This document discusses strategies for making effective use of customer data when developing digital services. It recommends establishing a common language to discuss data across an organization. It also suggests making data visible so everyone understands what data is available and its value. The document advises designing systems to capture useful customer data from the start of digital projects to provide evidence of what drives customer behavior and engagement.
An overview of strategies and processes we use in the V&A Digital Media department to deliver digital content services for our users.
Examples in this presentation are framed around four considerations:
- Re-useable digital assets
- User-centred development
- Evidence-based decision making
- Practical working methods
Using evidence from users to improve web servicesAndrew Lewis
10 February 2016
Strong data evidence informs and strengthens influence and leads to truly useful change.
Reviews how you can understand your users in ways that lead to digital services that are meaningful for them, based on examples of live services developed and implemented by the V&A Digital Media team.
Outlines the value of planning the collection and presentation of evidence of services effectiveness.
Covers iterative testing and simple user observation with prototypes to avoid investing in unwanted features or even whole services. Examines how careful implementation of behavioural data capture will let you see exactly how users really use your digital products.
Keynote at Digital Past (Gorffennol Digidol), Llandudno organised by Royal Commission on the Ancient and Historical Monuments of Wales (Comisiwn Brehninol Henebion Cymru)
Making Cultural Heritage Mobile: Challenges and PossibilitiesAndrew Lewis
Discusses the implications on service design that are caused by techological and social trends in mobile use are causing.
Key note for 'Making Cultural Heritage Mobile: Challenges and Possibilities' Conference CRASSH Centre for Research in the Arts, Social Sciences and Humanities
University of Cambridge
29 November 2013
Designing Evidence - Planning how to capture specific user behaviour as reada...Andrew Lewis
How to plan the capture of specific user-behaviour data. How to make sure it is translated into readable information that you can use to make real evidence-based changes.
Presentation at Museums Computer Network, Minneapolis 7 November 2015
Coping with Chaos - Digital Services in an Unpredictable Consumer LandscapeAndrew Lewis
For "We are Museums 2014", Warsaw, Poland
Looks at how rapid change in consumer technology makes service design extremely difficult. Consumer hardware changes, data is being produced by almost any activity we do and this is being communicated in many different ways.
This changes user behaviour and designing for users when you don't know how they live their lives is hard...
Thinking Holistically about Mobile-Responsive ServicesAndrew Lewis
A run through of simple concepts of responsive design and how these specifically apply to mobile-responsive services.
The idea that mobile technology affects social behaviour is explored and examples given of how this affects web service design for mobile phones.
The idea that mobile users are not distinct from desktop and tablet users, but often the same people at different times is considered.
To show how these simple concepts can be applied to usefully create mobile services, examples from live V&A mobile-responsive web designs are reviewed in terms of how they were planned based on how users behave. These include the main V&A website responsive display and the award-winning digital Explorer Map.
Where best to direct your it budget (and a bit about the future of IT)David Terrar
Where best to direct your IT Budget (and a bit about the future of IT) for The CESA Conference 2013 in association with the FCSI and BHA, 13 & 14 November, Savill Court Hotel, Windsor - Setting the Standard for the Foodservice Industry:
A bit of a history lesson to explain the current IT landscape
Explain “The Big Shift” or “Digital Disruption” and why it’s so important?
Why consider this Cloud thing?
Where should you be spending?
Next steps
An overview of strategies and processes we use in the V&A Digital Media department to deliver digital content services for our users.
Examples in this presentation are framed around four considerations:
- Re-useable digital assets
- User-centred development
- Evidence-based decision making
- Practical working methods
Using evidence from users to improve web servicesAndrew Lewis
10 February 2016
Strong data evidence informs and strengthens influence and leads to truly useful change.
Reviews how you can understand your users in ways that lead to digital services that are meaningful for them, based on examples of live services developed and implemented by the V&A Digital Media team.
Outlines the value of planning the collection and presentation of evidence of services effectiveness.
