CDQ

CDQ

IT-Dienstleistungen und IT-Beratung

St. Gallen, St.Gallen 4.135 Follower:innen

Sharing Data Excellence

Info

We deliver 100% data quality with zero manual maintenance for data-driven organizations. 🍒 𝗛𝗼𝘄? ➡️ Powered by sharing ➡️ Enabled by software solutions ➡️ Supported by research By automating business partner data management processes, you can avoid the error-prone manual work of creating and maintaining data. We support your business partner master data activities from data assessment, normalization, merging, and quality assurance to fraud prevention, bank account trust scoring, and sanctions checks. We emerged from the University of St. Gallen in Switzerland and are a proud global pioneer in data sharing with more than 18 years of data management expertise. 🍒 𝗪𝗵𝘆 𝗰𝗵𝗼𝗼𝘀𝗲 𝗖𝗗𝗤? With CDQ, you access the world of external business partner data (+70 external registers and premium data sources available on our CDQ Cloud Platform) and a gateway to connect to any business application (e.g. SAP MDG) with a set of more than 2500 ready-to-use data quality rules. In partnership with market leaders, we deliver master data automation for intelligent enterprises, offering a seamless integration for accessing accurate business partner information. ➡️ Our solution CDQ First Time Right has been officially endorsed by SAP. ➡️ Gartner’s Magic Quadrant recognized CDQ approach in the Interenterprise MDM category. ➡️ CDQ solutions offer a high level of customization, featuring a rule-based engine and adaptable APIs that you can effortlessly integrate directly into your existing ERP, CRM, and SRP systems. Leading global enterprises, such as Bayer, Tetra Pak, Nestle, and many more Global Fortune 2000 companies rely on CDQ software solutions to better solve data challenges and benefit from exchange of best practices within the CDQ Data Sharing Community. Experience the difference with CDQ and unlock the full potential of your master data management!

Branche
IT-Dienstleistungen und IT-Beratung
Größe
51–200 Beschäftigte
Hauptsitz
St. Gallen, St.Gallen
Art
Kapitalgesellschaft (AG, GmbH, UG etc.)
Gegründet
2015
Spezialgebiete
Data Management Consulting, Data as an asset, Data Governance, Stammdaten Management, Data Management, Daten Management Training (CDQ Academy), Data Management Expert Community (CC CDQ), Data Strategy, Data Quality, MDM, DQ, DataQualityManagement, Stammdaten, Data Enrichment, Data Sharing, Datenmanagement Beratung, Datenqualitägsmanagement, Data quality as a service (DQaaS or DQSaaS), Data Quality Tools, Data Cleansing, Data Validation, Data Standardization, Adress Cleansing, Fraud Prevention, Data Sharing, MDM und Data Quality Tools

Orte

Beschäftigte von CDQ

Updates

  • Unternehmensseite von CDQ anzeigen, Grafik

    4.135 Follower:innen

    👻 Things you don’t want to meet on your migration path (not just on Halloween) 🎃 Migrating to SAP S/4HANA can sometimes feel like stepping into a horror movie. From creepy duplicate records to a relentless zombie horde of legacy data, it’s no wonder many transformation projects face unexpected scares along the way! But here’s the good news: overcoming these spooky challenges doesn’t require a séance or an exorcism. Let’s take a look at three common (and frightening) data issues you might encounter on your migration journey: 👭 𝐃𝐮𝐩𝐥𝐢𝐜𝐚𝐭𝐞𝐬 👭 Duplicate records can be as unnerving as the twin girls from The Shining. They may seem identical, but just like those girls, they can lead you down the wrong hallway (of data) if you’re not careful. With just enough differences to give you chills, resolving these duplicates takes a masterful touch in MDM to avoid turning your data nightmares into a permanent fixture! 🧟 𝐋𝐞𝐠𝐚𝐜𝐲 𝐃𝐚𝐭𝐚 🧟 Legacy data resembles the never-ending zombie horde, shambling along and slowing down everything in its path. It’s vast, relentless, and harder to eliminate than you’d think! Without a clear plan for handling this horde, your system might become overrun, dragging performance and efficiency straight to the data graveyard. 👹 𝐍𝐨 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐢𝐳𝐞𝐝 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 𝐟𝐨𝐫 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫/𝐕𝐞𝐧𝐝𝐨𝐫 𝐂𝐫𝐞𝐚𝐭𝐢𝐨𝐧 👹 Without standardized processes for creation, your data becomes like Dr. Frankenstein’s monster: a stitched-together entity of mismatched and inconsistent parts. Initially misunderstood, this “monster” of unstructured data can wreak havoc across your system, creating operational nightmares. If left unchecked, it can turn into an unruly beast, haunting your SAP landscape with chaotic data issues. To turn this horror show into a smooth migration journey, check out our SAP S/4HANA migration whitepaper! It’s packed with tips, tricks, and expert recommendations to make your migration…stress-free (and ghost-free) 👻. Whether you’re in the planning stages or knee-deep in migration tasks, these insights will help you transition from "Nightmare on Data Street" to streamlined transformation. And remember: there’s nothing scarier than a poorly managed data system. So let’s keep the tricks for the night and the treats for your data! 🍬 Ready to stop running from your data demons? Get the whitepaper here: https://lnkd.in/d-keacFU --- We are CDQ 🍒 Helping you to keep you data monsters at bay! #datamigration #deduplication #s4hana

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  • Unternehmensseite von CDQ anzeigen, Grafik

