The Social Outlook, the first report of its kind, presents insights, benchmarks and consumer trends at an unprecedented scale.
- The Social Industries Index
- Social engagement benchmarks
- Consumer & audience insights
- Industry-specific spotlights
It was not Omar Al Mukhtar who introduced
the Arab Spring to Egypt but a
Google executive, Wael Ghonim, whose
campaign on Facebook and the famous
#Jan25 tweet that undermined Hosni
Mubarak’s political regime in Egypt. Similarly,
it was not a management consultant
who shaped customer service benchmarks
at United Airlines but a YouTube
video released by Dave Carol and his
band, earning more than 150,000 views
for his song about how United Airlines
broke his guitar during a transit from
Chicago to Omaha.
How can you build up long-lasting relationships with dialogue partners and use social media to attract and engage quality customers? By Jaydip Chowdhury
The Social Outlook, the first report of its kind, presents insights, benchmarks and consumer trends at an unprecedented scale.
- The Social Industries Index
- Social engagement benchmarks
- Consumer & audience insights
- Industry-specific spotlights
It was not Omar Al Mukhtar who introduced
the Arab Spring to Egypt but a
Google executive, Wael Ghonim, whose
campaign on Facebook and the famous
#Jan25 tweet that undermined Hosni
Mubarak’s political regime in Egypt. Similarly,
it was not a management consultant
who shaped customer service benchmarks
at United Airlines but a YouTube
video released by Dave Carol and his
band, earning more than 150,000 views
for his song about how United Airlines
broke his guitar during a transit from
Chicago to Omaha.
How can you build up long-lasting relationships with dialogue partners and use social media to attract and engage quality customers? By Jaydip Chowdhury
Keynote presentation from Kantar Media CEO Andy Brown at asi 2017Kantar
Take a look through the key points from Kantar Media's DIMENSION 2017 study identifying the challenges - and opportunities faced by today's media industry.
Content strategy, communications strategy and digital excellenceDRCC
While content strategy and digital channels still bear the brunt of cross-organizational silos, communications departments have been converging. Communications directors often sit at board level and help shape business strategy. In a further drive for integration, some organizations have set up multidisciplinary centres of digital excellence.
So where in an organization does a content strategy team fit best? To show its full potential, content strategy needs to work alongside communications strategy in supporting business strategy. Diana shows how content strategy and communications strategy are complementary, providing a practical and inspiring framework for everyone to keep to.
Social Media R.O.I : How to measure it to drive your strategy?SWiTCH
Learn how to evaluate your return on investment on social media, the most useful tools to monitor your actions and how to drive your strategy online to develop your business whether you are a big brand or a small retailer.
Presentation at ISPO Snow Ice & Rock Summit 2014 (January 28th, 2014)
A presentation originally given to final year university students in Hong Kong on the subject of issues management in the digital age. Includes: recent APAC examples, key learnings and best practice.
Social Media around the World 2012 (by InSites Consulting)InSites Consulting
Social Media around the World 2012 report by InSites Consulting (data collected by SSI and translations by No Problem). The full reports offers 5 eye-catching insights on the status of social media and more than 2.000 facts & figures about social media in 19 countries. Topics cover main adoption and usage, interactions of consumers with brands, impact of branded conversations, evolution of mobile and the opportunities for structural collaboration between consumers and brands. For more information contact Marketing@InSites-Consulting.com.
The Truth Behind Social Advertising with Simply Measured Katana Media
In 2017, the global advertising industry is projected to reach $510 billion in spend, and digital advertising is poised to account for $202 billion in market share. With investments at this scale, it’s incredibly important that brands and agencies are accurately managing and measuring attribution effectively across all channels. Social media is one of the fastest growing categories of digital, yet it’s reported that nearly 50% of social referrals occur outside of a social network, subsequently becoming unmeasurable.
For this installment of our monthly webinar series, Katana’s Executive Chairman, Andreas Roell, partnered with Colin Zalewski, the Product Marketing Manager at social media analytics platform, Simply Measured, Inc.
John Bell examines the fundamental shift of social media on consumer behavior – and how adapting to it and profiting from it require an enterprise-level strategy.
This presentation on Business Intelligence via Social Media will elaborate how to use the Online Platforms and tools to achieve better business results. It was presented by Ayman Itani at 10th Digital Marketing Forum & Exhibition in Cyprus January 2014.
Keynote presentation from Kantar Media CEO Andy Brown at asi 2017Kantar
Take a look through the key points from Kantar Media's DIMENSION 2017 study identifying the challenges - and opportunities faced by today's media industry.
Content strategy, communications strategy and digital excellenceDRCC
While content strategy and digital channels still bear the brunt of cross-organizational silos, communications departments have been converging. Communications directors often sit at board level and help shape business strategy. In a further drive for integration, some organizations have set up multidisciplinary centres of digital excellence.
So where in an organization does a content strategy team fit best? To show its full potential, content strategy needs to work alongside communications strategy in supporting business strategy. Diana shows how content strategy and communications strategy are complementary, providing a practical and inspiring framework for everyone to keep to.
Social Media R.O.I : How to measure it to drive your strategy?SWiTCH
Learn how to evaluate your return on investment on social media, the most useful tools to monitor your actions and how to drive your strategy online to develop your business whether you are a big brand or a small retailer.
