Digitization is impacting all organization as they transform themselves into a full digital business to stay competitive – While customers want to engage and transact online and expect a quick and seamless experience. However, many organizations fail to deliver on both counts. For example,
If customers cannot find your products or when they do they are presented with missing or incorrect product information, you will lose the sale.
Challenges & Reality of Commerce (Online & Offline)
• 90% of all shopping cart abandonment happen because customers feel they do not have enough information,
• 40% of all returns are the result of poor product information,
• 65% of consumers find it frustrating to be presented with inconsistent offers, experiences or treatment through different channels when shopping for the same product or service.
This webinar will focus on how to address these challenges and how you can;
• Introducing products faster,
• Reduce the number of returns,
• Generate higher conversion rates,
• Ensure that you are always compliant with regulations,
• Automate your Product Information Data Quality processes.
Join us to hear how to deliver rich, clean and consistent product information that accelerates time to purchase and profit no matter which channel your customers use – And how to extending data quality to the entire customer journey.
While firmly on the regulatory horizon in the EU, IDMP compliance and corresponding ISO standards are intended for global use and will underpin many future regulations. The ultimate goal is to simplify the exchange of information at a national, regional and global level. And this, in turn, should lead to increased regulatory efficiency, and contribute directly to improving patient safety.
But, Life Science companies are struggling to comply with IDMP requirements. It’s challenging because differing departmental vocabularies and pre-existing hurdles thwart even the simplest internal exchange of information across business and data silos.
Join Informatica, the industry leader in all things data, for a webinar showcasing industry best practices for laying a strategic data foundation for IDMP compliance. You will learn about:
• Best practice for a single authoritative, trusted view of substance, product, organization and reference data
• Key capabilities for the automation of data quality tasks:
o Discover anomalies in your data
o Generate data quality scorecards based on business and quality rules
o Validate and standardise your data
o Route records for manual remediation to data stewards.
These days consumers interact with companies across multiple channels—from walking into a physical location to engaging with your website or even calling to make a complaint. Is your customer experience consistent across these channels? Or do these multiple touch points mean multiple consumer experiences?
Join our webinar to learn how you can create a truly seamless omnichannel experience and gain better insights from a single customer view, all through unlocking the power of your data.
Attend this webinar to find out:
• Where the omnichannel dream falls flat
• What role data and its quality plays in omnichannel and the single customer view
• How to address common data collection challenges, through every channel you interact with customers
• How to achieve omnichannel success through better data quality
Like most asset-intensive companies, you experience issues with poor quality asset and maintenance data in your CMMS system. You know you need to fix the issues to optimize your maintenance procedures, but you don't know where to begin. Join us as Paul Peterson and David Hattrick discuss the effects of bad data on the maintenance organization. Discover best practices to help you easily find and fix data issuesRead more >
This webinar is for IT professionals who are curious about Data Quality.
Ivan Wells, Head of Data Management, Bank of New Zealand. and
Kristin Kokie, VP IT Enterprise Strategic Services, Informatica discuss;
· Why IT should care about Data Quality.
· How IT should work with their business colleagues.
· Enlightening Data Quality project moments.
· Advice so you can be a Data Quality hero.
This webinar is all about the Holistic Data Stewardship life cycle, where to start, and how you can build a repeatable, collaborative and easy to use stewardship process.
This interactive session, led by data quality experts, David Lyle and Dominic Sartorio, will focus on the daily routine of a typical data steward and show how Informatica Data Quality 9.6 can help you simplify their life by:
-- Enhancing collaboration between IT and business stakeholders
-- Reducing time to discover data asset relationships and error remediation
-- Accelerating development and deployment of business rules
-- Increasing agility with self-service
Introducing Informatica's Data Quality 9.6 release—the industry’s first data quality product to take the guesswork out of Great Data.
Watch this on-demand session and hear insights from industry experts who have successfully developed and implemented data quality projects. You will learn from their collective experiences and take nuggets of knowledge away for your own data quality initiative.
• Why you should care about data quality and how to best align IT and business stakeholders
• Where to start a data quality project and how to measure the business results
• Lessons learned that you can apply in your data quality project
In addition, you’ll hear from Todd Goldman, VP & General Manager at Informatica, on the great new features in the Data Quality 9.6 release. View this on-demand session today.
Informatica Data Quality V10 UpdateRead more >
For a world obsessed with data, we sure don’t handle it with the care it needs. And when we do, we sometimes go overboard. In this webcast, internationally acclaimed lecturer Rick van der Lans explores the relationship between data quality and business agility, emphasizing the alignment between businesspeople and IT to ensure successful analytics and operations.
