses data poorly
What the hybrid data manager of the future will look like
Why understanding customer behaviour remains the holy grail for so many
We conducted a ground-breaking survey of the UK’s data and business professionals to get a snapshot of the state of the world of data, uncover some of the issues facing the industry and get a sense of the changes on the horizon. The results were enlightening, and in some cases, very surprising.
We conducted a survey of the UK's data and business professionals to get a snapshot of the state of the world of data, uncover some of the issues facing the industry and get a sense of the changes on the horizon. The results were enlightening, and in some cases, very surprising.
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1. PAULA SMITH, PRINCIPAL CONSULTANT – INFORMATION MANAGEMENT, OPTIMATION
White Paper
Information Management
In a post GFC world, executives around the boardroom table are desperately looking for ways
to increase productivity, efficiency and carve out a competitive edge, in an environment
where costs must be managed and every ounce of value identified and leveraged. By
leveraging the value that exists in existing information assets, organisations can generate real
and achievable gains in revenue generation, IT investments and productivity gains.
FINDING A NEEDLE IN A HAYSTACK
WHITE PAPER
So what is information management?
For us Information Management (IM) is a discipline that involves the creation, capture, consumption, and
management of an organisation’s unstructured content in physical, digital and hybrid forms. As a discipline we
investigate the business process, people & culture, technology and capability elements to ensure an optimum IM
state to meet or exceed business objectives.
IM shares close links with Data Management, a well-managed IM environment has benefits for Data
Management programmes as we will discuss later. Ultimately though, information management deals with
unstructured information in its various forms; office documents, web content, wikis, emails, blogs, twitter feeds
etc; data management focuses on structured
information from largely transactional systems and
databases, to derive analysis and insight from data.
Various industry sources will estimate that
unstructured information represents anywhere
between 60% and 80% of an organisation. But the
volumes of data we are capturing are also increasing;
here is our modern information management
dilemma – one of volume and
variety. Organisations create and capture vast quantities of information; and at significant cost
(anecdotal evidence suggests that this is the most expensive part of the lifecycle). So why create
something that serves no purpose that adds no value? The reality is that we don’t – but having
invested in an asset; information – we don’t manage it well, don’t leverage it to its full potential
and so our return is reduced.
Create
Capture
Consume
Distribute
Maintain
Manage
Content
GOVERNANCE
2. Valuable information assets remain hidden in legacy applications and repositories, unknown, untagged and
unmanaged, unable to be quickly retrieved when needed. In such circumstances
how can you even know what gems you have lying around the organisation, and how do you share those assets
easily, and in a timely way that adds value to customers, business processes and staff – reducing rework, corporate
risk and increasing productivity.
I firmly believe that the answer to this issue is having a unified approach to capturing, and describing the information
assets we rely on, a common vocabulary or tags that can usefully be relied on by parties across the organisation
and external to it, fulfilling a variety of needs. Saving our customers (internal or external) the estimated 20% of time
wasted in searching and often failing to find the relevant information needed in a haystack full of potential results.
With effective capture and description processes in place, everything that comes after is much easier to manage; be
that collaboration and publishing processes, e-discovery processes, records management and retention processes,
publishing processes etc.
By leveraging the information assets we have taken the time and resource to acquire, we can also ensure the right
investment decisions are made as IBM’s research illustrated. IBM’s research (IBM Strategy & Change, Survey of Fortune
1000 CIO’s) highlighted that organisations reported 40% of total IT spending brought no return to their organisation.
This waste or“value leakage”is attributed largely to up-front strategic activities of aligning initiatives with business
priorities, not due to“runaway projects”. One of the key findings of this report was that so called“structural issues”
such as underutilised shared assets, of which information would be one, represented 32% of that waste.
Would organisations be happy with 40% wastage in financial assets, 40% lost production in a manufacturing
scenario, 40% wastage in machinery, building or fleet stock? I think not, the sooner we think of information as a real
asset – the sooner we will see a return. But where are the returns?