Presentation at ISPO Snow Ice & Rock Summit 2014 (January 28th, 2014)
A presentation originally given to final year university students in Hong Kong on the subject of issues management in the digital age. Includes: recent APAC examples, key learnings and best practice.
Social Media around the World 2012 (by InSites Consulting)InSites Consulting
Social Media around the World 2012 report by InSites Consulting (data collected by SSI and translations by No Problem). The full reports offers 5 eye-catching insights on the status of social media and more than 2.000 facts & figures about social media in 19 countries. Topics cover main adoption and usage, interactions of consumers with brands, impact of branded conversations, evolution of mobile and the opportunities for structural collaboration between consumers and brands. For more information contact Marketing@InSites-Consulting.com.
The Truth Behind Social Advertising with Simply Measured Katana Media
In 2017, the global advertising industry is projected to reach $510 billion in spend, and digital advertising is poised to account for $202 billion in market share. With investments at this scale, it’s incredibly important that brands and agencies are accurately managing and measuring attribution effectively across all channels. Social media is one of the fastest growing categories of digital, yet it’s reported that nearly 50% of social referrals occur outside of a social network, subsequently becoming unmeasurable.
For this installment of our monthly webinar series, Katana’s Executive Chairman, Andreas Roell, partnered with Colin Zalewski, the Product Marketing Manager at social media analytics platform, Simply Measured, Inc.
John Bell examines the fundamental shift of social media on consumer behavior – and how adapting to it and profiting from it require an enterprise-level strategy.
This presentation on Business Intelligence via Social Media will elaborate how to use the Online Platforms and tools to achieve better business results. It was presented by Ayman Itani at 10th Digital Marketing Forum & Exhibition in Cyprus January 2014.
http://tony-ridley.com/webinars/social-media-technologies-for-business-intelligence-security-crisis-travel-and-risk-management-webinar
How to use social media technologies for for business intelligence, including security, crisis, emergency management and travel.
Presented by Tony Ridley, a leading international consultant, speaker, author and advisor to companies of all sizes.
In this presentation (click above to attend the webinar) Tony will identify the tools, tactics, solutions and reasons behind the growing use of social media for business intelligence.
Youth empowerment: The Power of Mindset Markus Ravier
The presentation teaches Peer Facilitators to how empower the youth. Inspiring and motivating them to make a difference in serving others without hesitations and profit.
Marketing in the Moment: Trends and Innovations in Real-Time Omni-Channel Mar...Ensighten
Presented by Dave Chaffey, CEO and Co-Founder, Smart Insights
Better understanding and acting on the holistic customer journey is paramount to success for today’s marketers. Reaching that goal, however, has become increasingly complicated due to an explosion of disparate technologies and fragmented data sources. How can marketers collect and stitch together the customer data they need, and then act upon that information to drive results? Join digital marketing expert Dave Chaffey as he discusses the latest trends, innovations and best practices for driving more timely and relevant interactions across touch points. Dave will discuss the opportunities and challenges for real-time personalization; give examples of what leading brands are doing today; and talk about how more and more brands are turning to the customer data platform (CDP) and other core technologies to accelerate their initiatives.
Good rebels smart social webinar - 21 june 2018Good Rebels
In this webinar Mark Ralphs will explore the opportunities for social media to make a measurable business difference to your organisation. You will also gain an understanding of the different ways social media can play a tactical role in brand strategy.
According to the Pew Internet & American Life Project half of all adults in the US use social networking sites. Despite its obvious appeal as a marketing channel, social media is far from achieving "equal citizenship" status among the marketing mix, particularly for Business-to-Business marketers. This benchmark report will examine the pressures and challenges social media presents for B2B marketing, and the path taken by top performing companies to achieve success. Aberdeen's research shows that top performing companies have integrated social media marketing with existing, core marketing channels and processes.
ProgrammatiCon 2017 - Keynote: Programmatic - the next industry revolution fo...e-dialog GmbH
Programmatic is more than just buying and selling advertising; it is a technological force that is disrupting the very essence of traditional media buying, impacting every field from Channel Sales, Marketing, Finance and Analytics, Tech Stack and Adops to Product Development and Audience targeting. The sooner we understand the powerful tools we have at hand and the challenges that each one of these markets is experiencing, the sooner we can profit from its properties and use this industry revolution to our greater success.
Wondering if your social media initiative is providing value to your organization? Browse through Salesforce Radian6's March 29, 2012 webinar presentation, featuring Dr. Natalie Petouhoff and learn how to take your social media metrics and turn them into valuable information for your business.
Panel Communities for MR Industry: How MR Agencies Can Thrive In Community-Dr...GLOBALPARK
In 2010, 60% of Fortune 1000 companies are expecting to have some form of online community for marketing use. What does this mean for you? A significant opportunity to get closer to your clients by helping them get closer to their customers!
As a researcher, you are uniquely positioned to provide your clients instant, on-demand access to customers, with the ability to monitor behavior and sentiment over time.