Covers iterative testing and simple user observation with prototypes to avoid investing in unwanted features or even whole services. Examines how careful implementation of behavioural data capture will let you see exactly how users really use your digital products.
Keynote at Digital Past (Gorffennol Digidol), Llandudno organised by Royal Commission on the Ancient and Historical Monuments of Wales (Comisiwn Brehninol Henebion Cymru)
Making Cultural Heritage Mobile: Challenges and PossibilitiesAndrew Lewis
Discusses the implications on service design that are caused by techological and social trends in mobile use are causing.
Key note for 'Making Cultural Heritage Mobile: Challenges and Possibilities' Conference CRASSH Centre for Research in the Arts, Social Sciences and Humanities
University of Cambridge
29 November 2013
Designing Evidence - Planning how to capture specific user behaviour as reada...Andrew Lewis
How to plan the capture of specific user-behaviour data. How to make sure it is translated into readable information that you can use to make real evidence-based changes.
Presentation at Museums Computer Network, Minneapolis 7 November 2015
Coping with Chaos - Digital Services in an Unpredictable Consumer LandscapeAndrew Lewis
For "We are Museums 2014", Warsaw, Poland
Looks at how rapid change in consumer technology makes service design extremely difficult. Consumer hardware changes, data is being produced by almost any activity we do and this is being communicated in many different ways.
This changes user behaviour and designing for users when you don't know how they live their lives is hard...
Thinking Holistically about Mobile-Responsive ServicesAndrew Lewis
A run through of simple concepts of responsive design and how these specifically apply to mobile-responsive services.
The idea that mobile technology affects social behaviour is explored and examples given of how this affects web service design for mobile phones.
The idea that mobile users are not distinct from desktop and tablet users, but often the same people at different times is considered.
To show how these simple concepts can be applied to usefully create mobile services, examples from live V&A mobile-responsive web designs are reviewed in terms of how they were planned based on how users behave. These include the main V&A website responsive display and the award-winning digital Explorer Map.
Where best to direct your it budget (and a bit about the future of IT)David Terrar
Where best to direct your IT Budget (and a bit about the future of IT) for The CESA Conference 2013 in association with the FCSI and BHA, 13 & 14 November, Savill Court Hotel, Windsor - Setting the Standard for the Foodservice Industry:
A bit of a history lesson to explain the current IT landscape
Explain “The Big Shift” or “Digital Disruption” and why it’s so important?
Why consider this Cloud thing?
Where should you be spending?
Next steps
Dan Goodwin - Collaborative Discovery: Commissioning a big web project when y...Museums Computer Group
It can be tricky to source an agency and commission them to work on big digital projects such as a responsive website build when you are not entirely sure what you want and need. The traditional model of RFPs and proposals can be restrictive and inefficient. I’ll describe how increasingly clients and agencies alike are finding a model where chunks of time and budget are reserved for collaborative discovery phases can prove more efficient, cost-effective and successful in the long term.
Help to plan responsive web services. The main focus is mobile-responsive and tablet-responsive displays. It also considers more generally what responsive-design means and the importance of understanding specific user contexts (like tablet use on a comfy sofa)
From MCG 'Museums Get Mobile!' event 16 May 2014
The truth is that mobile isn’t working for museums in the way we imagined. Is now the right time to think about mobile in a different way? What can we interpret from our visitors’ needs and behaviours to design services that are truly transformative and be a fully integrated part of the service offered by a museum? Lindsey Green takes a look at what happens when we stop designing mobile products and start using mobile as tool in the design for a whole service.
Digital Asset Management. What is it and why do it?Andrew Lewis
Keynote presentation for Digital Asset Management for Museums:
Conference by UK Collections Trust, 27 November 2013
Explores the user context of digital and how proliferation of digital devices and services changes user expectation of museum services. Looks at digital assets from collections and other sources and how making data portable allows flexibility and responsiveness in an unpredictable development climate.
