1) The presentation discusses how TSB is building its data analytics strategy and capabilities from scratch. It outlines the bank's history and digital plans.
2) TSB's internal audit team has started using IDEA software to import and analyze transactional data to support audits of fees and charges, credit risk, and partner performance. This allows deeper insights than traditional audits.
3) The presentation outlines TSB's vision of becoming a more digital, data-driven organization. It proposes a roadmap for a new data analytics strategy including using predictive analytics for planning, enhanced capabilities, and embedding analytics in audits.
Audit Webinar How to get the right data for your audit in 3 easy stepsCaseWare IDEA
As the volume of information companies collect from internal and external sources continues to grow, auditors have to embrace analytics to help them keep pace. Incorporating data analytics into audits, however, can be more challenging than it sounds. Even departments that have established audit objectives and are ready to go with their data analytics tool can have problems getting the right data to so they can start.
In this presentation, Scott Jones, CIA, CRMA discusses the challenges and solutions around identifying, obtaining and verifying the right data to help you achieve your audit objectives.
SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
Audit Webinar: Surefire ways to succeed with Data AnalyticsCaseWare IDEA
While the majority of executives and internal audit leaders agree that data analytics is important, according to the 2016 IIA CBOK study, only 40% of respondents are using technology in audit methodology. Why the disconnect?
In this webinar, we identify some of the common challenges associated with starting and continuing to use data analytics in your audit process. Easy-to-implement methods that help expand the use of data analytics and improve your audit coverage are also presented.
SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
How to find new ways to add value to your auditsCaseWare IDEA
Past Presentation at IIA GAM
Aaron Boor, IT Audit & Project Automation Manager talks about how he uses technology and data analytics to deliver more value to his organization.
SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
The newest release of IDEA is here! Join us on Wednesday, January 24th to see IDEA 10.3 in action and learn how it will help you save time, gain deeper insights and make your audits more efficient than ever.
SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
Audit: Breaking Down Barriers to Increase the Use of Data AnalyticsCaseWare IDEA
Presenter: Lenny Block, Associate VP, Internal Audit, NASDAQ
While the majority of internal audit leaders and C-suite executives agree data analytics is important to strengthening audit coverage, only a small percentage of organizations are actively using data analytics regularly. Why is that? This webinar will explore challenges and barriers associated with starting, sustaining and expanding the use of data analytics to improve audit coverage.
SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
Data Analytics and the Small Audit Department: How to Implement for Big GainsCaseWare IDEA
Listen to playback of this webinar: https://www.casewareanalytics.com/webinars/data-analytics-and-small-audit-department-how-implement-big-gains
Most internal auditors recognize the need for data analytics and the improved coverage it offers. But did you know that even small audit teams can effectively leverage data analytics in their audit programs?
It is time to get through the excuses and join our experts as they as they debunk the myth that only large audit teams can use data analytics. This webinar discusses how small audit firms can start with an analytics program; how to leverage analytic techniques along with critical thinking at various phases of the audit process, including risk assessment, macro level audit planning and micro-level audit planning; and finally a methodical plan on how small teams can grow their data analytics program to increase their effectiveness and confidence in the internal audit process.
SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
Your smarter data analytics strategy - Social Media Strategies Summit (SMSS) ...Clark Boyd
The volume and velocity of available data brings with it a huge amount of new opportunities for marketers. However, without the analytics know-how to avail of this data, these are opportunities that are often missed. Moreover, the variety of different data sources and analytics platforms only add to this complexity.
This presentation covers:
- How to define and communicate an analytics framework
- How to set up analytics dashboards for a range of stakeholders
- The people and skills you need for an optimal analytics team
- Practical tips for improving your campaign measurement
Audit Webinar How to get the right data for your audit in 3 easy stepsCaseWare IDEA
As the volume of information companies collect from internal and external sources continues to grow, auditors have to embrace analytics to help them keep pace. Incorporating data analytics into audits, however, can be more challenging than it sounds. Even departments that have established audit objectives and are ready to go with their data analytics tool can have problems getting the right data to so they can start.
In this presentation, Scott Jones, CIA, CRMA discusses the challenges and solutions around identifying, obtaining and verifying the right data to help you achieve your audit objectives.
SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
Audit Webinar: Surefire ways to succeed with Data AnalyticsCaseWare IDEA
While the majority of executives and internal audit leaders agree that data analytics is important, according to the 2016 IIA CBOK study, only 40% of respondents are using technology in audit methodology. Why the disconnect?
In this webinar, we identify some of the common challenges associated with starting and continuing to use data analytics in your audit process. Easy-to-implement methods that help expand the use of data analytics and improve your audit coverage are also presented.
SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
How to find new ways to add value to your auditsCaseWare IDEA
Past Presentation at IIA GAM
Aaron Boor, IT Audit & Project Automation Manager talks about how he uses technology and data analytics to deliver more value to his organization.
SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
The newest release of IDEA is here! Join us on Wednesday, January 24th to see IDEA 10.3 in action and learn how it will help you save time, gain deeper insights and make your audits more efficient than ever.
SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
Audit: Breaking Down Barriers to Increase the Use of Data AnalyticsCaseWare IDEA
Presenter: Lenny Block, Associate VP, Internal Audit, NASDAQ
While the majority of internal audit leaders and C-suite executives agree data analytics is important to strengthening audit coverage, only a small percentage of organizations are actively using data analytics regularly. Why is that? This webinar will explore challenges and barriers associated with starting, sustaining and expanding the use of data analytics to improve audit coverage.
SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
Data Analytics and the Small Audit Department: How to Implement for Big GainsCaseWare IDEA
Listen to playback of this webinar: https://www.casewareanalytics.com/webinars/data-analytics-and-small-audit-department-how-implement-big-gains
Most internal auditors recognize the need for data analytics and the improved coverage it offers. But did you know that even small audit teams can effectively leverage data analytics in their audit programs?
It is time to get through the excuses and join our experts as they as they debunk the myth that only large audit teams can use data analytics. This webinar discusses how small audit firms can start with an analytics program; how to leverage analytic techniques along with critical thinking at various phases of the audit process, including risk assessment, macro level audit planning and micro-level audit planning; and finally a methodical plan on how small teams can grow their data analytics program to increase their effectiveness and confidence in the internal audit process.
SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
Your smarter data analytics strategy - Social Media Strategies Summit (SMSS) ...Clark Boyd
The volume and velocity of available data brings with it a huge amount of new opportunities for marketers. However, without the analytics know-how to avail of this data, these are opportunities that are often missed. Moreover, the variety of different data sources and analytics platforms only add to this complexity.
This presentation covers:
- How to define and communicate an analytics framework
- How to set up analytics dashboards for a range of stakeholders
- The people and skills you need for an optimal analytics team
- Practical tips for improving your campaign measurement
The demand for data insights to drive decisions is higher today than ever before. This isn't just because volumes of accessible data are growing, but also because people are more data literate and accustomed to engaging information experiences from consumer apps like LinkedIn, Google Maps, & Yelp.
This same thirst for intelligence is probably apparent in your user base, whether you realize it or not - and taking the time to invest in a data & analytics strategy for your product can yield significant customer & business benefits over time.
About the Speakers:
Michelle Bradbury,Director of Product Management, Pentaho
Michelle has over 18 years of experience in technology product & project management. She enjoys collaboratively creating & delivering highly compelling products and has held roles at organizations including Microsoft, Fujitsu, & CapitalOne. Michelle's areas of expertise include database and data warehouse architecture and development, project and budget management, as well as process definition and implementation for group cohesiveness.
Ben Hopkins, Product Marketing Manager, Pentaho
Ben is focused on embedded analytics & OEM partnerships. He has also held product marketing roles at Marketo and Salesforce.com. He holds an MBA from the U.C. Berkeley Haas School of Business as well as a BA in Economics from Harvard College.
Pentaho is delivering the future of analytics with a comprehensive platform for data integration & business intelligence. Learn more at www.pentaho.com.
Upcoming Events
Would you like to lead innovation efforts within your company? Attend upcoming product innovation courses. Visit: http://bit.ly/CILCourse
Looking for a coach to accelerate your product marketing & management career?
Set up a free initial 30-minute appointment for more information: http://bit.ly/1gBFdaD.
Want To Certify Your Team?
If you have a product team of 10 or more that you want to certify, contact AIPMM at certification@aipmm.com.
About AIPMM
The AIPMM is the trusted authority in product management. It is where product professionals go for answers. With members in over 75 countries, it is the worldwide certifying body of product team professionals.
It is the world's largest professional organization of product managers, brand managers, product marketing managers and other product team professionals who are responsible for guiding their organizations, or clients, through a constantly changing business landscape.
AIPMM's certification programs are internationally recognized because they allow product professionals to demonstrate their expertise and provide corporate members an assurance that their product management and marketing teams are operating at a high competency level.
Visit http://www.aipmm.com.
Call For Speakers: http://bit.ly/1b006vm
Subscribe: http://www.aipmm.com/subscribe
Articles: http://www.aipmm.com/html/newsletter/article.ph
Membership: http://www.aipmm.com/join.php
Enterprise Analytics Strategy: Taking Business Analytics to the UserRubén Mancha
The last mile of the business analytics transformation--taking business analytics to the user--requires the alignment of goals, data, and models with business processes, technology and key performance indicators.
Expert data analytics prove to be highly transformative when applied in context to corporate business strategies.
This webinar covers various approaches and strategies that will give you a detailed insight into planning and executing your Data Analytics projects.
In this lecture we discuss data quality and data quality in Linked Data. This 50 minute lecture was given to masters student at Trinity College Dublin (Ireland), and had the following contents:
1) Defining Quality
2) Defining Data Quality - What, Why, Costs
3) Identifying problems early - using a simple semantic publishing process as an example
4) Assessing Linked (big) Data quality
5) Quality of LOD cloud datasets
References can be found at the end of the slides
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 (CC-BY-SA-40) International License.
Industry researchers at Gartner announced in April 2012 that the worldwide business intelligence, analytics, and performance management software market surpassed the US$12 Billion level in 2011, a 16.4% increase over the previous year. This statistic is among many pointing to the need for both groups to apply what management guru Peter Senge proclaimed decades ago in The Fifth Discipline: the need for a learning organization. This presentation focuses on three learning areas for anyone in the business analytics profession. First, we analysts need to learn what the markets and industries are saying today. We discuss recent trends which show how analytics will shape the future. Second, we need to learn what group learning options are available. From industry conferences (such as the PASS BA Conference, and virtual PASS sessions) to free MOOCs (massive open online courses), we have more options available to improve our knowledge. Finally, we need to learn what leadership roles our groups can have. We can leverage social networks (including PASS) and social media -- both individually and as organizations -- to communicate passion.
