The document discusses the future of advanced analytics and how increasing data volumes, varieties, and velocities are impacting business decisions. It notes that advanced analytics can help analyze trends, create predictive models, and optimize business processes. The presentation will look at current and future analytics trends, with emphasis on embedded analytics to support real-time decision making. Attendees will learn about the directions of advanced analytics.
This presentation contains strategies that BI groups within IT can use to maximize their productivity and value to the business. It contains an overview of why and how ‘agile BI’ is used at direct-marketing leader Valpak, and several other strategies that can be employed to help deliver timely, effective BI solutions.
MarCloud Marketing Automation Agency - Pardot ExpertsTom Ryan ☁
At MarCloud, we are Pardot experts who focus on helping our clients develop their marketing automation strategy. From implementation and marketing set up to strategic planning and ongoing support, we've got you covered.
Other services we provide:
- Salesforce integration & config
- Content creation
- Pardot landing page, form and email template creation
- Graphic design
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace, from digital transformation to marketing, customer centricity, population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Embrace Modular Technology and Agile Process to Deliver Business ImpactMark Hewitt
- Is your enterprise technology built in a modular way?
- Can you modify or replace a component without affecting other parts of the technology architecture?
- Is your technology platform built with plug and play elements to allow for rapid change and adaptation to business and customer forces?
- Do you employ Agile processes to make calculated changes incrementally?
Technology architecture and implementation governed by a coherent platform strategy that prioritizes flexibility and component and service independence will deliver business impact.
In this paper, we articulate technology platform and architecture requirements to support modern ways of delivering iterative value, increasing the velocity, productivity, and performance of the organization, and reducing product and service time to market.
Metadata is hotter than ever, according to a number of recent DATAVERSITY surveys. More and more organizations are realizing that in order to drive business value from data, robust metadata is needed to gain the necessary context and lineage around key data assets. At the same time, industry regulations are driving the need for better transparency and understanding of information.
While metadata has been managed for decades, new strategies & approaches have been developed to support the ever-evolving data landscape, and provide more innovative ways to drive business value from metadata. This webinar will provide an overview of metadata strategies & technologies available to today’s organization, and provide insights into building successful business strategies for metadata adoption & use.
Data is the lifeblood of just about every organization and functional area today. As businesses struggle to cope with the data flood, it is even more critical to focus on data as an asset that directly supports business imperatives. Organizations across most industries attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality) to enhance business unit performance. Unfortunately, the results of these efforts frequently fall far below expectations due to haphazard approaches. Overall, poor organizational data management capabilities are the root cause of many of these failures. This webinar covers three lessons (illustrated by examples), which will help you to establish realistic expectations, and help demonstrate the value of this process to both internal and external decision makers.
This presentation contains strategies that BI groups within IT can use to maximize their productivity and value to the business. It contains an overview of why and how ‘agile BI’ is used at direct-marketing leader Valpak, and several other strategies that can be employed to help deliver timely, effective BI solutions.
MarCloud Marketing Automation Agency - Pardot ExpertsTom Ryan ☁
At MarCloud, we are Pardot experts who focus on helping our clients develop their marketing automation strategy. From implementation and marketing set up to strategic planning and ongoing support, we've got you covered.
Other services we provide:
- Salesforce integration & config
- Content creation
- Pardot landing page, form and email template creation
- Graphic design
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace, from digital transformation to marketing, customer centricity, population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Embrace Modular Technology and Agile Process to Deliver Business ImpactMark Hewitt
- Is your enterprise technology built in a modular way?
- Can you modify or replace a component without affecting other parts of the technology architecture?
- Is your technology platform built with plug and play elements to allow for rapid change and adaptation to business and customer forces?
- Do you employ Agile processes to make calculated changes incrementally?
Technology architecture and implementation governed by a coherent platform strategy that prioritizes flexibility and component and service independence will deliver business impact.
In this paper, we articulate technology platform and architecture requirements to support modern ways of delivering iterative value, increasing the velocity, productivity, and performance of the organization, and reducing product and service time to market.
Metadata is hotter than ever, according to a number of recent DATAVERSITY surveys. More and more organizations are realizing that in order to drive business value from data, robust metadata is needed to gain the necessary context and lineage around key data assets. At the same time, industry regulations are driving the need for better transparency and understanding of information.
While metadata has been managed for decades, new strategies & approaches have been developed to support the ever-evolving data landscape, and provide more innovative ways to drive business value from metadata. This webinar will provide an overview of metadata strategies & technologies available to today’s organization, and provide insights into building successful business strategies for metadata adoption & use.