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)Denodo
Watch full webinar here: https://bit.ly/3aWI8lt
Self-service is a major goal of modern data strategists. A successfully implemented self-service initiative means that business users have access to holistic and consistent views of data regardless of its location, source or type. As data unification and data collaboration become key critical success factors for organisations, data catalogs play a key role as the perfect companion for a virtual layer to fully empower those self-service initiatives and build a self-service data marketplace requiring minimal IT intervention.
Denodo’s Data Catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It provides business users with the tool to generate their own insights with proper security, governance, and guardrails.
In this session we will cover:
- The role of a virtual semantic layer in self-service initiatives
- Key ingredients of a successful self-service data marketplace
- Self-service (consumption) vs. inventory catalogs
- Best practices and advanced tips for successful deployment
- A Demonstration: Product Demo
- Examples of customers using Denodo’s Data Catalog to enable self-service initiatives
Empowering your Enterprise with a Self-Service Data Marketplace (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3uqcAN0
Self-service is a major goal of modern data strategists. A successfully implemented self-service initiative means that business users have access to holistic and consistent views of data regardless of its location, source or type. As data unification and data collaboration become key critical success factors for organizations, data catalogs play a key role as the perfect companion for a virtual layer to fully empower those self-service initiatives and build a self-service data marketplace requiring minimal IT intervention.
Denodo’s Data Catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It provides business users with the tool to generate their own insights with proper security, governance, and guardrails.
In this session we will cover:
- The role of a virtual semantic layer in self-service initiatives
- Key ingredients of a successful self-service data marketplace Self-service (consumption) vs. inventory catalogs
- Best practices and advanced tips for successful deployment
- A Demonstration: Product Demo
- Examples of customers using Denodo’s Data Catalog to enable self-service initiatives
ZIGRAM is a data technology organization that operates in the Data Asset space.
Our team is made up of professionals from varied domains like data science, technology, sales, risk, analytics, financial services, research, and business consulting.
Our aim is to deliver value to clients by Building Solutions, Developing Data Assets, and Managing Projects across use cases - thereby boosting revenues and reducing the cost of doing business, in a data-driven world.
Don’t Mention The “A” Word – Trends In Continuing Business And IT MisalignmentAlan McSweeney
Despite years of emphasising the need for IT and business alignment, the disconnect between business and IT continues. IT focuses too much of pure technology. However, business expectations cam be unrealistic, based on part on IT not explaining itself to the business. IT technology trends are not relevant the business. The business is concerned with the results of investment in IT and sees technology as means to an end and not as ends in themselves. IT needs to structure itself so alignment pervades the entire IT function. IT must embed business alignment in the way it operates to ensure it remains relevant to the business. IT needs to mediate between the business and suppliers and technologies, acting as a lens focussing business needs on appropriate solutions. The gulf is between business and IT seems to be getting wider. Failure to ensure this alignment may lead to the business bypassing IT and going straight to suppliers and service providers. Disintermediation of IT is central to the business plans of many internet-based service providers. Failure to systematise alignment will expose IT to the danger of becoming irrelevant.
Agile Data Science is a lean methodology that is adopted from Agile Software Development. At the core it centers around people, interactions, and building minimally viable products to ship fast and often to solicit customer feedback. In this presentation, I describe how this work was done in the past with examples. Get started today with our help by visiting http://www.alpinenow.com
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...Matt Stubbs
Date: 14th November 2018
Location: Governance and MDM Theatre
Time: 10:30 - 11:00
Speaker: Mike Ferguson
Organisation: IBS
About: For most organisations today, data complexity has increased rapidly. In the area of operations, we now have cloud and on-premises OLTP systems with customers, partners and suppliers accessing these applications via APIs and mobile apps. In the area of analytics, we now have data warehouse, data marts, big data Hadoop systems, NoSQL databases, streaming data platforms, cloud storage, cloud data warehouses, and IoT-generated data being created at the edge. Also, the number of data sources is exploding as companies ingest more and more external data such as weather and open government data. Silos have also appeared everywhere as business users are buying in self-service data preparation tools without consideration for how these tools integrate with what IT is using to integrate data. Yet new regulations are demanding that we do a better job of governing data, and business executives are demanding more agility to remain competitive in a digital economy. So how can companies remain agile, reduce cost and reduce the time-to-value when data complexity is on the up?