Social Media’s Return On Investment – When Will We Get Buy-in?Donald Schwartz
Presentation Slides: NYC Social Media Club 6/17 Meeting w/Josh Chasin, Chief Research Officer, comScore, Inc. & David Binkowski, Director of Word of Mouth Marketing at MS&L. Moderated by: Donald Schwartz, Imagelink Productions
Making Social Media Work for Businesspeople, Presents the basics and what is needed to create a Marketing 2.0 strategy. Understanding the Power of Social Marketing and how to access this power for competitive advantage
Social Media Analytics: Return on Involvement presented on October 16, 2012 at the Swiss Knife of Social Media Conference held in Karachi, Pakistan. It provides 6 ways to measure financial impact of Social media and 4 ways to decide how to mix and match these methods for your business.
A class presentation for a project in Management Information Systems class at Miami University. The client, new to the realm of social networking, was exploring options for family-friendly sites and network ideas. I was presented with the challenge of reviewing a current social network (ExpertVillage) and then making a recommendation of whether the firm should pursue a buy-out, or develop their own network. In the following slides, my team's recommendation's and findings are documented. Our proposed new venture is The Front Porch, a mix of social networking and social video site that seeks to gather families around meaningful activities that encourage growth and learning.
Omni-Channel Retailing: Challenges Facing Today’s Retailerdmg events Asia
Edwin Lee, VP of Global Retail at MediaMath, will talk about some of the biggest challenges facing retailers today — attribution, multi-channels, big data, business goals. He will also discuss how Mediamath Retail and its clients attacks these challenges.
Similar to Social Media Intro For Business Intelligence People (20)
Data Architecture: OMG It’s Made of Peoplemark madsen
Do you have data? Do you have users? Do they use that data to solve problems? Then you have a data architecture. Maybe your architecture is organic and accidental, or maybe it’s an accumulation of the latest practices and technologies you heard about on Stack Overflow.
Spoiler: data architecture is about people and how they use data, not the latest pipeline framework or AI model. Data architecture is about enabling users to be productive, not adding the next “shiny object” and then blaming the users for using it wrong. What you design needs to focus on a different subject than either technology or data.
Join Kevin Bogusch, Ecosystem Architect, as he talks with Mark Madsen, Fellow at the Technology Innovation Office, on the crucial elements you’re missing in a successful data architecture: people and process. Find out why Mark says, “don’t buy one problem to solve another problem.”
Solve User Problems: Data Architecture for Humansmark madsen
We are bombarded with stories of the latest products to hit the market – products that will change everything we do. This causes us to focus on the latest technology, building IT for the sake of building IT. Meanwhile, the world still seems to run on Excel.
The “big innovators” who have and use unimaginably large amounts of data are not the norm. Aspiring to use the same complex technologies and patterns they do leads to poor investments and tradeoffs. This is an age-old problem rooted in the over-emphasis of technology as the agent of change. Technology isn’t the answer – it’s the platform on which people build answers.
To emphasize technology is to ignore the way tools change people and practices. The design focus in our market was on storing and making data accessible. If we want to make progress then we need to step back from the details and look at data from the perspective of the organization. Our design focus shifts to people learning and applying new insights, asking questions about how an organization can be more resilient, more efficient, or faster to sense and respond to changing conditions.
In this talk you will learn how to put your data architecture into a human frame of reference. Drawing inspiration from the history of technology and urban planning, we will see that the services provided by the things we build are what drive success, not the latest shiny distraction.
The Black Box: Interpretability, Reproducibility, and Data Managementmark madsen
The growing complexity of data science leads to black box solutions that few people in an organization understand. You often hear about the difficulty of interpretability—explaining how an analytic model works—and that you need it to deploy models. But people use many black boxes without understanding them…if they’re reliable. It’s when the black box becomes unreliable that people lose trust.
Mistrust is more likely to be created by the lack of reliability, and the lack of reliability is often the result of misunderstanding essential elements of analytics infrastructure and practice. The concept of reproducibility—the ability to get the same results given the same information—extends your view to include the environment and the data used to build and execute models.
Mark Madsen examines reproducibility and the areas that underlie production analytics and explores the most frequently ignored and yet most essential capability, data management. The industry needs to consider its practices so that systems are more transparent and reliable, improving trust and increasing the likelihood that your analytic solutions will succeed.
This talk will treat the black boxed of ML the way management perceives them, as black boxes.
There is much work on explainable models, interpretability, etc. that are important to the task of reproducibility. Much of that is relevant to the practitioner, but the practitioner can become too focused on the part they are most familiar with and focused on. Reproducing the results needs more.
Operationalizing Machine Learning in the Enterprisemark madsen
TDWI Munich 2019
What does it take to operationalize machine learning and AI in an enterprise setting?
Machine learning in an enterprise setting is difficult, but it seems easy. All you need is some smart people, some tools, and some data. It’s a long way from the environment needed to build ML applications to the environment to run them in an enterprise.
Most of what we know about production ML and AI come from the world of web and digital startups and consumer services, where ML is a core part of the services they provide. These companies have fewer constraints than most enterprises do.
This session describes the nature of ML and AI applications and the overall environment they operate in, explains some important concepts about production operations, and offers some observations and advice for anyone trying to build and deploy such systems.