Data is the lifeblood of just about every organization and functional area today. As businesses struggle to cope with the data flood, it is even more critical to focus on data as an asset that directly supports business imperatives. Organizations across most industries attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality) to enhance business unit performance. Unfortunately, the results of these efforts frequently fall far below expectations due to haphazard approaches. Overall, poor organizational data management capabilities are the root cause of many of these failures. This webinar covers three lessons (illustrated by examples), which will help you to establish realistic expectations, and help demonstrate the value of this process to both internal and external decision makers.
The global pandemic returned digital transformation to the spotlight. The lockdown put every digital business model to the test. Some organizations proved agile and resilient, but most were sent back to the drawing board to reconstruct their digital and analytic foundations.
In response, the modern C-Suite is now being tightly knit into one digital whole, connected by a web of data and analytics.
These slides--based on the webinar from leading IT research firm Enterprise Management Associates (EMA)-- outline the priorities of digital transformation in the modern C-Suite.
Data is the lifeblood of just about every organization and functional area today. As businesses struggle to come to grips with the data flood, it is even more critical to focus on data as an asset that directly supports business imperatives as other organizational assets do. Organizations across most industries attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality) to enhance business unit performance. Unfortunately however, the results of these efforts frequently fall far below expectations due to haphazard approaches. Overall, poor organizational data management capabilities are the root cause of many of these failures. This webinar covers three lessons (illustrated by examples), which will help you to establish realistic OM plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers.
Takeaways:
Organizational thinking must change: Value-added data management practices must be considered and included as a vital part of your business strategy.
Walk before you run with data focused initiatives: Understand and implement necessary data management prerequisites as a foundation, then build upon that foundation.
There are no silver bullets: Tools alone are not the answer. Specifying business requirements, business practices and data governance are almost always more important.
Measuring data quality is on the data management agenda at many financial firms as they seek to reduce operational costs, meet regulatory requirements and identify new product potential. The webinar will consider how metrics can be implemented to provide meaningful measures of data quality that can be used across the firm, solutions for data quality measurement, and the outcomes of successful metrics projects implemented by data management practitioners.
Join the webinar to find out about:
-Challenges of data quality
-Requirements for data quality metrics
-Best practice implementation
-Technology solutions
-User experiences
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.
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.
Social media and relationship development for salesEconsultancy
Econsultancy Director Peter Abraham's presentation on the topic of social media and relationship development for sales. (originally presented at Chicago Booth University School of Business)
DAS Slides: Data Governance - Combining Data Management with Organizational ...DATAVERSITY
Data Governance is both a technical and an organizational discipline, and getting Data Governance right requires a combination of Data Management fundamentals aligned with organizational change and stakeholder buy-in. Join Nigel Turner and Donna Burbank as they provide an architecture-based approach to aligning business motivation, organizational change, Metadata Management, Data Architecture and more in a concrete, practical way to achieve success in your organization.
While many Digital Transformation initiatives are focused on improving the customer experience, often too little attention is paid to the customer-facing operational decisions that impact customers every day. To get the most from your Digital Transformation efforts, your customers’ experience and the decisions that impact it cannot be ignored.
A presentation about a few current consumer trends and how they may apply to charities, covering AR (but not VR), data and AI, transparency and growth hacking.
Data is the lifeblood of just about every organization and functional area today. As businesses struggle to come to grips with the data flood, it is even more critical to focus on data as an asset that directly supports business imperatives as other organizational assets do. Organizations across most industries attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality) to enhance business unit performance. Unfortunately however, the results of these efforts frequently fall far below expectations due to haphazard approaches. Overall, poor organizational data management capabilities are the root cause of many of these failures. This webinar covers three lessons (illustrated by examples), which will help you to establish realistic OM plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers.
Check out more of our webinars here: http://www.datablueprint.com/resource-center/webinar-schedule/
ADV Slides: What the Aspiring or New Data Scientist Needs to Know About the E...DATAVERSITY
Many data scientists are well grounded in creating accomplishment in the enterprise, but many come from outside – from academia, from PhD programs and research. They have the necessary technical skills, but it doesn’t count until their product gets to production and in use. The speaker recently helped a struggling data scientist understand his organization and how to create success in it. That turned into this presentation, because many new data scientists struggle with the complexities of an enterprise.
Slides: How to Avoid the 10 Big Data Analytics Blunders — Best Practices for ...DATAVERSITY
As a steward for your enterprise’s data and digital transformation initiatives, you’re tasked with making the right choice. But before you can make those decisions, it’s important to understand what not to do when planning for your organization’s big data initiatives.