In this session, Mike will discuss how companies can create an information supply chain to manufacture business-ready data and analytics to reduce time to value and improve agility while also getting data under control.
Enterprise Data Marketplace: A Centralized Portal for All Your Data AssetsDenodo
Watch full webinar here: https://bit.ly/3OLv0jY
Organizations continue to collect mounds of data and it is spread over different locations and in different formats. The challenge is navigating the vastness and complexity of the modern data ecosystem to find the right data to suit your specific business purpose. Data is an important corporate asset and it needs to be leveraged but also protected.
By adopting an alternate approach to data management and adapting a logical data architecture, data can be democratized while providing centralized control within a distributed data landscape. The web-based Data Catalog tool a single access point for secure enterprise-wide data access and governance. This corporate data marketplace provides visibility into your data ecosystem and allows data to be shared without compromising data security policies.
Catch this on-demand session to understand how this approach can transform how you leverage data across the business:
- Empower the knowledge worker with data and increase productivity
- Promote data accuracy and trust to encourage re-use of important data assets
- Apply consistent security and governance policies across the enterprise data landscape
Internet of Things (IoT) - in the cloud or rather on-premises?Guido Schmutz
You want to implement a Big Data or Internet of Things (IoT) solution and like to know if it should be implemented in the cloud or on-premises. You are interested in the cloud offerings of vendors and what benefits they provide and if a similar solution would not be possible on-premises.
This presentation deals with this and other questions. Starting from a vendor-independent reference architecture and corresponding design patterns, different cloud solutions from various vendors are compared and rated. Additionally, it will be shown how such solution could be implemented on-premises and how a hybrid IoT solution could look like.
e-SIDES workshop at EBDVF 2018, Vienna 14/11/2018 e-SIDES.eu
The following presentation was given at the workshop "From data protection and privacy to fairness and trust: the way forward" co-organized by e-SIDES at EBDVF 2018 in Vienna on November 14, 2018. The workshop, chaired by Jean-Cristophe Pazzaglia (SAP - BDVe) and Richard Stevens (IDC - e-SIDES), included a panel discussion with representatives from PAPAYA, SPECIAL and My Health My Data projects.
This slides was introduced in the 2020 Ed Tech Forum which was online conference due to COVID-19 pandemic.
Abstract:
In many areas of society pertaining to education, digital transformation is said to be an irreversible trend. In fact, many of daily lives are tightly connected with digital media, and we are experiencing the need to switch to digital and online in more areas during the period of social distancing due to COVID-19 pandemic. However, it is less persuasive to convert the existing off-line services and analog-based jobs into an online non-face-to-face format since the situation with consumers has changed. Consensus is needed on what problems or changes need to be made in digital transformation. Especially in the field of education, it is necessary to bridge the educational gap that has been left as a challenge for a long time, improve the efficiency of learning, and make automation for mundane tasks which are repetitive and take a long time. Through these efforts we are able to determine what form of digital transformation is needed to solve the complex educational problems. This session reviews the problems that can be solved by utilizing the functions of artificial intelligence in the field of education, and introduces the use cases currently being tried and prospective changes. In the conclusion, we will discuss and share some idea to solve the problems we face, emphasizing that the use of artificial intelligence technology should not be the purpose in itself.
Note: I'm afraid the event link was not available anymore, but some of my friends want to see this slides for their use case collection. Even if this upload is very late, but hopefully it can be helpful for your interest or works.
Dan Goodwin - Collaborative Discovery: Commissioning a big web project when y...Museums Computer Group
It can be tricky to source an agency and commission them to work on big digital projects such as a responsive website build when you are not entirely sure what you want and need. The traditional model of RFPs and proposals can be restrictive and inefficient. I’ll describe how increasingly clients and agencies alike are finding a model where chunks of time and budget are reserved for collaborative discovery phases can prove more efficient, cost-effective and successful in the long term.
