The document discusses the importance of data quality and address management. Poor quality customer data can cost businesses billions each year through reduced profitability, growth and competitiveness. Address errors like misspellings, missing elements, and duplicates impact customers through poor service and delivery failures. These issues damage brands and increase business costs. The document recommends reviewing data processes, setting improvement objectives, and implementing strategies like address verification and formatting to prevent errors and their negative effects.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
How to Get CNIC Information System with Paksim Ga.pptx
Data & Marketing Analytics Theatre; Address Quality Management - The dos and don'ts of domestics and international address and data quality management
1. Addressing Data Quality
The dos and don'ts of domestic and international
address and data quality management
Laura Fovargue – Regional Sales Manager
Capscan Ltd
2. Address & Data Quality Solutions
Agenda
• Importance of Data
• Name and Address Data Errors
• Impact of errors on customers?
• Damage to your organisation
• How can these issues be prevented?
• Case Studies – Forever 21
• Top Ten Tips
• Summary
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 123 3577 29
3. Address & Data Quality Solutions
Importance of Data
• The quality of customer and address data determines the
success of your organisation
• It has a huge impact on business
• Profitability
• Growth
• Competiveness
“Poor quality customer data cost U.S. businesses $611 billion a
year”
The Data Warehousing Institute
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 123 3577 29
4. Address & Data Quality Solutions
Importance of Data
Research shows:
Source: Data Quality Survey, Graham Rhind & Capscan Ltd
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 123 3577 29
5. Address & Data Quality Solutions
Name & Address Data Errors
Mis-spelt details Badly formatted address details
Structural Name and Address Errors Missing elements
Duplicates Vanity Addressing
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 123 3577 29
6. Address & Data Quality Solutions
Name & Address Data Errors
p turner Mr Paul Turner
Fishponds Road ,Hitchin Ivy Cottage
Herts Fishponds Road
SG5 1NS HITCHIN
Herts
SG5 1NR
X
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 544 5844 25
7. Address & Data Quality Solutions
Name & Address Data Errors
12 Via Massa Via Massa 12
Florence
50142 50142 FIRENZE FI
X
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 544 5844 25
8. Address & Data Quality Solutions
Impact of Errors on Customers
It’s Personal!
• Customer does not feel valued
• Poor perception created
• Personal reaction
• Loss of confidence
• People always remember the errors – hygiene factor
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 123 3577 29
9. Address & Data Quality Solutions
Impact of Errors on Customers
Service and Delivery do not live up to client expectations
• Delay in payment
• Miss-deliveries
• Time spent waiting for replacement goods
• Inefficient/inappropriate customer service/complaints
response
• Poor customer experience
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 544 5844 25
10. Address & Data Quality Solutions
The scale of the delivery problem?
• Royal Mail states that 14,560,000 letters are lost or
substantially delayed every year
• Postwatch said loss figures were "much higher" in reality
8 million letters a day - no postcode or an inaccurate one
• Royal Mail destroys on average 25 million undeliverable
letters, packets and parcels each year
• In the last 6 years, they destroyed 152 million items of post
that could not be delivered or returned to sender - the
majority were business mail!
Postwatch & Royal Mail
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 544 5844 25
11. Address & Data Quality Solutions
Damage To Your Organisation
• Poor perception created
• Loss of confidence - Damage to Brand
• Additional costs associated with miss-deliveries and customer
complaint handling
• Less repeat business
• Reduced customer loyalty
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 544 5844 25
12. Address & Data Quality Solutions
How can these issues be prevented?
• Review and Audit Data Processes and Issues
• Who is responsible for customer data?
• Board and senior management buy-in essential
• Set Objectives for Improvements
• Select suitable strategies for each business data area
• Agree targets
• Measure and review progress
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 123 3577 29
13. Address & Data Quality Solutions
Review Data & Data Costs in the Business
INCOMING INTERNAL OUTGOING
Data from Acquisitions
Prospecting Lists
Contact/Call Centres
Product Deliveries
Customer Services
Parts Shipping
Store/Branch Users
Website Info Requests Direct Marketing
Web Shop Promotional Mailings
Invoicing
General Correspondence
Customer/Sales Analysis Location Intelligence
Field Representatives Customer Profiling Route Planning
SMS/Text Campaigns Business Decisions GIS On-site Engineers
Compliance/Blacklists
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 544 5844 25
14. Address & Data Quality Solutions
Front-end Touch Points
INCOMING Options for capturing more accurate data in multi-channel management
4) Ensure data entry screens are well designed, clear, and simple
Consider - Mandatory Fields
Contact/Call Centres - What countries need to be considered
Customer Services - Local salutation options
Store/Branch Users
- Individual fields for individual elements
- Basic Data Validation
6) Implement Address Verification Functionality
Website Info Requests
Options Include - In-house software for data capture
Web Shop - Hosted address verification services
Consider - Datasets required now & in the future
8) Implement Name and Salutation formatting technology
Field Representatives
SMS/Text Campaigns
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 544 5844 25
15. Address & Data Quality Solutions
Existing Data Maintenance
INTERNAL Options for reviewing existing customer information
4) Data Audit – Current Accuracy Levels
Data from Acquisitions
Prospecting Lists
7) Manual Data Correction – Very low data volumes
10) Batch Name & Address Cleansing Tools
- Verify, cleanse, & format historic data
- Apply postal authority data updates
- Enhance data
13) Batch De-Duplication Tools
Customer/Sales Analysis Location Intelligence
Customer Profiling Route Planning
Business Decisions GIS
Compliance/Blacklists
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 544 5844 25
16. Address & Data Quality Solutions
Case Study – Forever 21
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 123 3577 29
17. Address & Data Quality Solutions
Case Study – Forever 21
•The Background - Forever 21is a •The Problem - The success of Forever
specialty clothing and accessories retailer for 21’s new website hinged not only on offering
women, men and children with a reputation the latest fashions at the right price, but also
making the hottest fashion trends available to in making the online experience enjoyable and
easy to buy from, for the savvy, stylish
customers at great value. The company is consumer.