Michael Stonebraker shares the top 10 big data blunders that he has witnessed in the last decade or so. As a pioneer of database research and technology for more than 40 years, Michael understands the mistakes enterprises often made and knows how to correct and avoid them. By learning about the major blunders, you’ll know how best to future-proof your big data management and digital transformation needs. Common blunders include problems from not planning on moving everything to the cloud to believing that a data warehouse will solve all your problems to succumbing to the “innovator’s dilemma.” To illustrate the blunders, he shares a variety of corrective tips, strategies, and real-world examples.
ADV Slides: Organizational Change Management in Becoming an Analytic Organiza...DATAVERSITY
The disparity between expecting change and managing it – the “change gap” – is growing at an unprecedented pace. This has put many information management shops into traction as they initiate large, complex projects needed to stay competitive.
Information management professionals and business leaders must concern themselves with the organization’s acceptance of these efforts. To be successful in achieving the larger enterprise goals, these initiatives must transform the organization. However, it takes more than wishful thinking to bridge the gap.
The complexities of engaging behavioral and enterprise transformation are too often underestimated at great peril, because the “soft stuff” is truly hard. In this webinar, William McKnight will outline:
• The change readiness activities that focus on identifying and addressing people risks
• The tasks that will mobilize and align leaders to create outstanding business value
• The strategies to manage stakeholders, ensure change readiness, and address the organizational implications
• The methodologies to train the workforce as required to fully embrace and utilize the system
When and How Data Lakes Fit into a Modern Data ArchitectureDATAVERSITY
Whether to take data ingestion cycles off the ETL tool and the data warehouse or to facilitate competitive Data Science and building algorithms in the organization, the data lake – a place for unmodeled and vast data – will be provisioned widely in 2020.
Though it doesn’t have to be complicated, the data lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the data swamp, but not the data lake! The tool ecosystem is building up around the data lake and soon many will have a robust lake and data warehouse. We will discuss policy to keep them straight, send data to its best platform, and keep users’ confidence up in their data platforms.
Data lakes will be built in cloud object storage. We’ll discuss the options there as well.
Get this data point for your data lake journey.
BI Consultancy - Data, Analytics and StrategyShivam Dhawan
The presentation describes my views around the data we encounter in digital businesses like:
- Looking at common Data collection methodologies,
-What are the common issues within the decision support system and optimiztion lifecycle,
- Where are most of failing?
and most importantly, "How to connect the dots and move from Data to Strategy?"
I work with all facets of Web Analytics and Business Strategy and see the structures and governance models of various domains to establish and analyze the key performance indicators that allow you to have a 360º overview of online and offline multi-channel environment.
Apart from my experience with the leading analytic tools in the market like Google Analytics, Omniture and BI tools for Big Data, I am developing new solutions to solve complex digital / business problems.
As a resourceful consultant, I can connect with your team in any modality or in any form that meets your needs and solves any data/strategy problem.
Smart Data - The Foundation for Better Business OutcomesDATAVERSITY
This webinar will explore emerging technologies that enable a new generation of intelligent applications and enterprise systems. It will also act as a roadmap for evaluating and integrating these technologies and practices, and set the stage for our 2016 series of Smart Data webinars.
In the last few years, we have witnessed an AI renaissance with significant advances in areas such as machine-learning/deep learning, natural language processing, and biologically-inspired processor architectures. Simultaneously, the rise of the Industrial Internet of Things - which together with the “traditional” Internet form the Internet of Everything – foreshadows a connected world of smarter homes, cities, and even business relationships.
These “cognitive connections” are supported by advanced analytics and smart data. Join the discussion to see how you and your organization can benefit from getting started now.
Slides: Go Beyond Dashboards With the Next Generation of AnalyticsDATAVERSITY
It’s time to think differently about using data and analytics. While many organizations have progressed from relying on static reports generated by IT teams to using some version of a self-service model, most still struggle to reap the world-changing benefits long-promised by experts. Unfortunately, each evolution has delivered only incremental improvements over the last wave of analytics, leaving the biggest problems half-solved.
Join this webinar to learn more about the next generation of embedded analytics: Analytics Infusion. Learn more about:
• Developing a new approach to solving the analytic adoption challenge
• Differentiating your product and customer experience
• Achieving business outcomes through data
The global pandemic returned digital transformation to the spotlight. The lockdown put every digital business model to the test. Some organizations proved agile and resilient, but most were sent back to the drawing board to reconstruct their digital and analytic foundations.
In response, the modern C-Suite is now being tightly knit into one digital whole, connected by a web of data and analytics.
These slides--based on the webinar from leading IT research firm Enterprise Management Associates (EMA)-- outline the priorities of digital transformation in the modern C-Suite.