This presentation given by Think Big's senior data scientist Eliano Marques at Digital Natives conference in Berlin, Germany (November 2015), details how to go from experimentation to productionization for a predictive maintenance use case.
Predictive project analytics: Will your project be successful?Deloitte Canada
We may not often ask ourselves whether our project will succeed for fear of the answer. But 63 percent of projects either fail or struggle to meet their budget or completion objectives. The more complex the project, the more likely it is to fail. A recent, high-profile example of this was the roll-out of the U.S. government’s healthcare.gov program. While the government acted quickly to fix major problems with the website, the glitch led many Americans to delay their decision to join the program and turned many others off altogether. Several factors contributed to the website’s failure, including incorrectly forecasting the performance requirements, not giving sufficient time for appropriate testing and underestimating the complexity of the project. The same shortcomings doom other projects, too.
To avoid making similar mistakes, leading organizations need to identify in advance which projects are more likely to end badly and how to give them the best shot at success. Predictive project analytics, or PPA, is a new approach that leverages advanced analytics to evaluate a given project’s likelihood of success. Read how it works and how it can help your organization.
Business Analytics to solve your Business ProblemsVishal Pawar
Business Analytics Solution in 12 Steps
What is Business Analytics ?
Why we need it ?
Identify your Focus Area and Target Applications
Importance of Business Analytics with different Roles
Confirming your Business Goal with value of Business Analytics
Differentiating Business Analysis , Analyst & Intelligence
What world is doing for Business Analytics Problems
Segregate solution with Data Discovery , Analytics & Science
Gathering information with All Available Data Source
Developing Business Analytics Framework & Components
Developing Visualization with Best User Experience
Improvising Maturity Level of Business Analytics
Get Connected with Expert Team , Who know technology !
DI&A Slides: Descriptive, Prescriptive, and Predictive AnalyticsDATAVERSITY
Data analysis can be divided into descriptive, prescriptive and predictive analytics. Descriptive analytics aims to help uncover valuable insight from the data being analyzed. Prescriptive analytics suggests conclusions or actions that may be taken based on the analysis. Predictive analytics focuses on the application of statistical models to help forecast the behavior of people and markets.
This webinar will compare and contrast these different data analysis activities and cover:
- Statistical Analysis – forming a hypothesis, identifying appropriate sources and proving / disproving the hypothesis
- Descriptive Data Analytics – finding patterns
- Predictive Analytics – creating models of behavior
- Prescriptive Analytics – acting on insight
- How the analytic environment differs for each
WebXpress Business Intelligence CapabilityWebXpress.IN
Business intelligence (BI) refers to skills, knowledge, technologies, applications and practices used to help a business to acquire a better understanding of the market behavior and business context. The purpose of business intelligence is to support better business decision making.
The demand for data insights to drive decisions is higher today than ever before. This isn't just because volumes of accessible data are growing, but also because people are more data literate and accustomed to engaging information experiences from consumer apps like LinkedIn, Google Maps, & Yelp.
This same thirst for intelligence is probably apparent in your user base, whether you realize it or not - and taking the time to invest in a data & analytics strategy for your product can yield significant customer & business benefits over time.
About the Speakers:
Michelle Bradbury,Director of Product Management, Pentaho
Michelle has over 18 years of experience in technology product & project management. She enjoys collaboratively creating & delivering highly compelling products and has held roles at organizations including Microsoft, Fujitsu, & CapitalOne. Michelle's areas of expertise include database and data warehouse architecture and development, project and budget management, as well as process definition and implementation for group cohesiveness.
Ben Hopkins, Product Marketing Manager, Pentaho
Ben is focused on embedded analytics & OEM partnerships. He has also held product marketing roles at Marketo and Salesforce.com. He holds an MBA from the U.C. Berkeley Haas School of Business as well as a BA in Economics from Harvard College.
Pentaho is delivering the future of analytics with a comprehensive platform for data integration & business intelligence. Learn more at www.pentaho.com.
Upcoming Events
Would you like to lead innovation efforts within your company? Attend upcoming product innovation courses. Visit: http://bit.ly/CILCourse
Looking for a coach to accelerate your product marketing & management career?
Set up a free initial 30-minute appointment for more information: http://bit.ly/1gBFdaD.
Want To Certify Your Team?
If you have a product team of 10 or more that you want to certify, contact AIPMM at certification@aipmm.com.
About AIPMM
The AIPMM is the trusted authority in product management. It is where product professionals go for answers. With members in over 75 countries, it is the worldwide certifying body of product team professionals.
It is the world's largest professional organization of product managers, brand managers, product marketing managers and other product team professionals who are responsible for guiding their organizations, or clients, through a constantly changing business landscape.
AIPMM's certification programs are internationally recognized because they allow product professionals to demonstrate their expertise and provide corporate members an assurance that their product management and marketing teams are operating at a high competency level.
Visit http://www.aipmm.com.
Call For Speakers: http://bit.ly/1b006vm
Subscribe: http://www.aipmm.com/subscribe
Articles: http://www.aipmm.com/html/newsletter/article.ph
Membership: http://www.aipmm.com/join.php
Enterprise Analytics Strategy: Taking Business Analytics to the UserRubén Mancha
The last mile of the business analytics transformation--taking business analytics to the user--requires the alignment of goals, data, and models with business processes, technology and key performance indicators.