Building a Data Platform Strata SF 2019mark madsen
Building a data lake involves more than installing Hadoop or putting data into AWS. The goal in most organizations is to build multi-use data infrastructure that is not subject to past constraints. This tutorial covers design assumptions, design principles, and how to approach the architecture and planning for multi-use data infrastructure in IT.
[This is a new, changed version of the presentations of the same title from last year's Strata]
Architecting a Data Platform For Enterprise Use (Strata NY 2018)mark madsen
Building a data lake involves more than installing Hadoop or putting data into AWS. The goal in most organizations is to build multi-use data infrastructure that is not subject to past constraints. This tutorial covers design assumptions, design principles, and how to approach the architecture and planning for multi-use data infrastructure in IT.
Long:
The goal in most organizations is to build multi-use data infrastructure that is not subject to past constraints. This session will discuss hidden design assumptions, review design principles to apply when building multi-use data infrastructure, and provide a reference architecture to use as you work to unify your analytics infrastructure.
The focus in our market has been on acquiring technology, and that ignores the more important part: the larger IT landscape within which this technology lives and the data architecture that lies at its core. If one expects longevity from a platform then it should be a designed rather than accidental architecture.
Architecture is more than just software. It starts from use and includes the data, technology, methods of building and maintaining, and organization of people. What are the design principles that lead to good design and a functional data architecture? What are the assumptions that limit older approaches? How can one integrate with, migrate from or modernize an existing data environment? How will this affect an organization's data management practices? This tutorial will help you answer these questions.
Topics covered:
* A brief history of data infrastructure and past design assumptions
* Categories of data and data use in organizations
* Data architecture
* Functional architecture
* Technology planning assumptions and guidance
Architecting a Platform for Enterprise Use - Strata London 2018mark madsen
The goal in most organizations is to build multi-use data infrastructure that is not subject to past constraints. This session will discuss hidden design assumptions, review design principles to apply when building multi-use data infrastructure, and provide a reference architecture to use as you work to unify your analytics infrastructure.
The focus in our market has been on acquiring technology, and that ignores the more important part: the larger IT landscape within which this technology lives and the data architecture that lies at its core. If one expects longevity from a platform then it should be a designed rather than accidental architecture.
Architecture is more than just software. It starts from use and includes the data, technology, methods of building and maintaining, and organization of people. What are the design principles that lead to good design and a functional data architecture? What are the assumptions that limit older approaches? How can one integrate with, migrate from or modernize an existing data environment? How will this affect an organization's data management practices? This tutorial will help you answer these questions.
Topics covered:
* A brief history of data infrastructure and past design assumptions
* Categories of data and data use in organizations
* Analytic workload characteristics and constraints
* Data architecture
* Functional architecture
* Tradeoffs between different classes of technology
* Technology planning assumptions and guidance
#strataconf
A Brief Tour through the Geology & Endemic Botany of the Klamath-Siskiyou Rangemark madsen
A hotspot of diversity for rare plants, butterflies and birds, the Klamath-Siskiyou region of southern Oregon is a scientist's (and naturalist's) paradise. This is transverse range running from the Cascades range to the Pacific Ocean, creating an east-west corridor between the coast and the volcanic Cascades range. Mark Madsen’s love of biology while living in the area for 15 years sparked an interest in botanical taxonomy in the world of serpentine soils and the plant communities thriving in the region, including remnant species from the last ice age.
How to understand trends in the data & software marketmark madsen
The big challenge most analytics and IT professionals face today is dealing with complexity. Trends are still not clear. It helps to look at the past and current state to understand what’s really happening in the data technology market – a whole lot of reinvention and some innovation, but not where you expect it.
We have the (well-understood) problems that we have, with their (well-understood) limitations and intractabilities.
We deal with them in the world in which they were first codified and framed. Paradigms (world views) change as a function of political, economic, technological, cultural, use and growth, however, and when the world changes we’ll have a criteria for framing not just the problems/shortcomings/intractabilities of the prior paradigm, but that paradigm itself.
At that point, however, it will have ceased to matter because we’ll be dealing with fundamentally new problems/shortcomings/intractabilities.
Pay no attention to the man behind the curtain - the unseen work behind data ...mark madsen
Goal: explain the nature of the work of an analytics team to a manager, and enable people on those teams to explain what a data science team needs to a manager.
It seems as if every organization wants to enable analytical-decision making and embed analytics into operational processes. What can you do with analytics? It looks like anything is possible. What can you really do? Probably a lot less than you expect. Why is this? Vendors promise easy-to-use analytics tools and services but they rarely deliver. The products may be easy but the work is still hard.
Using analytics to solve problems depends on many factors beyond the math: people, processes, the skills of the analyst, the technology used, the data. Technology is the easy part. Figuring out what to do and how to do it is a lot harder. Despite this, fancy new tools get all the attention and budget.
People and data are the truly hard parts. People, because many believe that data is absolute rather than relative, and that analytic models produce an answer rather than a range of answers with varying degrees of truth, accuracy and applicability. Data, because managing data for analytics is a nuanced, detail-oriented and seemingly dull task left to back-office IT.
If your goal is to build a repeatable analytics capability rather than a one-off analytics project then you will need to address the parts that are rarely mentioned. This talk will explain some of the unseen and little-discussed aspects involved when building and deploying analytics.