Data is the lifeblood of just about every organization and functional area today. As businesses struggle to come to grips with the data flood, it is even more critical to focus on data as an asset that directly supports business imperatives as other organizational assets do. Organizations across most industries attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality) to enhance business unit performance. Unfortunately however, the results of these efforts frequently fall far below expectations due to haphazard approaches. Overall, poor organizational data management capabilities are the root cause of many of these failures. This webinar covers three lessons (illustrated by examples), which will help you to establish realistic OM plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers.
Takeaways:
Organizational thinking must change: Value-added data management practices must be considered and included as a vital part of your business strategy.
Walk before you run with data focused initiatives: Understand and implement necessary data management prerequisites as a foundation, then build upon that foundation.
There are no silver bullets: Tools alone are not the answer. Specifying business requirements, business practices and data governance are almost always more important.
Measuring data quality is on the data management agenda at many financial firms as they seek to reduce operational costs, meet regulatory requirements and identify new product potential. The webinar will consider how metrics can be implemented to provide meaningful measures of data quality that can be used across the firm, solutions for data quality measurement, and the outcomes of successful metrics projects implemented by data management practitioners.
Join the webinar to find out about:
-Challenges of data quality
-Requirements for data quality metrics
-Best practice implementation
-Technology solutions
-User experiences
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.
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.
Social media and relationship development for salesEconsultancy
Econsultancy Director Peter Abraham's presentation on the topic of social media and relationship development for sales. (originally presented at Chicago Booth University School of Business)
DAS Slides: Data Governance - Combining Data Management with Organizational ...DATAVERSITY
Data Governance is both a technical and an organizational discipline, and getting Data Governance right requires a combination of Data Management fundamentals aligned with organizational change and stakeholder buy-in. Join Nigel Turner and Donna Burbank as they provide an architecture-based approach to aligning business motivation, organizational change, Metadata Management, Data Architecture and more in a concrete, practical way to achieve success in your organization.
While many Digital Transformation initiatives are focused on improving the customer experience, often too little attention is paid to the customer-facing operational decisions that impact customers every day. To get the most from your Digital Transformation efforts, your customers’ experience and the decisions that impact it cannot be ignored.
A presentation about a few current consumer trends and how they may apply to charities, covering AR (but not VR), data and AI, transparency and growth hacking.
Data is the lifeblood of just about every organization and functional area today. As businesses struggle to come to grips with the data flood, it is even more critical to focus on data as an asset that directly supports business imperatives as other organizational assets do. Organizations across most industries attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality) to enhance business unit performance. Unfortunately however, the results of these efforts frequently fall far below expectations due to haphazard approaches. Overall, poor organizational data management capabilities are the root cause of many of these failures. This webinar covers three lessons (illustrated by examples), which will help you to establish realistic OM plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers.
Check out more of our webinars here: http://www.datablueprint.com/resource-center/webinar-schedule/
ADV Slides: What the Aspiring or New Data Scientist Needs to Know About the E...DATAVERSITY
Many data scientists are well grounded in creating accomplishment in the enterprise, but many come from outside – from academia, from PhD programs and research. They have the necessary technical skills, but it doesn’t count until their product gets to production and in use. The speaker recently helped a struggling data scientist understand his organization and how to create success in it. That turned into this presentation, because many new data scientists struggle with the complexities of an enterprise.
Slides: How to Avoid the 10 Big Data Analytics Blunders — Best Practices for ...DATAVERSITY
As a steward for your enterprise’s data and digital transformation initiatives, you’re tasked with making the right choice. But before you can make those decisions, it’s important to understand what not to do when planning for your organization’s big data initiatives.
Michael Stonebraker shares the top 10 big data blunders that he has witnessed in the last decade or so. As a pioneer of database research and technology for more than 40 years, Michael understands the mistakes enterprises often made and knows how to correct and avoid them. By learning about the major blunders, you’ll know how best to future-proof your big data management and digital transformation needs. Common blunders include problems from not planning on moving everything to the cloud to believing that a data warehouse will solve all your problems to succumbing to the “innovator’s dilemma.” To illustrate the blunders, he shares a variety of corrective tips, strategies, and real-world examples.
ADV Slides: Organizational Change Management in Becoming an Analytic Organiza...DATAVERSITY
The disparity between expecting change and managing it – the “change gap” – is growing at an unprecedented pace. This has put many information management shops into traction as they initiate large, complex projects needed to stay competitive.
Information management professionals and business leaders must concern themselves with the organization’s acceptance of these efforts. To be successful in achieving the larger enterprise goals, these initiatives must transform the organization. However, it takes more than wishful thinking to bridge the gap.