Expert data analytics prove to be highly transformative when applied in context to corporate business strategies.
This webinar covers various approaches and strategies that will give you a detailed insight into planning and executing your Data Analytics projects.
In this lecture we discuss data quality and data quality in Linked Data. This 50 minute lecture was given to masters student at Trinity College Dublin (Ireland), and had the following contents:
1) Defining Quality
2) Defining Data Quality - What, Why, Costs
3) Identifying problems early - using a simple semantic publishing process as an example
4) Assessing Linked (big) Data quality
5) Quality of LOD cloud datasets
References can be found at the end of the slides
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 (CC-BY-SA-40) International License.
Industry researchers at Gartner announced in April 2012 that the worldwide business intelligence, analytics, and performance management software market surpassed the US$12 Billion level in 2011, a 16.4% increase over the previous year. This statistic is among many pointing to the need for both groups to apply what management guru Peter Senge proclaimed decades ago in The Fifth Discipline: the need for a learning organization. This presentation focuses on three learning areas for anyone in the business analytics profession. First, we analysts need to learn what the markets and industries are saying today. We discuss recent trends which show how analytics will shape the future. Second, we need to learn what group learning options are available. From industry conferences (such as the PASS BA Conference, and virtual PASS sessions) to free MOOCs (massive open online courses), we have more options available to improve our knowledge. Finally, we need to learn what leadership roles our groups can have. We can leverage social networks (including PASS) and social media -- both individually and as organizations -- to communicate passion.
This presentation given by Think Big's senior data scientist Eliano Marques at Digital Natives conference in Berlin, Germany (November 2015), details how to go from experimentation to productionization for a predictive maintenance use case.
Predictive project analytics: Will your project be successful?Deloitte Canada
We may not often ask ourselves whether our project will succeed for fear of the answer. But 63 percent of projects either fail or struggle to meet their budget or completion objectives. The more complex the project, the more likely it is to fail. A recent, high-profile example of this was the roll-out of the U.S. government’s healthcare.gov program. While the government acted quickly to fix major problems with the website, the glitch led many Americans to delay their decision to join the program and turned many others off altogether. Several factors contributed to the website’s failure, including incorrectly forecasting the performance requirements, not giving sufficient time for appropriate testing and underestimating the complexity of the project. The same shortcomings doom other projects, too.
To avoid making similar mistakes, leading organizations need to identify in advance which projects are more likely to end badly and how to give them the best shot at success. Predictive project analytics, or PPA, is a new approach that leverages advanced analytics to evaluate a given project’s likelihood of success. Read how it works and how it can help your organization.
Business Analytics to solve your Business ProblemsVishal Pawar
Business Analytics Solution in 12 Steps
What is Business Analytics ?
Why we need it ?
Identify your Focus Area and Target Applications
Importance of Business Analytics with different Roles
Confirming your Business Goal with value of Business Analytics
Differentiating Business Analysis , Analyst & Intelligence
What world is doing for Business Analytics Problems
Segregate solution with Data Discovery , Analytics & Science
Gathering information with All Available Data Source
Developing Business Analytics Framework & Components
Developing Visualization with Best User Experience
Improvising Maturity Level of Business Analytics
Get Connected with Expert Team , Who know technology !
DI&A Slides: Descriptive, Prescriptive, and Predictive AnalyticsDATAVERSITY
Data analysis can be divided into descriptive, prescriptive and predictive analytics. Descriptive analytics aims to help uncover valuable insight from the data being analyzed. Prescriptive analytics suggests conclusions or actions that may be taken based on the analysis. Predictive analytics focuses on the application of statistical models to help forecast the behavior of people and markets.
This webinar will compare and contrast these different data analysis activities and cover:
- Statistical Analysis – forming a hypothesis, identifying appropriate sources and proving / disproving the hypothesis
- Descriptive Data Analytics – finding patterns
- Predictive Analytics – creating models of behavior
- Prescriptive Analytics – acting on insight
- How the analytic environment differs for each
WebXpress Business Intelligence CapabilityWebXpress.IN
Business intelligence (BI) refers to skills, knowledge, technologies, applications and practices used to help a business to acquire a better understanding of the market behavior and business context. The purpose of business intelligence is to support better business decision making.
In the past decade, the HR function has undergone a significant transformation. It has evolved from being a support function to a strategic business driver. Modern day HR’s can leverage plethora of data that to manage Employee Engagement. This presentation describes about BRIDGEi2i’s offering on Employee Engagement Analytics and how HR’s can leverage the data eco system to get granular insights for improving Employee Engagement
This week Chris Garber was at the EXL LifePRO conference in Naples FL presenting "How to Win Friends and Save Money". The presentation talks about how companies can improve efficiency by 40%+ using process improvement, technology, and data solutions.
“How to win friends and save money”
Improve your efficiency by 40%+ using process improvement, technology, and data solutions.
The competitive landscape, economic environment, and information technology continue to show up on top of the major challenges life insurers will face in the coming years. EXL Consulting will demonstrate that with process improvement, technology, and data solutions you can not only survive, but thrive, in this ever changing environment.