Assumptions about Data and Analysis: Briefing room webcast slidesmark madsen
In many ways, moving data is like moving furniture: it's an unpleasant process dubbed an occasional necessary evil. But as the data pipelines of old decay, a new reality is taking shape: the data-native architecture. Unlike traditional data processing for BI and Analytics, this approach works on data right where it lives, thus eliminating the pain of forklifting, narrowing the margin of error, and expediting the time to business benefit. The new architecture embodies new assumptions, some of which we will talk about here.
Register for this episode of The Briefing Room to hear veteran Analyst Mark Madsen of Third Nature explain why this shift is truly tectonic. He'll be briefed by Steve Wooledge of Arcadia Data who will showcase his company's technology, which leverages a data-native architecture to fuel rapid-fire visualization and analysis of both big data and small.
Everything Has Changed Except Us: Modernizing the Data Warehousemark madsen
Keynote, Munich, June 2016
The way we make decisions has changed. The data we use has changed. The techniques we can apply to data and decisions have changed. Yet what we build and how we build it has barely changed in 20 years.
The definition of madness is doing more of what you already do and expecting different results. The threat to the data warehouse is not from new technology that will replace the data warehouse. It is from destabilization caused by new technology as it changes the architecture, and from failure to adapt to those changes.
The technology that we use is problematic because it constrains and sometimes prevents necessary activities. We don’t need more technology and bigger machines. We need different technology that does different things. More product features from the same vendors won’t solve the problem.
The data we want to use is challenging. We can’t model and clean and maintain it fast enough. We don’t need more data modeling to solve this problem. We need less modeling and more metadata.
And lastly, a change in scale has occurred. It isn’t a simple problem of “big”. The problem with current workloads has been solved, despite the performance problems that many people still have today. Scale has many dimensions – important among them are the number of discrete sources and structures, the rate of change of individual structures, the rate of change in data use, the variety of uses and the concurrency of those uses.
In short, we need new architecture that is not focused on creating stability in data, but one that is adaptable to continuous and rapidly changing uses of data.
A Pragmatic Approach to Analyzing Customersmark madsen
The business market is different today than it was 20 years ago when BI got started. We're just beginning to grasp how to work within the new economic and communication models. Companies can't rely solely on financial and operational metrics any more, and need to analyze customer behaviors in more detail.
The big change in analysis is a move from mass market metrics to individualized data, no longer analyzing or managing by averages. The stream of events and observations available from applications today combined with new platforms for collecting and processing data enables (relatively) easy analysis.
Despite this, many companies struggle to analyze customer data. This talk will describe a handful of customer metrics and models that are (relatively) easy to do, yet are often not done. It's often easier to succeed by stringing together a handful of simple techniques rather than applying advanced techniques.
Expect to come away from this session with:
- a little history of customer data use by marketing and how that has changed in the last 10 years.
- the most common behavioral data sources you have available.
- some of the basic questions that often go unanswered, and data that is not assessed in the proper context.
- some basic analyses you can perform.
Disruptive Innovation: how do you use these theories to manage your IT?mark madsen
The term disruptive innovation was popularized by Harvard professor Clayton Christensen in his 1997 book “The Innovator’s Dilemma.” Nearly 20 years later “Disrupt!” is a popular leadership mantra that is more frequently uttered than experienced. You can't productize it. You can't always control it – at least what effects it has in practice. You aren't necessarily going to like every product of innovation. So are you sure you want it? If so, how do you promote a culture in which innovation can flower – and, potentially, thrive? Because that's probably the best that you can do.
Perhaps there's a better framing for innovation than just "disruption.“ This session is an overview of commmoditization and innovation theories followed by basic things you can do to apply that theory to your daily job architecting, choosing and managing a data environment in your company.
Briefing room: An alternative for streaming data collectionmark madsen
Knowing what’s happening in your enterprise right now can mark the difference between success and failure. The key is to have a rich view of activity, such that analysts and others can explore in a fully multidimensional fashion. Benefiting from such a detailed perspective can help professionals identify the exact nature of problems or opportunities, thus enabling precise actions that make a difference quickly.
Register for this episode of The Briefing Room to hear veteran Analyst Mark Madsen of Third Nature explain how a nexus of innovations for analyzing network traffic can help companies stay on top of their game. He’ll be briefed by Erik Giesa of ExtraHop, who will showcase his company’s stream analytics technology for wire data, which provides real-time, multidimensional views of network traffic. He’ll share success stories of how ExtraHop has solved otherwise intractable problems and enabled a new level of root-cause analysis.
Building the Enterprise Data Lake: A look at architecturemark madsen
The topic is building an Enterprise Data Lake, discussing high level data and technology architecture. We will describe the architecture of a data warehouse, how a data lake needs to differ, and show a high level functional and data architecture for a data lake. This webinar will cover:
Why dumping data into Hadoop and letting users get it out doesn't work
The difference between a Hadoop application and a Data Lake
Why new ideas about data architecture are a key element
An Enterprise Data Lake reference architecture to frame what must be built
Slides for Briefing Room webcast ( https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=869f964b1380f728cedde802779a1e12 )
Organizations worldwide are learning hard lessons these days about the constraints of dated information systems. The time-tested process of Extract-Transform-Load (ETL) is fast losing its ability to cope with the volume, velocity and variety of Big Data coming down the pike. Forward-thinking companies are therefore prepping the battle field by designing on-ramps to the future of streaming analytics. Register for this episode of The Briefing Room to hear Analyst Mark Madsen explain how a new era of data solutions is rising to the challenge of streaming data. He'll be briefed by Steve Wilkes, founder and CTO of the Striim platform. Steve will share how enterprises are turning to streaming data integration, in-memory transformations and continuous processing to achieve the goals of ETL in milliseconds – at a fraction of the cost and complexity of legacy systems. Several case studies will be shared.