The complexities of engaging behavioral and enterprise transformation are too often underestimated at great peril, because the “soft stuff” is truly hard. In this webinar, William McKnight will outline:
• The change readiness activities that focus on identifying and addressing people risks
• The tasks that will mobilize and align leaders to create outstanding business value
• The strategies to manage stakeholders, ensure change readiness, and address the organizational implications
• The methodologies to train the workforce as required to fully embrace and utilize the system
When and How Data Lakes Fit into a Modern Data ArchitectureDATAVERSITY
Whether to take data ingestion cycles off the ETL tool and the data warehouse or to facilitate competitive Data Science and building algorithms in the organization, the data lake – a place for unmodeled and vast data – will be provisioned widely in 2020.
Though it doesn’t have to be complicated, the data lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the data swamp, but not the data lake! The tool ecosystem is building up around the data lake and soon many will have a robust lake and data warehouse. We will discuss policy to keep them straight, send data to its best platform, and keep users’ confidence up in their data platforms.
Data lakes will be built in cloud object storage. We’ll discuss the options there as well.
Get this data point for your data lake journey.
BI Consultancy - Data, Analytics and StrategyShivam Dhawan
The presentation describes my views around the data we encounter in digital businesses like:
- Looking at common Data collection methodologies,
-What are the common issues within the decision support system and optimiztion lifecycle,
- Where are most of failing?
and most importantly, "How to connect the dots and move from Data to Strategy?"
I work with all facets of Web Analytics and Business Strategy and see the structures and governance models of various domains to establish and analyze the key performance indicators that allow you to have a 360º overview of online and offline multi-channel environment.
Apart from my experience with the leading analytic tools in the market like Google Analytics, Omniture and BI tools for Big Data, I am developing new solutions to solve complex digital / business problems.
As a resourceful consultant, I can connect with your team in any modality or in any form that meets your needs and solves any data/strategy problem.
Smart Data - The Foundation for Better Business OutcomesDATAVERSITY
This webinar will explore emerging technologies that enable a new generation of intelligent applications and enterprise systems. It will also act as a roadmap for evaluating and integrating these technologies and practices, and set the stage for our 2016 series of Smart Data webinars.
In the last few years, we have witnessed an AI renaissance with significant advances in areas such as machine-learning/deep learning, natural language processing, and biologically-inspired processor architectures. Simultaneously, the rise of the Industrial Internet of Things - which together with the “traditional” Internet form the Internet of Everything – foreshadows a connected world of smarter homes, cities, and even business relationships.
These “cognitive connections” are supported by advanced analytics and smart data. Join the discussion to see how you and your organization can benefit from getting started now.
Slides: Go Beyond Dashboards With the Next Generation of AnalyticsDATAVERSITY
It’s time to think differently about using data and analytics. While many organizations have progressed from relying on static reports generated by IT teams to using some version of a self-service model, most still struggle to reap the world-changing benefits long-promised by experts. Unfortunately, each evolution has delivered only incremental improvements over the last wave of analytics, leaving the biggest problems half-solved.
Join this webinar to learn more about the next generation of embedded analytics: Analytics Infusion. Learn more about:
• Developing a new approach to solving the analytic adoption challenge
• Differentiating your product and customer experience
• Achieving business outcomes through data
Palestra sobre conceitos Big data no evento IDETI em SP. Aborda o que é Big data, debate alguns beneficios e desafios. Debate também o papel do CDO- Chief Data Officer.
Unlocking the Value of Big Data (Innovation Summit 2014)Dun & Bradstreet
Big Data is central to the strategic thinking of today’s innovators and business executives as companies are scrambling to figure out the secret to transforming Big Data to Big Insight and that Insight into Action. As many companies struggle with the emerging technologies and nascent capabilities to discover and curate massive quantities of highly dynamic data, new problems are emerging in the form of how to ask meaningful questions that leverage the “V’s” of large amounts of data (e.g. volume, variety, velocity, veracity). In the Business-to-Business space, these challenges are creating both significant opportunity and ominous new types of risk. This presentation discusses how companies are reacting to these changes and provide valuable insight into new ways of thinking in a world with overwhelming quantities of data.
Since 2005, when the term “Big Data” was launched, Big Data has become an increasingly topical theme. In terms of technological development and business adoption, the domain of Big Data has made powerful advances; and that is putting it mildly.
In this initial report on Big Data, the first of four, we give answers to questions concerning what exactly Big Data is, where it differs from existing data classification, how the transformative potential of Big Data can be estimated, and what the current situation (2012) is with regard to adoption and planning.
VINT attempts to create clarity in these developments by presenting experiences and visions in perspective: objectively and laced with examples. But not all answers, not by a long way, are readily available. Indeed, more questions will arise – about the roadmap, for example, that you wish to use for Big Data. Or about governance. Or about the way you may have to revamp your organization. About the privacy issues that Big Data raises, such as those involving social analytics. And about the structures that new algorithms and systems will probably bring us.
http://www.ict-books.com/books/inspiration-trends
Sogeti on big data creating clarity - Report 1-4 on Big Data - Sogeti ViNTRick Bouter
Since 2005, when the term “Big Data” was launched, Big Data has become an increasingly topical theme. In terms of technological development and business adoption, the domain of Big Data has made powerful advances; and that is putting it mildly.