Help to plan responsive web services. The main focus is mobile-responsive and tablet-responsive displays. It also considers more generally what responsive-design means and the importance of understanding specific user contexts (like tablet use on a comfy sofa)
From MCG 'Museums Get Mobile!' event 16 May 2014
The truth is that mobile isn’t working for museums in the way we imagined. Is now the right time to think about mobile in a different way? What can we interpret from our visitors’ needs and behaviours to design services that are truly transformative and be a fully integrated part of the service offered by a museum? Lindsey Green takes a look at what happens when we stop designing mobile products and start using mobile as tool in the design for a whole service.
Digital Asset Management. What is it and why do it?Andrew Lewis
Keynote presentation for Digital Asset Management for Museums:
Conference by UK Collections Trust, 27 November 2013
Explores the user context of digital and how proliferation of digital devices and services changes user expectation of museum services. Looks at digital assets from collections and other sources and how making data portable allows flexibility and responsiveness in an unpredictable development climate.
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)Denodo
Watch full webinar here: https://bit.ly/3aWI8lt
Self-service is a major goal of modern data strategists. A successfully implemented self-service initiative means that business users have access to holistic and consistent views of data regardless of its location, source or type. As data unification and data collaboration become key critical success factors for organisations, data catalogs play a key role as the perfect companion for a virtual layer to fully empower those self-service initiatives and build a self-service data marketplace requiring minimal IT intervention.
Denodo’s Data Catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It provides business users with the tool to generate their own insights with proper security, governance, and guardrails.
In this session we will cover:
- The role of a virtual semantic layer in self-service initiatives
- Key ingredients of a successful self-service data marketplace
- Self-service (consumption) vs. inventory catalogs
- Best practices and advanced tips for successful deployment
- A Demonstration: Product Demo
- Examples of customers using Denodo’s Data Catalog to enable self-service initiatives
Empowering your Enterprise with a Self-Service Data Marketplace (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3uqcAN0
Self-service is a major goal of modern data strategists. A successfully implemented self-service initiative means that business users have access to holistic and consistent views of data regardless of its location, source or type. As data unification and data collaboration become key critical success factors for organizations, data catalogs play a key role as the perfect companion for a virtual layer to fully empower those self-service initiatives and build a self-service data marketplace requiring minimal IT intervention.
Denodo’s Data Catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It provides business users with the tool to generate their own insights with proper security, governance, and guardrails.
In this session we will cover:
- The role of a virtual semantic layer in self-service initiatives
- Key ingredients of a successful self-service data marketplace Self-service (consumption) vs. inventory catalogs
- Best practices and advanced tips for successful deployment
- A Demonstration: Product Demo
- Examples of customers using Denodo’s Data Catalog to enable self-service initiatives
ZIGRAM is a data technology organization that operates in the Data Asset space.
Our team is made up of professionals from varied domains like data science, technology, sales, risk, analytics, financial services, research, and business consulting.
Our aim is to deliver value to clients by Building Solutions, Developing Data Assets, and Managing Projects across use cases - thereby boosting revenues and reducing the cost of doing business, in a data-driven world.
Don’t Mention The “A” Word – Trends In Continuing Business And IT MisalignmentAlan McSweeney
Despite years of emphasising the need for IT and business alignment, the disconnect between business and IT continues. IT focuses too much of pure technology. However, business expectations cam be unrealistic, based on part on IT not explaining itself to the business. IT technology trends are not relevant the business. The business is concerned with the results of investment in IT and sees technology as means to an end and not as ends in themselves. IT needs to structure itself so alignment pervades the entire IT function. IT must embed business alignment in the way it operates to ensure it remains relevant to the business. IT needs to mediate between the business and suppliers and technologies, acting as a lens focussing business needs on appropriate solutions. The gulf is between business and IT seems to be getting wider. Failure to ensure this alignment may lead to the business bypassing IT and going straight to suppliers and service providers. Disintermediation of IT is central to the business plans of many internet-based service providers. Failure to systematise alignment will expose IT to the danger of becoming irrelevant.