- How to determine what data is worth cleansing and governing
- How to align IT and the business to ensure that your data is well-suited for its purposes
- What traps to avoid when implementing a data quality or data governance program
Data Powers Business. Learn in just 10 minutes, about 50 session at Informatica World 2016 in San Francisco. Understand which customer case studies and Informatica sessions will take place on MDM 360 Summit on May 24 and Information Quality and Governance Track on May 25.
Get a quick overview and find out more at www.informaticaworld.com
The Information Age we live in requires organizations to focus more and more on the management and improvement of their data assets. The costs caused by missing, incomplete or wrong data can easily add up to several thousands of Euro. Whereas great data boosts your conversion provable. Easiest example: Your webshop will sell better with a product image than without. At the same time you need to keep the effort manageable, shorten your time to market and ensure the correctness of your data. Efficient processes and high levels of data quality, based on defined rules and a maximum of automation, are the key prerequisites for competitive business models in almost every industry.
This talk gives valuable insight into the usage of Informatica’s leading Data Quality solution embedded into Informatica’s MDM solutions like MDM - Product 360. It is based on parsionate’s proven process and implementation approach for successful project delivery and ensures business process integrity.
• Nicholas Goupil, Product Marketing Manager - Product 360, Informatica
• Michael Weiß, Principal Business Consultant, parsionate GmbH
• Christoph Koch, Technical Consultant, parsionate GmbH
In this video, learn how Informatica’s end-to-end and collaborative approach to big data quality and governance can help deliver sustainable, repeatable, and pervasive business value.Read more >
In this webinar, learn about the new capabilities in Informatica Data Quality 10 and understand how they will improve data steward productivity while also enhancing the enterprise-wide scalability and agility of your data quality programs.
Through the eyes and daily routine of typical data stewards, you will discover how this new release:
. Enhances the collective agility and collaboration between IT and business stakeholders throughout the lifecycle of their data assets
. Helps data stewards visualize and share the health of data assets with exec sponsors and other stakeholders
. Accelerates business rule and business term definition and deployment
. Improves ability to quickly respond and resolve data issues
From the perspective of data architects, developers and other IT practitioners responsible for facilitating enterprise-wide data quality programs, you will learn how this new release:
. Helps keep up with increasing volume, diversity and rates-of-change in their data assets
. Enables applying data quality best practices to next-generation data platforms such as Hadoop and NoSQL
. Facilitates implementing enterprise-wide best practices via reuse, scaling and monitoring of data quality rules and workflows
Watch this webinar to learn how to accelerate and scale your data quality implementations enable your data stewards’ success.
Understanding the path to accurate, trustworthy data is critical to maximising the value of information assets. This webinar will take you on the journey of data quality improvement, outlining the key concepts and explaining the requirements for pervasive data governance and clean data.Read more >
Introducing Informatica PowerCenter 10 and Data Quality 10
Are you struggling to deliver trusted data as the speed your business demands? Join us to see how the newest innovations in data integration and data quality from Informatica can transform your fragmented, inconsistent, raw data into actionable intelligence. From small-scale data integration projects to massive integration across on-premise, cloud and hybrid systems, Informatica PowerCenter 10, Data Quality 10, and Data Integration Hub 10 can help you leverage the power and potential of data. Join us as we introduce the latest updates to our flagship products and demonstrate how you and your team can get to great data when you need it, where you need it.
The live launch event features:
•Anil Chakravarthy, Acting CEO, Informatica
•Philip Russom, Research Director for Data Management, TDWI
•Customer and Partner Panel including Sumit Pande, BB&T; John Racer, Discount Tire, and Jared Hillam, Intricity
•Ash Parikh, VP, Informatica
An increasing number of companies are investing in data quality solutions, but not all are demonstrating return on investment. This leaves organizations at risk for budget reductions to those solutions or ineffective technology.
Join this upcoming webinar to hear the current state of data quality investment and the top three tips for measuring ROI.
Register for this webinar to hear:
•The expansion of data quality tools and the level of investment
•The number of companies calculating ROI
•Three tips for measuring the effectiveness of data quality tools
- Active, bottom-up unbenchmarked asset management is a key source of added value,
- Investments in quality companies offer protection against permanent capital losses,
- Focus on valuation offers protection in volatile markets
- Fundamental investment approach
- Fund update
QFire Software’s approach to Distributed Data Quality provides a framework for its Users to Understand, Collect, Validate, Protect, Monitor and Enrich their data. QFire a relatively new entrant to the data space sits across the data acquisition, preparation and quality areas as a low cost, low impact, simple and easy to use solution. In 2013 Gartner included QFire as a Cool Vendor in its MDM and Information Governance category and has subsequently also included reference to it in its Gartner Predicts for BI and Analytics 2015 report and the Data Quality Magic Quadrant for 2014 as one of the other vendors to be considered.