In this initial report on Big Data, the first of four, we give answers to questions concerning what exactly Big Data is, where it differs from existing data classification, how the transformative potential of Big Data can be estimated, and what the current situation (2012) is with regard to adoption and planning.
VINT attempts to create clarity in these developments by presenting experiences and visions in perspective: objectively and laced with examples. But not all answers, not by a long way, are readily available. Indeed, more questions will arise – about the roadmap, for example, that you wish to use for Big Data. Or about governance. Or about the way you may have to revamp your organization. About the privacy issues that Big Data raises, such as those involving social analytics. And about the structures that new algorithms and systems will probably bring us.
http://www.ict-books.com/books/inspiration-trends
Carousel30: Big data for digital marketersCarousel30
Carousel30's white paper that explains the most relevant aspects of big data for digital marketers.
It’s hard to read a blog, pick up a magazine, or have a conversation about business these days without the term “Big Data” coming up in some form or another. What it is exactly and how it relates to you as a digital marketer can be harder to determine. The purpose of this white paper is to talk about Big Data in terms that relate to marketing and advertising, and more specifically that relate to the digital marketer. There is much more information (or data, if you will) on this subject than this white paper allows, but the objective is to encourage further research and discovery on the areas of the subject that are most relevant to you and your current challenges within your organization or company.
Many of the references cited within this white paper provide deeper insights into specific aspects and we recommend reading them in their entirety, especially when they refer to areas of interest to you. We hope that this provides a good introduction to Big Data and is the beginning of a new step in the sophistication of your digital marketing and advertising efforts.
Booz & Company’s annual study of R&D spending
reveals the tools that are transforming innovation—
from customer insight to product launch.
See also "The Digital Tool Landscape," an interactive graphic about the tools that are transforming innovation: http://www.strategy-business.com/Interactive-The-Digital-Tool-Landscape
This white paper: Analyzes the big data revolution and the potential it offers organizations. Explores the critical talent needs and emerging talent gaps related to big data. Offers examples of organizations that are meeting this challenge head on. Recommends four steps HR and talent management professionals can take to bridge the talent gap.
Big data refers to the vast amount of structured and unstructured data that inundates organizations on a daily basis. This data comes from various sources such as social media, sensors, digital transactions, mobile devices, and more.
1. 4/18/2013
1
The Future of Advance Analytics
David Smith
Chief Executive Officer, HBMG Inc.
dsmith@hbmginc.com
Room: Room: 102B
Volume, variety, and velocity are changing us in our companies, government
agencies and at home. How do BI, Social/Business media, mobility, Devices and Big
Data drive business decisions? The success is driven by the use of advance
analytics. Business analytics facilitates realization of business objectives through
reporting of data to analyze trends, creating predictive models for forecasting and
optimizing business processes for enhanced performance. This is important not only
in business but the military and government as well.
This presentation will look at the current and future trends in analytics and how they
will impact each of us. Special emphasis will be given to the new trend of embedded
analytics. As the world moves faster toward real-time the analytics must move as
well. Attendees will leave the session with a understanding of the future directions of
advance analytics.
The Future of
Advance
AnalyticsAnalytics
David Smith
CEO HBMGInc.
dsmith@HBMGINC.com
6. 4/18/2013
6
Tapping into the Data
• Data Storage
• Reporting
• Analytics
Utilized data
• Analytics
• Advanced
Analytics
– Computing with
big datasets is a
Unutilized data
that can be
il bl t
g
fundamentally
different challenge
than doing “big
compute” over a
small dataset
available to
business
Innovation:
‘The real voyage of discovery consists
not in seeing new lands,
but in seeing with new eyes’
(Source: Marcel Proust)
‘Innovation =
creative idea and
implementation’
(Source: Glossary of Electronics)
‘Innovation: change that
‘A new method, idea,
product, etc’
(Source: Oxford English
Dictionary)
creates a new dimension of
performance’
(Source: Peter Drucker)
‘An innovation to be effective
has to be simple and it has
to be focused’
(Source: Peter Drucker)
‘Value innovators look for
what customers value in
common’
(Source: Kim & Mauborgne)
‘Innovation is the process by which new products or
methods of production are introduced, including all
the steps from the inventor’s idea to bringing the
new item to market’
(Source: Baumol, Economics: Principles & Policy)
(Source: Peter Drucker)
‘Firms need to manage steady state
innovation and radical change because
continuous improvement is no longer
enough’
(Source: Tom Peters)
8. 4/18/2013
8
Volume
Volume is increasing at incredible rates.
h l h h dWith more people using high speed
internet connections than ever, plus
these people becoming more proficient
at creating content and just more
people in general contributing
information are combined forces thatinformation are combined forces that
are causing this tremendous increase in
Volume.