Agile Data Science is a lean methodology that is adopted from Agile Software Development. At the core it centers around people, interactions, and building minimally viable products to ship fast and often to solicit customer feedback. In this presentation, I describe how this work was done in the past with examples. Get started today with our help by visiting http://www.alpinenow.com
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...Matt Stubbs
Date: 14th November 2018
Location: Governance and MDM Theatre
Time: 10:30 - 11:00
Speaker: Mike Ferguson
Organisation: IBS
About: For most organisations today, data complexity has increased rapidly. In the area of operations, we now have cloud and on-premises OLTP systems with customers, partners and suppliers accessing these applications via APIs and mobile apps. In the area of analytics, we now have data warehouse, data marts, big data Hadoop systems, NoSQL databases, streaming data platforms, cloud storage, cloud data warehouses, and IoT-generated data being created at the edge. Also, the number of data sources is exploding as companies ingest more and more external data such as weather and open government data. Silos have also appeared everywhere as business users are buying in self-service data preparation tools without consideration for how these tools integrate with what IT is using to integrate data. Yet new regulations are demanding that we do a better job of governing data, and business executives are demanding more agility to remain competitive in a digital economy. So how can companies remain agile, reduce cost and reduce the time-to-value when data complexity is on the up?
In this session, Mike will discuss how companies can create an information supply chain to manufacture business-ready data and analytics to reduce time to value and improve agility while also getting data under control.
Enterprise Data Marketplace: A Centralized Portal for All Your Data AssetsDenodo
Watch full webinar here: https://bit.ly/3OLv0jY
Organizations continue to collect mounds of data and it is spread over different locations and in different formats. The challenge is navigating the vastness and complexity of the modern data ecosystem to find the right data to suit your specific business purpose. Data is an important corporate asset and it needs to be leveraged but also protected.
By adopting an alternate approach to data management and adapting a logical data architecture, data can be democratized while providing centralized control within a distributed data landscape. The web-based Data Catalog tool a single access point for secure enterprise-wide data access and governance. This corporate data marketplace provides visibility into your data ecosystem and allows data to be shared without compromising data security policies.
Catch this on-demand session to understand how this approach can transform how you leverage data across the business:
- Empower the knowledge worker with data and increase productivity
- Promote data accuracy and trust to encourage re-use of important data assets
- Apply consistent security and governance policies across the enterprise data landscape
Internet of Things (IoT) - in the cloud or rather on-premises?Guido Schmutz
You want to implement a Big Data or Internet of Things (IoT) solution and like to know if it should be implemented in the cloud or on-premises. You are interested in the cloud offerings of vendors and what benefits they provide and if a similar solution would not be possible on-premises.
This presentation deals with this and other questions. Starting from a vendor-independent reference architecture and corresponding design patterns, different cloud solutions from various vendors are compared and rated. Additionally, it will be shown how such solution could be implemented on-premises and how a hybrid IoT solution could look like.
e-SIDES workshop at EBDVF 2018, Vienna 14/11/2018 e-SIDES.eu
The following presentation was given at the workshop "From data protection and privacy to fairness and trust: the way forward" co-organized by e-SIDES at EBDVF 2018 in Vienna on November 14, 2018. The workshop, chaired by Jean-Cristophe Pazzaglia (SAP - BDVe) and Richard Stevens (IDC - e-SIDES), included a panel discussion with representatives from PAPAYA, SPECIAL and My Health My Data projects.
This slides was introduced in the 2020 Ed Tech Forum which was online conference due to COVID-19 pandemic.
