Tag Archives: Data Quality

Mastering GDPR – Master Data Management is your first step

When it comes to the European General Data Protection Regulation (GDPR), many companies appear to be paralyzed. Although the regulation comes into force in May 2018, many have not yet even begun to implement the new guidelines. It appears that the requirements are too great and too far-reaching, and it’s therefore very difficult to take the first step. The GDPR sets out fundamental changes in the management of personal data: Its primary focus is the storage and use of data, as well as consent from the individual. In future, every company that manages or stores personal data of EU citizens must know what data is stored where and how exactly it is used. In addition, the consent of the data owner (the person affected) for precisely this storage and use must be verifiable and the data correct.
Anyone not fulfilling the requirements can expect staggeringly high fines of up to 4% of the company’s turnover or 20 million euros.

Poor data quality causes costs in various business divisions.

Poor data quality causes costs in various business divisions.

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Informatica EMEA Data Governance & Compliance Summit

At present, Data Governance and Compliance are the subject of particular attention due to the upcoming General Data Protection Regulation (GDPR). On the EMEA Data Governance & Compliance Summit Informatica presented their software solutions to support customers with the GDPR regulations, data quality and data security. Furthermore, the attendees gained great insights by presentations of Best Practices from Informatica customers.

Informatica EMEA Data Governance Comliance Summit 2017

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Talk to me – Bots in customer communication

The interactive future of digital commerce and its master data requirements

Interactive shopping – on the internet. Two things that, at first glance, are difficult to combine. E-commerce platforms and users/customers usually interact “statelessly”.
Many websites are already offering their customers ways to interact with a customer service team and ask questions through hotlines and live chats. These services are usually labour and cost-intensive. Thus, they are often limited to very expensive and complex products and services. Bots are going to change that.

Conversational Commerce: Getting in Touch whenever and whereever you are

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Predictions 2017 – Processes, organization and data: We do not need to look into the crystal ball!

Just before Christmas is traditionally the time when industry colleagues and market criers throw around predictions. Of course we, the experts, have to be part of it, too. A quick survey among our colleagues showed that the issues and technologies we will deal with in our customer projects don’t really require a gaze into the crystal ball. Our customers and we are already working on topics and areas that, for most people, will be only be relevant in the near future.

Lightning Surveys - Predictions 2017: Processes, Organization and Data - these topics will concern our customers and us in 2017.

These are, in a nutshell, our new and old themes for 2017

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Top quality data: Training programme to become a certified GS1 Data Quality Manager

In 2017, GS1 Germany will again offer an in-service training programme in six modules to become a “Certified GS1 Data Quality Manager”. Experts from the industry will provide more in-depth knowledge about selected topics. parsionate will support this excellent training programme again: Michael Weiß, Head of Business Consulting, will be one of the invited speakers from industry.

Training programme to become a certified GS1 Data Quality Manager

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Impress your customers with perfect Information Logistics!

parsionate is your partner for Omnichannel Commerce: comprehensive consulting, deep knowledge in the leading software solutions, successful implementation and application management. Meet us at #dmexco

parsionate at dmexco 2016 - impress your customers with perfect information logistics!

Why good data is the key to success in e-business

In this fast-paced, digitized age, your customer wants, more than ever, to be put first. Whether B2C or B2B, your customer expects a seamless experience across all channels. The key to it is high-quality master data.

The “modern” consumer expects you to know him – his preferences, his purchase history. He expects you to know exactly what suits him. Whether it be an attachment to his machine or trousers that match his shirt. But in one respect consumer behaviour has not changed, despite digital transformation. Before buying, customers want questions to be answered. They expect, whether online or offline, informative pictures or graphics, detailed descriptions, comprehensive information about the quality of products and preferably some videos, reviews and references. How many questions your customer may have and what is, in his opinion, “comprehensive” and “detailed”, depends on the individual, but also, strongly, on the product itself. However, except for low-cost items, the following is true for all products: if the customer notices missing or incorrect product information, he will not purchase them.

5-reasons_Master-Data

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Informatica World Tour 2016 Switzerland #IWT16

Yesterday the conference about “All Things Data” took place in Zurich. In their opening Dirk Häussermann and Oliver Schröder aroused the audience’s curiosity about the following presentations by explaining the aim of the event: To map the happenings in the world with stories about what Informatica is doing.

In their opening Dirk Häussermann and Oliver Schröder aroused the audience’s curiosity about the following presentations by explaining the aim of the event: To map the happenings in the world with stories what Informatica is doing.

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Measuring the ROI of Product Data Quality – Dynamic Investment Appraisal (part 3)

In the first two articles of this series we discussed what steps need to be taken in order to be able to calculate the ROI of product data quality. This part will focus on how to define ROI metrics based on the previously outlined technical metrics to prove with hard figures if data quality will be benefiting the business and whether it will be worth the investment.

ROI von Produktdatenqualität – Anwendung der dynamischen Investitionsrechnung

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Measuring the ROI of Product Data Quality – Project approach (part 2)

In the first part of this series of articles about the “ROI of Product Data Quality” we talked about data quality and the reasons for its increasingly important role. This part will focus on parsionate’s general approach in DQ projects – prerequisites that are necessary in order to be able to reliably measure the ROI of product data quality.

ROI_DataQuality_Teaser
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