Key topics include:
1) Streamlining processes and improving turnaround time
2) Enhancing staff productivity while reducing errors
3) Improving pricing and customer insights with data federation
4) Modernizing legacy systems
5) Enabling customer self-services and mobile
Best Practices: Planning Data Analytic into Your AuditsFraudBusters
These slide accompany a video training presentation from AuditNet®. The video is available to view at http://bit.ly/1eBRLiZ (registration with AuditNet.tv required)
Learning Objectives:
Gain an appreciation, based on the attendee participants, of their successes and pitfalls when planning data analytics.
Understand some common approaches to overcoming obstacles to planning data analytics based on case studies from companies and survey attendees themselves.
Learn how planning analytics can be integrated into top audit areas.
Outline an effective data request process to ensure complete and accurate extractions of data every time.
See how analytics can maximize the annual audit plan and better ensure focus is placed on organizational risk.
Info-Tech Research Group & Boardroom Events Value Prop PresentationHilary Carney Badoian
As a participant of Midmarket CIO Forum, you are given the opportunity to benefit from the Info-Tech offering (membership, advisory services, diagnostics & benchmarking, tools, templates including policies and job descriptions, vendor contract review and negotiations, and alignment tools) while having the overlay of the peer to peer vetting and communications. See the overview here and set up a call to speak in detail: https://calendly.com/MeetHilary/IT
Your Challenge
Companies understand the importance of business process improvement (BPI) and recognize the touted benefits: cost savings, waste elimination, and process efficiency.
With this said, 70% of companies that embark on process improvement initiatives fail.
The high probability of failure is attributed to a number of factors, including lack of continuous improvement and failing to define measurable outcomes.
Our Advice
Adopt a forward-facing outlook. Don’t focus solely on the current state, set improvement targets upfront to drive the initiative.
Break problems down into root-cause variables. Don’t look at the symptom, dive deeper and alleviate the root cause.
Empower business analysts. Create a practical process improvement methodology that your analysts can follow.
Impact and Result
Kick off process improvement by identifying the goals and defining the improvement targets.
Start by referring to the operating model and identifying level 1, 2, and 3 processes. Once the team understands the relationship between processes, they can begin to map a level 3 process using a standard mapping notation.
Use qualitative and quantitative techniques for analyzing the root cause rather than the symptoms.
Ensure the design is aligned with the initial improvement targets. Focus on value-added activities.
Consistently monitor the process and assess the root-cause variables to gauge the success of the process improvements.
We explore new techniques for selecting and tracking value-driven KPIs. The ResultsPositive team has years of experience building custom dashboards that emphasize and leverage key business metrics. These “business value dashboard” solutions can solve pressing visibility and workflow challenges, illuminating new opportunities for improvement. Enable informed decision making with unfettered insight and visualization into your ongoing business processes. By using the data you’ve already collected, you can create a more productive pipeline. In this webinar we will be presenting:
Overview of how business value dashboards consolidate and surface key metrics.
Customer Examples of successfully implemented dashboards:
Large Utility Corporation – Network and Distribution Dashboard
One of America’s largest food companies and leading distributors – Realtime distribution center status
ResultsPositive’s BVD-specific offerings and best practices.
The New Self-Service Analytics - Going Beyond the ToolsKatherine Gabriel
In today’s business climate, using data to make quick decisions is a common ask across organizations. To fulfill such asks business users want more, faster, and better access to data and analytic tools. IT wants to balance this need for speed with the responsibility to protect the data assets from security, privacy, and quality risks. A common solution to this scenario is self-service BI or self-service analytics. Chances are you are already using self-service BI in some way, shape, or form or have heard a pitch from an analytic tool vendor!
Self-service BI has been around for several decades and yet business users keep asking for more and more. Has self-service BI failed to deliver on its promise? Is it time to revisit what self-service really means? How can business and IT work together to achieve better decision-making outcomes for their organization?
We cover:
• How to demystify what self-service analytics means
• New trends driving the self-service analytics evolution
• Best practices and lessons learned from real-life examples
• Recommendations for making progress within your organization
Advance your self-service journey.
how to successfully implement a data analytics solution.pdfbasilmph
The adoption of data analytics in business has demonstrated a transformative power in modern entrepreneurship. By analyzing vast reservoirs of data, businesses can make informed decisions, optimize operations and predict trends, thus fueling growth.
Many internal audit departments are investing in data analytics, but are struggling to fully realize the anticipated benefits. By avoiding common pitfalls and implementing data analytics holistically throughout the department, stalled analytics programs can be restarted, or new programs more successfully implemented.
Selecting the right Computer Assisted Audit Tool may appear to be a huge undertaking; however, following a systematic approach eases the burden. The right approach minimizes the risk of selecting a product that might not fit into your organization, which could impair your function as it sits underutilized or on the shelf. While point and click visual style tools are settling into the market, many auditors rely on the legacy step-by-step software tools such as ACL, IDEA, Excel and “add-on” tools.
Many chief auditors pursue opportunities to increase the frequency and intensity of interactions with management and realize nothing gets attention faster than finding previously undetected anomalies in company data. Finding the right issues quickly and timely improves the value of audit and can assist audit in winning more work.