The way we make decisions has changed. The data we use has changed. The techniques we can apply to data and decisions have changed. Yet what we build and how we build it has barely changed in 20 years.
The definition of madness is doing more of what you already do and expecting different results. The threat to the data warehouse is not from new technology that will replace the data warehouse. It is from destabilization caused by new technology as it changes the architecture, and from failure to adapt to those changes.
The technology that we use is problematic because it constrains and sometimes prevents necessary activities. We don’t need more technology and bigger machines. We need different technology that does different things. More product features from the same vendors won’t solve the problem.
The data we want to use is challenging. We can’t model and clean and maintain it fast enough. We don’t need more data modeling to solve this problem. We need less modeling and more metadata.
And lastly, a change in scale has occurred. It isn’t a simple problem of “big”. The problem with current workloads has been solved, despite the performance problems that many people still have today. Scale has many dimensions – important among them are the number of discrete sources and structures, the rate of change of individual structures, the rate of change in data use, the variety of uses and the concurrency of those uses.
In short, we need new architecture that is not focused on creating stability in data, but one that is adaptable to continuous and rapidly changing uses of data.
Bi isn't big data and big data isn't BI (updated)mark madsen
Big data is hyped, but isn't hype. There are definite technical, process and business differences in the big data market when compared to BI and data warehousing, but they are often poorly understood or explained. BI isn't big data, and big data isn't BI. By distilling the technical and process realities of big data systems and projects we can separate fact from fiction. This session examines the underlying assumptions and abstractions we use in the BI and DW world, the abstractions that evolved in the big data world, and how they are different. Armed with this knowledge, you will be better able to make design and architecture decisions. The session is sometimes conceptual, sometimes detailed technical explorations of data, processing and technology, but promises to be entertaining regardless of the level.
Yes, it’s about the data normally called “big”, but it’s not Hadoop for the database crowd, despite the prominent role Hadoop plays. The session will be technical, but in a technology preview/overview fashion. I won’t be teaching you to write MapReduce jobs or anything of the sort.
The first part will be an overview of the types, formats and structures of data that aren’t normally in the data warehouse realm. The second part will cover some of the basic technology components, vendors and architecture.
The goal is to provide an overview of the extent of data available and some of the nuances or challenges in processing it, coupled with some examples of tools or vendors that may be a starting point if you are building in a particular area.
On the edge: analytics for the modern enterprise (analyst comments)mark madsen
On the Edge: Analytics for the Modern Enterprise
[these are the analyst comments on enterprise data architecture and streaming]
Webcast description: The speed of business today requires new approaches to generating and leveraging analytics. Latencies of a day, an hour or even minutes no longer suffice in many situations. For these use cases, organizations must embrace analytics at the edge: a process that involves targeted number-crunching at the fringe of the enterprise. When designed properly, these systems give companies a leg up on their competitors. Register for this episode of The Briefing Room to hear veteran Analyst Mark Madsen of Third Nature explain how a new era of information architectures is now unfolding, paving the way to much more responsive and agile business models. He'll be briefed by Kim Macpherson of the Cisco Data and Analytics Business Unit, who will explain how her company's platform is uniquely suited for this new, federated analytic paradigm. She'll demonstrate how edge analytics can help companies address opportunities quickly and effectively.
Kseniya Leshchenko: Shared development support service model as the way to ma...Lviv Startup Club
Kseniya Leshchenko: Shared development support service model as the way to make small projects with small budgets profitable for the company (UA)
Kyiv PMDay 2024 Summer
Website – www.pmday.org
Youtube – https://www.youtube.com/startuplviv
FB – https://www.facebook.com/pmdayconference
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
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Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
4. Wikipedia on social
media (naturally):
“…activities that
integrate technology,
telecommunications
and social interaction
, and the construction
of words, pictures,
videos and audio.”
How about “people
conversing online”
instead?