Variety
Next in breaking down Big Data into easily digestible bite‐
size chunks is the concept of Variety. Take your personal
experience and think about how much information youexperience and think about how much information you
create and contribute in your daily routine. Your
voicemails, your e‐mails, your file shares, your TV
viewing habits, your Facebook updates, your LinkedIn
activity, your credit card transactions, etc.
Whether you consciously think about it or not the VarietyWhether you consciously think about it or not the Variety
of information you personally create on a daily basis
which is being collected and analyzed is simply
overwhelming.
12. 4/18/2013
12
Next Generation
• Cloud Computing (e.g. “Blue Cloud”)
– The “network becomes the computer”
D b d i ??????– Dumb devices ??????
• Pervasive Computing
– Monitoring and tracking almost anything
– The Internet is Free
• Continuous Services
• The Cloud + Pervasive Computing
– Smart buildingsSmart buildings
– Sensor nets
– “Invisible computing” or “ubiquitous computing”
– Semantic Interoperability
– Ad hoc networking
Copyright 2012@ HBMG Inc.
Advance Analytics as a strategic asset
“The future belongs to companies and people
that turn data into products.”
Mike Loukides, O’Reilly
24
13. 4/18/2013
13
Advance Analytics as a strategic asset
“85% of eBay’s analytic workload is new and
unknown. We are architected for the unknown.”
Oliver Ratzesberger, eBay
• Data exploration – data as the new oil
The exploration for data, rather than the exploration of data
Uncovering pockets of untapped data
Processing the whole data set, without sampling
eBay’s Singularity platform combines transactional data with
behavioral data, enabled identification of top sellers, driving
increased revenue from those sellers
25
Advance Analytics as a strategic asset
“Groupon will not be the first or last organization to
compete and win on the power of data It’s happeningcompete and win on the power of data. It s happening
everywhere.”
Reid Hoffman and James Slavet
Greylock Partners
Data harnessing – data as renewable energy
H i t ll i d t t Harnessing naturally occurring data streams
Like harnessing raw energy to be converted into usable energy
Conversion of raw data into usable data
26
20. 4/18/2013
20
DOD ExampleDOD Example
Counterinsurgency operations are complex increased emphasis
on:
Information and analysis at lowest levels
Shortened decision making time-scales
Operation Trends
Source: TTI Vanguard Conference - Psydex
g
Wider array of information sources
Continued growth in volume of data, especially informal information
with limited structure must transform disparate info to knowledge
Processing power and storage capacity increasing faster than
communications capacity must smartly position data and services
within networks
Increased use of commercial cellular networks hybrid networks Increased use of commercial cellular networks hybrid networks
that exploit and interoperate with commercial wireless comms is key
Enhancing coalition decision making depends on secure
communications and information networks must address end-to-
end problem of data-to-decision (coalition)
21. 4/18/2013
21
“Recce” P-38“Recce” P-38
RF-101 Voodoo
Info in War Revolution
Technology—Information—Organization
B-17 Spotter
Corps
0-2 Bird Dog
0-2 Bird DogB-52
75 Days75 Days
14 Days14 Days
<10 Minutes<10 Minutes
N b f W N b f S
RS
I
R
I
S ISR?
41
Evolution of Technology, Information, and Culture Enabled Move from Evolution of Technology, Information, and Culture Enabled Move from
Segregation of Ops and Intel to Integration of Ops and Intel…Segregation of Ops and Intel to Integration of Ops and Intel…
Number of Weapons
Required to Target
Number of Sensors
Required to Target
19431943 20092009
National
Strategic
StrategicStrategic
OperationalOperationalOperational
AIRAIR
SPACSPAC
CYBECYBE
StrategicStrategic
OperationalOperational
StrategicStrategic
OperationalOperational
21st Century Challenges:
Precision and Information Synergy
Tactical
OperationalOperational
TacticalTactical
Tactical
DESERT
STORM
1991 & Prior
1999
ALLIED
FORCE
2001
ENDURING
FREEDOM
2009
AF/PAK & Iraq
TODAY
INFO AGEINFO AGE
WARFAREWARFARE
TOMORROWTOMORROW
RR
CECE
ERER
TacticalTactical
pp
TacticalTactical
Ops …
+ Intel
I + S&R GLOBAL
INTEGRATED
ISRSegregated
Intel & Ops
NTI
+ Intel INTEGRATED
ISR
Intel & Ops
Kandahar
Runway
Pod Recce
Real‐Time
Fusion
OPS
INTEL
Multi‐Domain
Fusion
22. 4/18/2013
22
More CollectorsMore Collectors
Better SensorsBetter Sensors
Dimensions of ISR…
“More of Everything”
More DataMore Data
•• More StorageMore Storage
•• More CommsMore Comms
•• More ToolsMore Tools
•• More AnalystsMore Analysts
•• More LinguistsMore Linguists
Better Intel
…All on an Operationally Responsive Timeline…All on an Operationally Responsive Timeline
Sensor Data Volume
How do we handle all this data?How do we handle all this data?