Attending this webinar you will learn:
· Identify analysis and financial constraints
· Scoping and defining audit strategic objectives
· Reviewing selection field based on Technical needs
· Building a short/long term on-boarding roadmap
· Realize the lost opportunity of not including all auditors (no auditor left behind)
Going Beyond ‘What Success Looks Like’ – Using Data to Achieve Successful Pro...Jamie Clouting (CSPO)
Delivering value is at the heart of the Business Analyst role, but how easy is it to identify tangible value and prove the success of a project or program?
In agile projects we’ll often define a “definition of done” or ask the question “what does success look like”. At LateRooms.com, we’ve developed a toolkit for our Business Analysts to support the business in using data to define what success looks like, and track it throughout the project lifecycle.
This presentation will look at the ways LateRooms.com collects, analyses and uses data to better define the problem space, setup up KPI driven Critical Success Factors and present Benefits Realisation.
Manufacturing, a slow-adopter of Analytics, is now catching up in leaps and bounds. Across all business domains, applying analytics is providing answers to the most critical questions of the business.With exponential expansion of data, data driven insights have become a strategic necessity.
This booklet explores a few use cases of Big Data for manufacturing and how it can be leveraged.
For more info visit: https://www.teamcomputers.com/businessanalytics/Manufacturing/Booklet-Manufacturing-Digital.pdf
Now more than ever, organizations must capture what’s happening in the business and transform their data into faster, smarter decisions. In this deck, you’ll learn how Deloitte uses Workday Prism Analytics to harness financial, workforce, and operational data by unlocking key analytics at the most critical times.
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This Powerpoint presentation is only a small preview of our Toolkit.
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Similar to How to build a data analytics strategy in a digital world (20)
Auditor Sous Les Projecteurs: Marcelo Barreto Rodrigues CaseWare IDEA
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Auditor Destacado: Marcelo Barreto Rodrigues CaseWare IDEA
CaseWare Analytics tuvo la oportunidad recientemente de hablar con Marcelo Barreto Rodrigues (IM), contralmirante y director
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SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
La University of South Alabama es una facultad de medicina
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nos reunimos recientemente con el director ejecutivo del
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SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
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notre conversation.
SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
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SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
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SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
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SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
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SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
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SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
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SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
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SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
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SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
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SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
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SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
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SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
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SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
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SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
TWITTER: www.twitter.com/CW_Analytic
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SLIDESHARE: www.slideshare.net/CaseWare_Analytics
WEBSITE: www.casewareanalytics.com
BLOG: www.casewareanalytics.com/blog
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Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
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Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
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SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
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How to build a data analytics strategy in a digital world
1. How to Build a Data Analytics
Strategy in a Digital World
Ian Kirton
Internal Audit, TSB
2. The views expressed by the presenters do not necessarily represent the views, positions, or opinions of AuditNet®
LLC. These materials, and the oral presentation accompanying them, are for educational purposes only and do not
constitute accounting or legal advice or create an accountant-client relationship.
While AuditNet® makes every effort to ensure information is accurate and complete, AuditNet® makes no
representations, guarantees, or warranties as to the accuracy or completeness of the information provided via this
presentation. AuditNet® specifically disclaims all liability for any claims or damages that may result from the
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AuditNet® LLC
3. Agenda
• Overview of TSB, our
team, our approach
• Our data analytics
experience so far
• Future vision and
plans
5. TSB – The New Bank with a 200-Year History
6.6 Million Customers
• £22.3 billion in current
accounts and savings
• £18.3 billion in
mortgages
• £1.3 billion of loans
8,500 ‘Partners’
• 631 branches
• 10 head office locations
• 29 million items of new
marketing literature to
support launch
3-year Project
• May 2011 management
team appointed and
5,500 branch colleagues
moved to create the
Verde team
• May 2012 recruitment
started for core
functions
• 4,400 colleagues
involved in project build
6. TSB – The New Bank with a 200-Year History
2
Develop Audit Strategy
3
Organise Resources
4
Implement Strategy
Growth
Strategy
Branding
Strategy
Market
Strategy
Product
Strategy
Operational
Strategy
Internal
drivers
External
drivers
Audit StrategyAudit
Committee
Expectations Executive
Views
Risk Views
Regulator
Expectations
External
insights
Internal
Insights
• Agree Charter
• Agree scorecard
• Define structures
• Conduct risk
assessment
• Evaluate against each
strategy
• Develop audit plan
(Targeting process)
• Prioritise work
• Execute plan
• Periodically recalibrate
the plan
• Review audit
performance
• Re-evaluate strategy
and audit plan
• Continuously improve
• Adapt to emerging
business and audit
requirements
Audit Resources Co-source
Resources
Critical Strategic Requirements
Audit infrastructure
(GRC, IDEA, EUC’s)
Risk assessmentsMI on key processes, critical
controls, hot spots, issues
Audit Plan
Industry
trends
1
Leverage organisational
strategy
8. 1. You can import data of any size
2. The source data is protected (read-only)
3. Helps you develop tests which are repeatable
4. IDEA can import data in a wide range of file types
5. Makes it easy to perform analyses of data
6. You can select samples using several sampling techniques
7. Makes it easy to join data tables so you can match or compare different files
8. Automatically generates a complete history that documents analyses
Why Use IDEA?