5. Mixed Up Terminology
Social software – software designed for
collaboration & sharing, i.e. the umbrella term
Social networks – social platforms, not “about”
anything other than the social network
Social sites / applications –the primary interaction
is around a topic, function or object; it’s “about”
something, unlike social networks
Social media – a subtype of social site /
application built around published media of some
type; blogs, video, music, games, virtual worlds
www.ThirdNature.net Mark R. Madsen Slide 5
6. Many Social Features and Tools
Blogs
Wikis
Microblogging
SMS
Chat
Widgets
Social networks
Social bookmarks
Collective tagging
Message Boards
Podcasts
Video sharing
Photo sharing
Comments
Ratings
RSS
www.ThirdNature.net Mark R. Madsen Slide 6
7. Online Community Types
Lightweight social processes
• Very low barrier to social involvement
Digg, Last.fm, Amazon, Twitter
Collaborative information structures
• The core product is generated or enhanced by
social components
Flickr, YouTube, Threadless, Etsy
High end collaboration
• Extensive involvement and collaboration required
Wikipedia, any-other-pedia, CouchSurfing, open source
projects
www.ThirdNature.net Mark R. Madsen Slide 7
19. 80% have watched online video
>100 million
videos viewed
(per day)
www.ThirdNature.net Mark R. Madsen Slide 19
20. 60% joined a social network
www.ThirdNature.net Mark R. Madsen Slide 20
21. …Where They Are Talking About You
Tell someone about a product/service by messenger
Tell someone about a product/service by email
Comment on a product/service review on a blog/
weblog
Write a review of a seller on an auction site
Recommend a product/ service on blog/ weblog
Write review of product/service on ecommerce/retail
site
Comment on product/ service review on
ecommerce/retail site
Post opinion on social network personal profile
Write a review of a product/service on yr blog/weblog
Create product wish/ favs list on ecommerce/retail site
Post a video clip featuring a product/service
0 5 10 15 20 25 30 35 40 45 50
Monthly Reach
“In the age of social media, what people say about your company or
its products can and will become very public, very quickly. My job is
about engaging in a constructive dialogue with customers, in creating
active conversation streams.” – Lionel Menchaca, chief blogger, Dell
www.ThirdNature.net Mark R. Madsen Slide 21
22. They Don’t Listen to You
>90% of people
who can ad-skip
do ad-skip
www.ThirdNature.net Mark R. Madsen Slide 22
23. They Don’t Trust You
www.ThirdNature.net Mark R. Madsen Slide 23
24. They Trust Each Other, Even Strangers
www.ThirdNature.net Mark R. Madsen Slide 24
27. Marketing and Sales Are Most Affected
www.ThirdNature.net Mark R. Madsen Slide 27
28. Some Unpleasant Marketing Facts
Marketers don’t have confidence in their ability to
manage their budget to meet objectives:
• Only 25% of marketers said senior management is
confident or very confident in forecasts of marketing
impact on sales
• Only 15% of marketers agreed or agreed completely
that they could forecast the impact of a 10% budget cut
www.ThirdNature.net Mark R. Madsen Slide 28
29. Bad News if You Want to Buy Advertising
Number of prime-time 60 second
TV commercials required to reach
80% of 18-49 year-olds
• In 1965: 3
• In 2002: 117
People with DVRs watch 12%
more TV ☺
Yet 90% of them skip the ads
www.ThirdNature.net Mark R. Madsen Slide 29
32. TV vs. Net, the Net is Winning
www.ThirdNature.net Mark R. Madsen Slide 32
33. Marketing Spend is Shifting in Response
www.ThirdNature.net Mark R. Madsen Slide 33
34. It’s a Multi-Channel World Now
Each of these new
channels has
measurement
data coming from
different sources,
often external and
out of your control.
www.ThirdNature.net Mark R. Madsen Slide 34
35. Marketing Has Relatively Few Outcome Metrics
1. Input: measures the upfront part of a process like cost
• how much you spent on a TV spot during the super bowl
2. Delivery: measures the process but not the effect
• reach of that super bowl ad
3. Outcome: measures the results
• lift from the super bowl ad
Harder things to measure: consumer sentiment, brand
awareness, brand strength, brand equity
1 2 3
?
www.ThirdNature.net Mark R. Madsen Slide 35
36. Multichannel Challenges
You can calculate the same core metrics for the online
channel as for direct marketing or advertising.
The hard part is knowing what to do with which channel.
e.g. same cost, same reach:
• Which is more effective?
• For which customer segments?
• Do they reinforce?
2 3
1 ?
?
www.ThirdNature.net Mark R. Madsen Slide 36
37. Metric Development
Developing online marketing metrics is beyond
the scope of this class. A few pointers:
• You will need input and delivery metrics for
comparison, but should focus on outcome.
• Develop delivery and outcome metrics that allow
you to test and refine campaigns while they occur.
• Try to attribute activity wherever possible
• Link metrics to both objectives and tasks/functions
www.ThirdNature.net Mark R. Madsen Slide 37
39. Sample Online Marketing Metrics
Sales development: Behavior
cost per unqualified lead, qualified lead, sales Desired actions, Response to offers
opportunity, revenue, margin, new customers Interactions, Feedback
Transactions,
Effectiveness / efficiency:
Reach, Frequency, GRP (just like the old Sentiment
models) on a per channel basis
Sentiment and trends
# of unique visitors, Visit frequency
Similar PR metrics, e.g. favorable/unfavorable
Time on site, Registrations mentions
open rate, click rate, bounce rate
Influence
Loyalty: Inbound links related to a profile or user
time on site relative to benchmarks other sites Ratio of links/clicks vs. all users
repeat business / visits, % returning Timing of links/clicks, Connections
customer loyalty survey data
Engagement
If you have widgets or applications:: an activity measure of users / total users
Downloads, Installations Virality - % growth of message or advert
Activations, Embeds
Frequency of use
www.ThirdNature.net Mark R. Madsen Slide 39
40. Online Marketing Case: Will It Blend?
Measurements:
• >2M views on YouTube
• Google page 1 for “blend”
• pagerank raised to 6
• 55,000 inbound links
• 83,000 channel
subscribers
• > 500 Facebook groups
• 5 Digg front page stories
• TV news mentions
• Newspaper mentions
www.ThirdNature.net Mark R. Madsen Slide 40
41. The Online Channel Has Advantages
The online channel can provide realtime feedback
where old channels sometimes have a data lag of
months.