A financial services organisation invested in Information Management and achieved an efficiency saving of
60,000 hours per year for investment bankers by slashing response times from 3 hours to minutes. A public sector
organisation saved $1million from overpayment of expired contracts, simply by making them more“findable”and
accessible. Another organisation was able to sell a city centre building through ready access to information, process
improvements and redeployment of staff to field based roles with a corresponding increase in customer satisfaction
and staff retention.
Finding reliable and accurate information is difficult enough now, but given IDC’s prediction that information
holdings will increase 50 fold between 2010 and 2020 is accurate, that task will get even harder as more and
more information sources are created or used. And if MindMetre’s 2012 Research is any indication – unless we do
something soon, the 52% of senior managers who are currently dissatisfied with their ability to find information on
their corporate systems will increase. So where do you start?
The first step is ensuring that we are collecting the right information at the right time in our existing business
processes. Information management cannot be divested from the business process in which it is captured and
used. A key element of a successful organisation’s toolbox is a holistic information management
framework where information is seen as an asset, its creation and use is planned, that business
3. processes are optimally designed and appropriately integrated with the information repositories and perhaps
most importantly an effective search, use and distribution framework is also in place.
How many haystacks do you have?
Technology will continue to play a pivotal role in our digital information management world, where‘findability’
remains a key requirement. It is often through successful ’findability’that the success of our IM framework is
judged by internal and external customers and stakeholders. If information cannot be found, it can’t be used; the
asset can’t be leveraged and we lose real opportunities for improvements and growth.
Gartner analysts believe that “Significantinnovationcontinuesinthefieldof
informationmanagement(IM)technologiesandpracticesdrivenbythevolume,
velocityandvarietyofinformation,andthehugeamountofvalue—andpotential
liability—lockedinsideallthisungovernedandunderusedinformation.”
While Gartner was really talking about big data here, the underlying requirements of a well-managed information
management environment still apply. Aberdeen Group’s Content Management Research recently reported
that across all industries 51% of business data was considered unstructured and concern over this valuable asset
has more than doubled in the last year with 46% of organisations reporting significant business pressure in an
inability to use unstructured data. “The first step in making unstructured data accessible and usable is providing a
standard platform for storage and classification”Aberdeen Group 2013.
Significant advances are being made in this space, over the last 20 years we have seen the rise of a number
of technological“solutions”to our findability and accessibility challenges. Electronic Document Management
Systems, Case Management, Contracts Management, Resource Management, HR Management Systems,
Financial Management Systems, Logistics Systems,Web content management systems, E-mail management
systems,‘social workplace’solutions and so the list goes on.
However, these solutions are not always well adopted, investment rarely realises the return and benefits expected
as the day to day needs of quick and easy retrieval are lost. Organisations still suffer with a lack of common terms,
descriptions, structures and corresponding lack of visibility across the vast information holdings in an organisation.
Poor search and retrieval experience is regularly cited in the top 3 reasons for poor user adoption of ECM systems.
This is supported by the 2013 Enterprise Search and Findability Survey, where 65% of survey respondents stated
that the biggest obstacle to finding the right information was that we“don’t know where to look”. In defence of
users everywhere the question must be asked; why should they need to know where to look?. In an environment
where every minute matters to the bottom line, why would we ask staff to waste time trying to work out:
• Where the information is likely to be stored
• What its likely to be called
• Who may have created it
• How could it be described (tags)
4. Enterprise Search – the answer?
To a certain extent, yes. If staff don’t have to waste time searching and not finding their results, they could be
employed in front line activities. Delivering services that help us achieve our business goals, increase revenue,
client satisfaction and retention etc. Wasted time is unproductive time, and an opportunity lost. Given that
industry estimates we lose 20% of our time trying and failing to find information…imagine the possibilities if that
time was better channelled into service delivery or revenue generation activities.
The rise of Enterprise Search tools is built around the need for timely, accurate and consistently reliable access to
key information assets. Organisations have an ecosystem of technology solutions all delivering specific outcomes
and each one, typically with its own independent search engine. Based on the familiar search experience of
google.co.nz, the Google Search Appliance (GSA) is an integrated hardware and software appliance that delivers a
scalable solution to an organisation’s search and retrieval issues.