QFire will deliver a short walk through showing its Distributed Data Quality approach and ability to link to external BI systems using Yellowfin BI.
Chris Bradley continues to lead us through the DAMA DMBoK 'wheel' - this time concentrating on Data Quality ManagementRead more >
According to industry experts at Internet World Business Magazine:
•90% of all shopping cart abandonments happen because customers feel they do not have enough information
•40% of all returns are the result of poor product information
•Data quality problems cost U.S. businesses more than $600 billion per year
For retail and CPG companies, good data quality is one of the most important factors driving success. Everything from single view of products to multi-channel sales to targeted marketing requires high quality data to drive streamlined operations and increased sales.
Essential business functions, including procurement, e-commerce, marketing, executive teams and others must be able to rely on the quality of the data in the product information management (PIM) solution. Without confidence in the currency and quality, systems fall into disuse and ultimately fail. The only way to guarantee that high quality data is used to populate your PIM and ultimately your sales channels is through the implementation of an end-to-end data quality management process.
In this upcoming webinar, join us as we discuss how access to clean, trusted product data, drives profitability, competitiveness and operational excellence for your organization.
Data discovery is dependent on the quality of the underlying data. Visualization and analytics are only as trustworthy as the data behind them. Data quality technologies can systematically improve the quality of data and those who use it in real-time.
In Part 2 of our webcast event, From Good to Game-Changing, you’ll learn how to:
- Integrate data quality practices into the data discovery preparation process
- Use best practices for the data quality lifecycle
- Profile data to discover trends and anomalies in data
- Cleanse, validate, and standardize data with data quality technologies
- Leverage data quality scoring to customize workflows in your enterprise
The Oil & Gas industry is uniquely positioned to take advantage of the vast amount of data from its operations. Thousands of sensors at the well head, millions of parts in the supply chain and global capital projects create a data-rich environment. The common data challenge stems from managing and linking these core data environments so they can be used to support strategic initiatives and daily operations.
For upstream oil and gas executives, the need to achieve operational excellence through quality information has never been greater. Meeting the demand for increased profitability, better well performance and regulatory reporting cannot be accomplished without clean, trusted data.
Informatica Data Quality is a market proven solution to address these information challenges for Oil & Gas operators. For the well lifecycle, Informatica Data Quality is uniquely designed to cleanse and harmonize upstream data to increase your confidence in well lifecycle information, so better decisions can be made toward achieving operational excellence.
In this Informatica webinar, we will demonstrate how Informatica Data Quality can help Oil & Gas companies:
•Identify the anomalies in your well data
•Quickly build business rules to cleanse the well data, navigate the complex relationships between data elements to identify the root cause of an issue
•Proactively monitor the data quality process to address operational problems
Join us today to see how Informatica Data Quality helps you gain access to clean, trusted well data that drives profitability, competitiveness and operational excellence for your organization.
Dominic Sartorio, Product Management
Robert Skot Bayers, Product Specialist
Jie Wu, Product Marketing
Software drives business optimization, and agile software development approaches help drive innovation. Yet managing disparate applications deployed across a range of platforms without consistent agile quality strategies is costly, inefficient, and inherently risky. Effective approaches to agile quality are becoming increasingly vital to success.
Agile development provides tremendous opportunities for efficient, adaptive code creation, yet organizational strategies to manage code quality and agile testing as part of an agile lifecycle remain woefully inadequate. In addition, as mobile, cloud, and social platforms themselves are evolving at an agile pace, complexity increases, adding further quality challenges.
Join IDC analyst Melinda Ballou as she discusses business and development strategies to leverage an agile quality community culture, agile techniques, and automation as the complex sourcing of software creation evolves.
• discuss the benefits and challenges of agile quality adoption
• explain how agile quality and related lifecycle approaches enable speedier and collaborative code creation
• provide visibility into software assets that improve software development and business adaptability
Data quality is the foundation for business intelligence, consumer engagement and marketing efforts. With organizations utilizing data in more ways than ever before, the state of data quality is changing. Experian Data Quality conducted a survey to gain insight into data usage, management methods and accuracy levels. Attend the upcoming webinar to hear the survey results and variances in data management across the globe and different industries.Read more >
The value of data governance is especially acute in the healthcare industry, where data quality can greatly improve patient outcomes, while also lowering costs and promoting better population health. Join our data governance experts as they share 5 keys to building a successful data governance program specifically for those who work in the healthcare industry.
Attendees will learn about:
•The tangible business benefits that you’re missing out on without a strong data governance program in place,
•The 5 keys to building a successful data governance program in your organization that is designed to improve patient outcomes,
•What you need to get a data governance program started on the right foot,
•Pitfalls to avoid, based on the mistakes of others