9. Supporting audit testing.
Examples:
• Identifying exceptional items
• Performing analyses
• Checking calculations
• Cross-matching data between
systems
• Testing for gaps and duplicates
• Sampling
Small Steps – Our Experience so Far
10. Case 1 - Credit Risk Acquisitions Decisioning Strategy
Dummy data used to prove test design
11. Case 2 - Fees, Charges to Accounts and Credit Cards
Checking application of correct fees and charges to all Personal Current Accounts
(PCA) and credit cards
• Fees and changes must be charged in accordance with published tariffs and aligned to T&C’s
• High customer service and regulatory interest in accuracy
• 1.6 Million transactions (approximately 80 GB)
• Data transfer, cleansing and joins using IDEA
• Initial analysis showed 99% accuracy
• Deep dive on exceptions to understand differences
• Positive assurance over whole population = value add
12. Case 3 - Reviewing Partner Performance Management
Used IDEA to look at HR data for 5,933 partners, plus relevant sales and training
accreditation data for a two-year period. Looked at range of correlations relating to:
• Grievances
• Partners ‘Off Track’ more than twice vs. formal Performance Improvement Plans
• Resignations
• Dismissals
Audit team compared the data across 3 regions as well as comparing performance
rating data with sales data to establish whether there was any correlation.
Tools like IDEA provides more insights, greater assurance in each audit. Also easy for
auditors to use as the functionality is simple to use.
14. TSB will soon migrate to our own IT platform.
Opportunities to:
• Enhance audit access to data
• Develop our capabilities
The journey continues - our migration to a better place
Data
Sources
ETL
Data
Warehouse
Business
Intelligence
15. In July we announced TSB would
be the first bank in Europe whose
customers will use Samsung’s iris
recognition to log in to their
mobile banking app
Eye Eye
16. Our Vision
Build a strong connected and collaborative culture with a central point of communication that encourages
encourages Partners to share and promote information, ideas and feedback quickly.
The Vision and Objectives Driving the New Digital Workplace
Our Objectives
1. Provide the sort of tools that encourage an agile and digital way of thinking
2. Provide ways for Partners to talk and collaborate easily and effectively
3. Create a platform that brings TSB’s values to life and encourages behaviours that supports this
4. Provide best in class digital content and tools that help attract and retain Partners
5. Unlock powerful insight and fuel innovation by providing dynamic ways to share ideas
22. Knowing where you are is a good
place to start.
Have had successes at an early
stage of the data analytics journey
Migration creates an opportunity
to develop approach and look at:
• Team structure and skills
• Technology and techniques
• Training
• Wider use of data analytics
Developing a Roadmap for a New Data Analytics Strategy
23. This means, we need to:
• Underpin the audit universe with data
that allows us to spot trends, target
resource in the highest areas of risk.
• Use data as the vehicle to increase
breadth and depth of coverage,
efficiency and the targeting of adverse
trends throughout the audit plan.
• Develop the capability to continuously
monitor key controls and undertake
regular, repetitive data audits of
common activities.
Data Analytics - Where We Want To Be
We want to be a world class audit function that
develops and optimises the use of its internal skills
and uses the right tools to better focus audit effort,
broaden our coverage and deliver each audit
efficiently.
24. Data Analytics Outline Plan
2020
• Use predictive
analytics to support
audit planning.
2019
• Enhanced data
capabilities with
continuous auditing
and control monitoring
H2 2018
• Data teams and
analytics embedded in
audit delivery
H1 2018
• Data SME in place.
Data sources identified
to support audit
universe
25. How to Build a Data Analytics
Strategy in a Digital World
Ian Kirton
Internal Audit, TSB
TSB has been around for 200 years but we are a new bank.
In 2009 the European Commission decided Lloyds Banking Group must sell parts of its business.
From this decision the project ‘Verde’ was created. The re-launch TSB was the biggest ever new bank created in the UK.
The project involved the segregation of customer accounts and business data on Lloyds Bank and the seamless transition of over 6.6 million customers to a new business.
In data terms the new bank ‘inherited’ a complex architecture of over 600 systems that had been cloned, partitioned or segregated from Lloyds bank and many of which are still run by Lloyds bank under service agreements.
The new business included the establishment of an audit function that was initially going to be FTE 14 at launch.
The Model with IT outsourced to LBG has created challenges for our IT and data strategy.
This slide represents the process we went through to establish the audit function .
Audit Universe. The first Universe was created in 2013 based on the planned operating model for TSB. The Universe now has 111 entities and is updated every six months. The Audit Universe forms the basis for audit risk assessment and planning and includes all systems, processes, products, strategic events and key change programmes. Our risk assessments is supported by internal and external information on hot topics and industry themes.
Methodology - we operate a principles based methodology …… This has three core processes
Targeting – where we use the audit universe to complete a risk assessment and develop the 12 month rolling audit plan. We operate a rolling plan 12 month plan and maintain a number of audit strategies covering topics such as conduct and IT.
Execution – We follow an established methodology to plan and deliver each audit. We aim to use the best information available to the audit team to focus each audit on the highest risks and consider CAATs at the ‘planning’ stage. Our Charters supports our access to all business systems and information to help us deliver each audit
Reporting – We use our audit tool Thomson Reuters GRC to track every issue and report on every audit. We aim to provide insight rather than just numbers and have been developing our MI to focus on themes and causes. Answering the so what is more important to us than the how many.