Messages and offers can
be tested while a campaign
is running, rather than
between campaigns.
This requires that you
collect the data to manage
the process.
www.ThirdNature.net Mark R. Madsen Slide 41
42. About the Presenter
Mark Madsen is president of Third
Nature, a technology research and
consulting firm focused on business
intelligence, data integration and
data management. Mark is an
award-winning author, architect and
CTO whose work has been featured
in numerous industry publications.
Over the past ten years Mark
received awards for his work from
the American Productivity & Quality
Center, TDWI, and the Smithsonian
Institute. He is an international
speaker, a contributing editor at
Intelligent Enterprise, and manages
the open source channel at the
Business Intelligence Network. For
more information or to contact Mark,
visit http://ThirdNature.net.
43. About Third Nature
Third Nature is a research and consulting firm focused on new and
emerging technology and practices in business intelligence, data
integration and information management. If your question is related to BI,
open source, web 2.0 or data integration then you‘re at the right place.
Our goal is to help companies take advantage of information-driven
management practices and applications. We offer education, consulting
and research services to support business and IT organizations as well as
technology vendors.
We fill the gap between what the industry analyst firms cover and what IT
needs. We specialize in product and technology analysis, so we look at
emerging technologies and markets, evaluating the products rather than
vendor market positions.
44. Creative Commons Image Attributions
Thanks to the people who supplied the creative commons licensed images used in this presentation:
kid gives finger.jpg - http://flickr.com/photos/kevinclark/9826288/
riot police line small.jpg - http://flickr.com/photos/73594239@N00/25719098/
anne hathaway.jpg - http://flickr.com/photos/barbaradoduk/177959197/
baby birthday.jpg - http://flickr.com/photos/yoshimov/19513076/
teapot.jpg - http://flickr.com/photos/joi/411403/
darasuram temple.jpg - http://flickr.com/photos/ravages/129783888/
us capitol building.jpg - http://flickr.com/photos/jcolman/542294684/
hamadan people mosaic.jpg - http://flickr.com/photos/hamed/225868856/
well town hall.jpg - http://flickr.com/photos/tuinkabouter/1135560976/
watchmaker.jpg - http://flickr.com/photos/dashananda/310662720/
highway storm.jpg - http://flickr.com/photos/areyoumyrik/235230688
web1-0 corporate logo sheet web 2-0ized.jpg - http://flickr.com/photos/stabilo-boss/93136022/
web 2-0 logos part1.jpg - http://flickr.com/photos/stabilo-boss/93136022/
meerkat.jpg - http://flickr.com/photos/peasap/1089208526/
Gare do Oriente Lisbon.jpg - http://flickr.com/photos/higaara/228673603/
motionless in crowd2.jpg - http://flickr.com/photos/laburbuja/149566116/
snail1.jpg - http://flickr.com/photos/7147684@N03/1037533775/
social_architecture.jpg - http://flickr.com/photos/karen-ward/268612548/
baby_with_lemon 55381094_10694660e5.jpg - http://flickr.com/photos/pichichi/55381094/
laptop face.jpg - http://flickr.com/photos/sd/7746599/
www.ThirdNature.net Mark R. Madsen Slide 44
45. Creative Commons
Thanks to the people who made their images available via creative commons:
book of hours manuscript2.jpg - http://flickr.com/photos/jeffrey/89461374/
card catalog4.jpg - http://flickr.com/photos/deborahfitchett/2372385317/
royal library san lorenzo.jpg - http://flickr.com/photos/cuellar/370663920/
outdated gumshoe.jpg - http://flickr.com/photos/olivander/372385317/
book of hours manuscript1.jpg - http://flickr.com/photos/jeffrey/89461261/
semantic network visualization.jpg - http://flickr.com/photos/toby_maloy/102413554/
subway dc metro.jpg - http://flickr.com/photos/musaeum/509899161/
Gare do Oriente Lisbon airport.jpg - http://flickr.com/photos/higaara/228673603/
toolbox.jpg - http://www.flickr.com/photos/booleansplit/2376359338/
crowd_melbourne.jpg - http://www.flickr.com/photos/akc77/3370167184/
social_net_mosaic.jpg - http://www.flickr.com/photos/luc/1824234195/
befriend.jpg - http://flickr.com/photos/ehrgeizier/114385285/
martini.jpg - http://www.flickr.com/photos/tapps/2204393655/
four cupcake guys (frogs).jpg - http://www.flickr.com/photos/abielskas/114946978/
old man union square selling.jpg - http://flickr.com/photos/ktb/4683842/
highway storm.jpg - http://flickr.com/photos/areyoumyrik/235230688
Surfer - http://www.flickr.com/photos/millzero/2093324718
www.ThirdNature.net Mark R. Madsen Slide 45