“Rebalancing Collection & PED may be Necessary”“Rebalancing Collection & PED may be Necessary”
23. 4/18/2013
23
Persistent Surveillance Data Rates
General Norton A. Schwartz
Air Force’s chief of staff
“If i id f l h“If automation can provide a cue for our people that
would make better use of their time, that would help us
significantly,” NY Times.
Lieutenant General David Deptula
Former Deputy Chief of Staff for ISR, Headquarters, US Air p y f f ff f q
Force
“We’re going to find ourselves in the not too distant future
swimming in sensors and drowning in data”
25. 4/18/2013
25
Advance Analytics
• The time to use the output is increasingly getting
shorter – Real Time is becoming very common
Li it d il bl h d f i• Limited available human resources, and performance is
often unreliable due to human fatigue and distraction.
Therefore, automated real‐time sensor processing
techniques are required to reliably detect and
discriminate targets of interest
• Limited automated processing and tagging tools
• – Still NOT enough
Advance Analytics
• The time to use the output is increasingly getting shorter – Real
Time is becoming very common
• Limited available human resources, and performance is often p
unreliable due to human fatigue and distraction. Therefore,
automated real‐time sensor processing techniques are required to
reliably detect and discriminate targets of interest – Still NOT
enough
• Need to move to the
sensor/collector
• Needs to be embedded in the
the sensor
26. 4/18/2013
26
Autonomous Systems
Agents coordinate
and negotiate to achieve
common goals
Agents dynamically adapt
to and learn about
their environment
Adaptive
Autonomous Mobile Interoperate
Cooperative
Social
PersonalityIntelligent
Agents
Information
Agents
HBMG Inc. Copyright 2012
Agents are goal directed
and act on their
own performing
tasks on your behalf
Agents move
to where they
are needed
Agents interoperate
with humans, other,
legacy systems, and
information sources
Numbers
• How many data in the world?
– 800 Terabytes, 2000
– 160 Exabytes, 2006
– 500 Exabytes(Internet), 2009
– 2.7 Zettabytes, 2012
– 35 Zettabytes by 2020
• How many data generated ONE day?
– 7 TB, Twitter
– 10 TB, Facebook
Big data: The next frontier for innovation, competition, and productivity
McKinsey Global Institute 2011
30. 4/18/2013
30
2012 Business Intelligence, Analytics and Information
Management Survey from InformationWeek Reports
A few insights from the report:
•58% of those surveyed are “very interested” in advanced analyticsy y y
•Advanced analytics is the No. 1 leading-edge technology
•Cloud analytics systems are hot because they are easier on the
pocketbook; yet 63% of users have privacy concerns
•Data pros just can’t get good data – data quality still ranks as the top
barrier to adopting BI products throughout the company
•25% of those surveyed are mobilizing their data analytics with
dashboards and data visualizations
40% f d t t li t t b th bi d t•40% of data pros are struggling to stay above the big data wave
Conclusion
Data is one the major factors driving infrastructure computing
The growing volume of data is a problem, but it is also an opportunity
Don’t worry about ‘big data,’ worry about your datay g , y y
Take a Total Data approach to data management
• Think pragmatically about data storage and analysis
• Attempt to capture and analyze any data that might be relevant,
regardless of where it resides
‘Datastructure’ will become increasingly valuable, not only as a source of
data but also as a source of intelligence
The rise of the ‘data cloud’ and the PaaS data layer will encourage a
more flexible approach to data management and analytics
The companies that win will be those that think about data as a strategic
asset and implement the technology to monetize it
32. 4/18/2013
32
In Parting: Be Paranoid
•“Sooner or later, something
fundamental in your business world
•“Sooner or later, something
fundamental in your business worldfundamental in your business world
will change.”
• Andrew S. Grove, Founder, Intel
“Only the Paranoid Survive”
fundamental in your business world
will change.”
• Andrew S. Grove, Founder, Intel
“Only the Paranoid Survive”Only the Paranoid SurviveOnly the Paranoid Survive
Copyright @2008 HBMG Inc.