headquartered in Los Angeles and operates
over 480 stores worldwide. •A crucial part of the online purchasing
process is making the final transaction at the
•In retail today it is just as important to have checkout as simple and straightforward as
possible, reducing the time it takes to
strong presence online. According to Mintel
£4.3 billion worth of clothes were bought complete the transaction.
over the Internet in 2010, a growth of 152% in
the last five years, with over a third of •Forever 21 had a tight schedule and needed a
software solution that could be fully integrated
consumers having bought in the past year. into their ecommerce site, to ensure every
customer address is rapidly validated at the
• With the explosion in demand for point of entry.
consuming fashion online; a new ecommerce
site would be instrumental in establishing the •Having considered a number of different
Forever 21 brand in the UK. options, Forever 21 selected Capscan’s web-
based address management software –
Matchcode Webnet.
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 123 3577 29
18. Address & Data Quality Solutions
Case Study – Forever 21
• The Benefits – Capscan’s solutions could provide validation for both UK and
European addresses.
• When a customer visits Forever 21’s website and has finished filling their shopping
basket, they navigate to the checkout and sign-in if they are an existing customer,
or register their details as a new customer.
• When prompted on the online form, they simply enter a postcode or partial
address and Matchcode Webnet instantly provides the customer with a drop
down list of addresses associated with that postcode.
• Upon selection of the address, the relevant fields in the order form are populated
with the customers full and correct postal address, which has been validated
against the Royal Mail’s PAF file of 28.2 million UK addresses.
• The addressing solution ensures Forever 21’s customer database is populated with
only accurate and clean address information which ensures the products are
delivered on time and to the right address, and enables them to correspond and
market to their customers.
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 123 3577 29
19. Address & Data Quality Solutions
How It Works
In the address fields of the
contact form, simply enter a
postcode (or partial
address)
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 123 3577 29
20. Address & Data Quality Solutions
How it works
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 544 5844 25
21. Address & Data Quality Solutions
How It Works
Matchcode will complete the
address fields and return a
full and valid address
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 544 5844 25
22. Address & Data Quality Solutions
How It Works
It can also provide you with
information like the
telephone number, SIC
code, and D-U-N-S
number…
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 544 5844 25
23. Address & Data Quality Solutions
How It Works
And other useful information
like health and local
authority details and
geocodes etc…
Additional Data Include:
- Business data by D&B®
- Names Data Verification
- Geographical Information
- Ward Codes/ name
- Constituency information
- Local Education Authority
- MP Names
- European Electoral Region
- Primary Care Trust
- Primary Care Group
- District Health Authority
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 123 3577 29
24. Address & Data Quality Solutions
Top Ten Tips For Data Quality
• Regard data quality as a vital aspect of your e-Commerce, CRM, and DM
programme
• Establish clear aims and objectives for quality management programme with
management buy-in
• Consider the data elements of your database and how things are recorded
• Parse, standardise, validate and augment data
• Conduct data audits and measure the quality of your data with regular
cleansing
• Collect good data in preference to correcting bad data
• Keep track of cost and ensure your data is compliant
• Adopt cutting edge tools and technologies
• Measure and review your programme of changes
• Use Capscan’s DQM Solutions
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 544 5844 25
25. Address & Data Quality Solutions
In Summary
• Inaccurate name and address data can have a significant
impact on customer retention, customer experience, and
repeat orders
• An organisation need to have a DQM strategy, but should be
considered in relation to its corporate strategy
• Review & Audit of existing processes and data is vital
• Name and address management technology can help ensure
accuracy of data at point of capture or in a batch
environment
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 544 5844 25
26. Address & Data Quality Solutions
In Summary
• Key benefits to resolving data issues
– More timely deliveries
– Reduced costs associated with returns
– More automatic credit card approvals
– Improved Single Customer View
– Improved Customer Experience
– Improved customer satisfaction with fulfilment and
support
– Drive loyalty, customer retention, and repeat business
– Maintain and increase revenue and profits
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 123 3577 29
27. Address & Data Quality Solutions
Thank you for listening!
Any questions?
Capscan can help you with your UK and
International customer data issues
Please visit us at stand G46 for further
information and a copy of this presentation.
Capscan Limited
Grand Union House, 20 Kentish Town Road, London NW1 9BB United Kingdom
Registered in England No. 01183941 VAT No. GB 123 3577 29