Abstract:
In many areas of society pertaining to education, digital transformation is said to be an irreversible trend. In fact, many of daily lives are tightly connected with digital media, and we are experiencing the need to switch to digital and online in more areas during the period of social distancing due to COVID-19 pandemic. However, it is less persuasive to convert the existing off-line services and analog-based jobs into an online non-face-to-face format since the situation with consumers has changed. Consensus is needed on what problems or changes need to be made in digital transformation. Especially in the field of education, it is necessary to bridge the educational gap that has been left as a challenge for a long time, improve the efficiency of learning, and make automation for mundane tasks which are repetitive and take a long time. Through these efforts we are able to determine what form of digital transformation is needed to solve the complex educational problems. This session reviews the problems that can be solved by utilizing the functions of artificial intelligence in the field of education, and introduces the use cases currently being tried and prospective changes. In the conclusion, we will discuss and share some idea to solve the problems we face, emphasizing that the use of artificial intelligence technology should not be the purpose in itself.
Note: I'm afraid the event link was not available anymore, but some of my friends want to see this slides for their use case collection. Even if this upload is very late, but hopefully it can be helpful for your interest or works.
HPE IDOL 10 (Intelligent Data Operating Layer)Andrey Karpov
Understand virtually all of your information with high-performance analytics: Over 500 analytical functions available for text, audio, video, and image
• Derive actionable insights: Process data in near real time to gain a competitive edge
• Maximize your information reach: Connect to over 400 systems with support for over 1000 file formats, so you can find all relevant information
• Let social media work for you: Detect emerging trends and influencers in this powerful media with sophisticated sentiment analysis and clustering technology
Splunk Financial Services Forum Boston June, 2017Splunk
Learn how companies like yours are turning terabytes of machine data – collected daily for high-volume activities like trading, claims processing and multi-channel banking – into valuable insights.
These insights help financial services organizations improve security, reduce fraud, achieve regulatory compliance, gain deeper customer insights, obtain end-to-end visibility and much more.
Operationalizing a Vision for the Monetization of Telco Consumer DataPrecisely
Telecommunications companies have an abundance of subscriber activity data at their fingertips, which can be highly valuable to third-party organizations when it comes to location-based decision making. But how can telcos properly enrich this data with the context needed in order to successfully turn that data into a revenue stream for their business?
View this short on-demand webcast, where our Customer Information Director, Dominic Tomey, discusses the following:
• Why location intelligence, particularly mobile trace data, can be so valuable for clients when making decisions based on location – particularly for retail, banking and other financial institutions
• How Precisely worked with a large provider of wireless telecommunications to successfully monetize their consumer data
• How to correctly apply contextual enrichment in order to derive the most value from subscriber activity data – including the use of demographics and point of interest data
• How to drive results through self-service environments in order to visualize the outputs for further analysis, as well as for Machine Learning and AI applications
While clients are consuming more and more data, crucial business insights get lost in a sea of pixels. In his presentation Casper will discuss how different data visualization concepts and organizational techniques can be applied to the analytical processes to better help organizations integrate actionable data best practices the influences change and create business value. iLive2014 attendees can expect to get another view on why their current digital marketing indicatives sucks, and what they can do about it.
"Implementing Machine Learning and Big Data soluctions using IDOL"Erick Delgado
I would like to share ith all of you, the talk I gave last week in Peru (La Salle University) on topic of:
1- IDOL as a Cognitive Search and Rich Media Analytics platform leveraged by IA: Machine Learning, Natural Language Processing and Deep learning
2- Business Cases at IMExperts
Similar to Coping strategies for using data when developing customer services (20)
Making your website responsive for Mobile users - some starter things you sho...Andrew Lewis
Presentation from session "Responsive Web on Mobile" 7th Museums & Mobile Online Conference on Tuesday, October 15th, 2013.
http://www.museumsmobile.com/
Tactics and Decision Making for Successful Museum Digital ProjectsAndrew Lewis
This paper discusses what tactics and decision-making mean in practice within museum digital technology projects. It offers practical suggestion for tactical approaches drawn from the author’s twelve years of experience managing digital projects and services.
Digital Media at the V&A, Bits2Blogs, Newcastle, 2013Andrew Lewis
Review of the current thinking and strategic approaches being adopted by the Digital Media department of the V&A in their work of creating public-facing digital media services.