The Google Search Appliance dominates the marketplace providing ready access to information assets held in
a myriad of business applications, formats, and of an ever increasing scale and size that today’s modern business
struggles to maintain, and to make use of.
Haroon Suleman, lead Enterprise Architect at Mercer has seen this first hand“The Google Search Appliance
has been a worthwhile investment”not only in the significant cost reduction achieved through license costs,
hardware & software and maintenance costs, but also in the increase of productivity for workers attempting to
search across disparate content repositories.
“For knowledge workers there is no more powerful tool than instant access to the right information”Google.
Many would agree including Kirsty Sinnott ofWestern Australia’sWater corporation who, after implementing
an Enterprise Search Solution; Google Search Appliance, was finally receiving comments such as“thank you, I’m
finding what I’m looking for”comments – far more often than before the implementation even though they had
an existing Intranet and a document management system.
Driving more value from your information
We have seen many examples of enterprise search engines being implemented in organisations to varying
degrees of success. For the most successful implementations, tools like the Google Search Appliance reach into
the plethora of repositories and extract information, making it available to users through their search queries.
This provides a strong foundation on which to layer additional functionality further increasing value to the
investment made.
A key example of this is the growth of semantic and content analytic tools, referred to as“Content Intelligence”
solutions, are becoming key productivity enablers in today’s organisations. “Through2015,organisationsintegrating
highvalue,diverse,newinformationtypesandsourcesintoacoherentinformationmanagementinfrastructurewill
outperformtheirindustrypeersfinanciallybymorethan20%” Gartner.
With a myriad of repositories and formats, we need to be able to deliver to our users fast and contextual
retrieval and access paths, respecting security protocols while surfacing as much relevant content as
possible; based on the context of the query, the user profile or the entry point.
5. Paula Smith leads the Information Management practice for Optimation. She is a professionally qualified Information Management
professional with experience across a number of domains including Information Governance, Strategy development and implementation,
ECM selection, design and implementation, Change Management and Team Leadership. Paula writes for industry publications,
contributes to discussions via various social media forums, chairs and presents at conferences and blogs. Paula will be the Conference
Chair for Inforum for 2014, to be held in Adelaide in September. In her spare time she is also President of the New Zealand Branch of
RIMPA, is actively mentoring new entrants to the IM profession and contributing to a number of formal advisory groups across the sector.
About Optimation
At Optimation, we harness the potential of people and technology to create unrivalled business value for our
enterprise customers across New Zealand and Australia. Optimation offer the full spectrum of IT professional services
across plan, build, run, within an embedded practice structure that delivers best-in-class capability and IP backed
by mature processes, methodologies and governance. Our capabilities are underpinned by the knowledge and
experience we have gained over 20 years of successful business innovation and transformation.
Optimation has over 200 staff across offices in Wellington, Auckland and Sydney. Our local capability, responsiveness
and agility are complemented by the global scale and specialist expertise we can access through our strategic
partnerships with Google and Smartlogic.
For more information about Optimation visit www.optimation.co.nz
Tools like Semaphore from SmartLogic deliver‘content intelligence’by capturing the vocabulary of the
organisation (of which there could be many), their semantic tools define important topics, resources and
people into a model (list, taxonomy or ontology) which is then used to automatically classify information and
enrich it with metadata to deliver a more useful and complete information management experience. With this
intelligence applied, users are more able to find relevant information more quickly as it is served to them with
suggestions, navigational aids, visualisation aids and more.
As was seen by Applied Materials who saw a 46% reduction in the time taken to find information, equalling a
productivity saving of 4,600 hours per week across their workforce.
McClatchyTribune increased their classification accuracy, hitting an 85% accuracy rate, 25% higher than the
industry norm. Such accuracy creates value and opportunity for their business in delivering“Smart Content’to
grow revenue; to improve internal search for the journalists; to add value to our existing client services and to
create value for the newspaper base by enabling mobile apps”
Working smarter not harder, using our systems to drive automatic tagging and classification, delivering a
contextual, useful, fast and reliable search information retrieval service has value across the organisation.
ABOUT PAULA SMITH