People – We started with an operating model of FTE 14 with and addition 6 FTE in co-source. Our team has quickly grown to FTE 41 as we went through IPO to become an independent bank. Our team now includes audit professionals, qualified bankers and individuals with regulatory, risk or industry backgrounds to give a mix of skills. We use our co-source to supplement resources and skills where this is required by the audit topic or plan.. We operate in teams who face off to different business areas so they build knowledge of the business areas. This includes people whose role is to audit our IT systems, third party providers, CIO and operations.
There are many tools available some of which are already on your desktop (Excel, Access or even Word).
We wanted a tool that would enable our audit teams to perform their own testing. Professional tools like ACL and IDEA can handle large data better and making testing easy for auditors .
IDEA has been used by some of the team before and we felt it was easy for auditors with general audits skills to use. So this is where we started but we are at an early stage of embedding use.
The market for data visualisation tools is vast and there are many tools out there. TSB is not there – yet!
Computer Aided Audit Techniques are currently used by TSB to support audit testing.
CAATs let you test whole populations of data. Using analytical tools help us to increase our audit coverage and avoid risks associated with testing small samples to provide more reliable and insightful test results.
There are many tools available some of which are already on your desktop (Excel, Access or even Word).
Professional tools like ACL and IDEA can handle large data better and have tools that making testing easyier
The market for data visualisation tools is vast and there are many tools out there.
Case 1
This is taken from a recent credit audit. This audit used CAATs to help validate credit decision models and tools used to implement the credit strategy
The example is just one of many tests on this audit. We find that we get most value form using auditors who understand the business process and know what they want to test. So developing clear test objectives is key before you star asking for the data. However general auditors may not always have the data skills or confidence to use the tools to extract, cleanse or clean up the data.
Personal current Accounts (PCA) and Credit Cards both have fees and charges associated with them, a topic which has been considered by the Financial Conduct Authority (FCA) and the Competition and Markets Authority (CMA). Setting these fees creates regulatory and conduct risks if customers pay different amounts to that stated in their terms and conditions.
Our objective was to check the accuracy of fees and charges. The team had to first define their test objectives and data needs in order to send a request the data owner in the business.
The initial import consisted of 1.6m transactions (approx 80 GB). The key challenges were:
Moving the data to a place where the team could access it due to file size
Working with the power of our laptops to import the data to IDEA
Understating the data tables and content
Joining three sources of data together to create the tests data
Cleansing the data to make is easy to test
The initial filters removed any transactions where the correct (expected) charge was applied. This left 12,102 exceptions = 0.71% for further investigation. The team then applied a stratified random sample to help investigate the exceptions and were able to find explanations as to why the charges where different to that expected. E.g. different charges for charity, club and society accounts or where fees had been waived within policy.
The outcome was that the audit was able to provide more complete assurance than a typical judgemental sampling approach. Data anlaytics takes time but adds value so the effort is worth it where higher confidence levels are needed
TSB is just undertaking a massive project to migrate to our own systems.
The project is large in scope and ambition which exceeds the original Verde project. Key facts so far:
50000 pages of design materials
800 IT colleagues in Barcelona building our core system
2 new data centres
66 new contracts with third party suppliers
70k+ test cases
Over 200 business testers
For data analytics this will be a game changer as far as access to data is concerned.
Our own data centre where we access the data we need
A new data warehouse supported through the IBM InfoSphere Enterprise Edition set of tools which will be used to populate a physical data model in Teradata.
IBM InfoSphere toolset will provide ETL tools (Extract, Transform and Load) tools as well as data lineage and data governance tools
A opportunity to engage with our business intelligence teams to review audit access and take advantage of new data tools
Microstrategy
SAS
InfoPortal
Our own systems with a much simplified system landscape with more in house system, making audit access easier. Our Proteo4uk system will manage approx 70% of our IT needs
A modern cloud based platform in which to operate, using office 365
Eye eye
In July we announced TSB would be the first bank in Europe whose customers will use Samsung’s iris recognition to log in to their mobile banking app. This is a great example of the sort of digital innovation we’re capable of – with migration later this year really liberating us to be a more agile, digital business that happens to be a bank.
From September TSB customers with a Samsung Galaxy S8 or S8+ smartphone will be able to unlock our mobile banking app using the Samsung Pass iris scanner. Making them the first in Europe to benefit from secure, simple iris recognition.
Samsung’s iris technology is part of Samsung Pass, which allows secure access to services, such as our banking app, just using your fingerprint or iris recognition - so no need for an ID or password.
Iris technology is the most secure form of biometric authentication available today, with 266 unique characteristics compared to 40 for fingerprints. It is also the most user-friendly – one look and the mobile app is ready to use.
“As well as a more customer-friendly approach to identification, iris recognition is also the most secure method of authentication available today. We want our mobile app customers to continue to have a fast, easy-to-use experience; iris recognition delivers that and, when combined with our other security measures, an unparalleled level of cyber security.
“Our new banking platform, Proteo4UK, allows us to accelerate our ability to make banking better for all UK consumers and I can’t wait to continue to surprise and delight our customers with new technology like this. Introducing Samsung’s iris technology to our mobile app is one example of what we can now deliver.”
And this sort of digital innovation is getting us noticed.
And to top it off, we’ve been nominated for a Financial Innovations Award too. We’ll find out the results towards the end of the year.
We’ve got a lot more planned on our journey to a more digital future. And over the coming months you can expect to see more things that will make banking even better, safer, faster and easier for our TSB customers. So make sure you keep an eye out.