The Realities of Moving to Digital FirstAndrew Lewis
This presentation reviews the current direction of change in the digital work of the V&A. Topics include the governance of digital media, team restructuring, the creation of a single digital content programme, the rationalisation of content delivery systems and shorter, faster, incremental development.
It discusses technical, structural, management and human perspectives.
An informal overview, it offers practical realities and challenges that arose over a year or so of developing a digital strategy and implementing changes needed to deliver it.
Technology Projects. What could possibly go wrongAndrew Lewis
Looks at common types of blockers that can impede technology projects, and how identifying local blockers can be used as a positive tool for focussing and prioritising scoping tasks, to help deliver projects successfully.
Delivered to Museum Computer Network conference, Seattle 2012
Cultural Sector Online Strategy Forum 2 October 2012 Andrew Lewis
Informal overview of digital content delivery within the Digital Media department at the V&A, presented at Online Strategy Forum, at National Theatre, London, 2 October 2012
Mixing it up: Developing and implementing a tagging system for a content-rich...Andrew Lewis
This paper looks at the reality of developing and implementing a bespoke tagging system that could be effective for users yet simple enough to use for staff who are not specialist classifiers, including human issues for staff.
Accompanies paper at Museums and the Web 2011
http://bit.ly/KZiudD
Practical experiences of evidence based change management using Google AnalyticsAndrew Lewis
MuseumNext 2012 session discussing how statistics can be used to manage expectation of resources with practical hints and tips from real implementations. This session was about influencing organisational attitude and did not require an extensive knowledge of either web technology, nor of Google Analytics.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
【社内勉強会資料_Octo: An Open-Source Generalist Robot Policy】
Coping strategies for using data when developing customer services
1. Coping strategies
for making use of data
when developing customer services
Andrew Lewis
Data and Insights Architect
MMEX INTEPRETATION TECHNOLOGY SEMINAR 2015-2017
TEKNOLOGI I FORMIDLING AARHUS, 22. AUGUST 2016
2.
3. Let’s think about…
• What we mean when we say “data”
• What our digital assets are (or could be)
• Integration and complexity
• Evidence-based decision making
• Customers in customer services
4.
5. Taking risks
• Strategies developed during 15 years of
public-facing digital services in leading UK
museums and library services
• Honest truths and tips
• Theoretical information design
• Pragmatic project delivery
• The importance of soft people management
6.
7. Ideas and helpful things to think about
to take back to your workplace and use
Go away with
15. Photos
Preferences
Videos
Records
What are our digital assets?
Data
Object records
Event records
Shop records
Conservation records
HR records
Whatever…
Customer contact records
(any records)
(any data)
Transaction data
Service data
18. Search the Collections (STC)
Mobile STC
Website auto-display module
Furniture gallery digital label
Digital map
One chair.
One authoritative digital asset.
Used in five
services
23. Digital assets
From
Web content system
Digital assets
From
Vimeo.com
Digital assets
From
Blog database
Digital assets
From
Shop database
Digital assets
From
Collection records
28. Digital assets
From
Web content system
Digital assets
From
Shop database
Digital assets
From
Collection records
Digital assets
From
Event database
Automated interests
suggestion based on
digital asset classification
29. Are you making them portable?
Do you know all the assets you have?
Do you look after them nicely?
Is strategy informing your data need?
Managing digital assets
Are you prioritising data that supports it?
44. SearchAudioguides -
Europe 1600-1815
galleries
Search term used
Navigation - Clicked next item in a
tour
Name of audio
Wi-Fi
Web address visitors are trying to
reach URL visited
Audio controls - Started playing an
audio
Name of Tour
Navigation - Selected room tours
option
Name of audio
Audio controls - Paused an audio
Name of Room
Categories Actions Labels
55. Value of insight
• Commercial opportunity
• Increased public engagement
• Impact of science and research activity
56. Risk
• Legal
e.g. data protection, security, GDPR
compliance
• Financial
Inefficiency, loss of income
• Reputational
Creepy use of data is very emotive