    4.135 Follower:innen

    The shocking truth is that companies are pouring in millions of Euros and often dedicating as much as 5 years to S/4HANA migrations. But here‘s the catch: 🚨 If your data isn‘t set for the transformation, you might as well be burning your money! 🚨 You expect SAP S/4HANA to be lightning-fast compared to R/3, but speed without precision is simply fast in the wrong direction... Today, financial controllers are caught up in an endless loop: initiating a laborious SAP transaction, generating a report, downloading it, wrestling with manipulations to fix the erroneous data, and finally, presenting it to the CFO. But in S/4HANA, it‘s all built-in by design – numbers are ready at your fingertips, and your CFO can access real-time data through the Fiori dashboard. However, the reports are still inaccurate because the input data is flawed. And if your data isn‘t clean from duplicates, all the game-changing potential of SAP S/4HANA goes to waste. Will you take the risk or play it smart? --- We are CDQ 🍒 Helping you to manage your business partner data smarter! #dataquality #datadeduplication #saps4hana

  • Unternehmensseite von CDQ anzeigen, Grafik

    4.135 Follower:innen

    With more than 80% of customers created first time at Nestlé, the data is assertive with the good or perfect data quality 👌 The consequence? A very clear 14% cost reduction per transaction, thanks to the automation trusted data entry. Curious to learn, how the food industry top player made it happen? Watch the full story ➡ https://lnkd.in/dj_wfnEa And calculate your savings now ➡ https://lnkd.in/dMrCwkV2 --- We are CDQ 🍒 Helping you to manage your business partner data with trust! #dataquality #masterdatamanagement #MDMautomation

  • Unternehmensseite von CDQ anzeigen, Grafik

    4.135 Follower:innen

    In partnership with SAP, we are committed to advancing automation in master data management with a focus on two core pillars: ➡ cutting-edge technology and➡ trusted data. And the more trusted business partner data, the more benefits MDM automation can offer. (Read on and grab a real-life example of business partner master data automation implemented in less than 6 months at a global technology company specializing in energy, transport, and paper solutions) ⬇ ⬇ ⬇ ⬇ ⬇ --- We are CDQ 🍒 Helping you to manage your trusted business partner data smarter! #sapmdg #automation #trusteddata

    Trusted business partner data and MDM automation

    Trusted business partner data and MDM automation

    CDQ auf LinkedIn

  • Unternehmensseite von CDQ anzeigen, Grafik

    4.135 Follower:innen

    Why carry poor-quality data into your new SAP S/4HANA system? Get ahead of your migration challenges with our free white paper, so you can boost your data management, speed up your processes and bring a smile to decision-makers' faces - making the most of the new system. Discover key strategies to ensure your business partner master data is clean, accurate, and ready for a smooth transition. What you’ll learn: ✨ Proven best practices for a seamless S/4HANA migration ✨ A step-by-step guide to efficient data deduplication with CDQ ✨ Expert tips to save both time and money during the process ✨ Confidence to tackle your migration without the headaches Don’t wait! Access the white paper and start your hassle-free migration with more trust: https://lnkd.in/d-keacFU --- We are CDQ 🍒 Helping you to manage your business partner data smarter! #datamigration #deduplication #s4hana

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  • CDQ hat dies direkt geteilt

    Profil von Christian Wagenlechner anzeigen, Grafik

    Lead Product Manager Risk and Compliance at CDQ

    Mastering your Business Partner Data can lead to significant improvements across your entire organization. In my latest blog, I highlight how accurate and well-maintained data supports better decision-making, smoother operations, and long-term growth. With CDQ’s solutions, your data remains up-to-date and integrated seamlessly into your systems, helping your business run more efficiently. Not only in Master Data Management but across your organization. Explore how continuous data management can positively impact your company’s success. Read more! https://lnkd.in/eikXGFwY #masterdatamanagement #masterdataupdates #observability #datagovernance #duplicatedetection #datasharing

    Real-time data management: why accurate business partner data can’t wait | CDQ

    Real-time data management: why accurate business partner data can’t wait | CDQ

    cdq.com

  • Unternehmensseite von CDQ anzeigen, Grafik

    4.135 Follower:innen

    At PUMA Group, innovation isn’t just about cutting-edge sneakers or athletic prowess: it’s about staying agile and proactive in every aspect of business, including data governance. During the recent CDQ Data Sharing Community Workshop, Jonas Gubo, responsible for governance processes at PUMA, shared some incredible insights into how PUMA uses their in-house tool to make sure their data processes are as bold and flawless as their iconic designs. 🏆 From seamless tax ID checks to automated fraud prevention, PUMA has partnered with CDQ to ensure their business partner data remains accurate, safe, and ready to power global operations. What’s most inspiring? This isn’t just about achieving perfection overnight: PUMA understands that data quality is a journey, not a sprint. 🛤️🏃♀️ As Jonas said, "It’s not about cleaning all our data overnight; it’s about making it cleaner with every use." For data professionals, this story is a masterclass in staying agile, automating smartly, and always aiming for continuous improvement. Read more: https://lnkd.in/eEfc3qYY --- We are CDQ 🍒 Helping you to manage your business partner data with trust! #dataquality #masterdatamanagement #datagovernance

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  • Unternehmensseite von CDQ anzeigen, Grafik

    4.135 Follower:innen

    Master data cleansing usually means wading through endless tables and systems, getting buy-in from multiple business processes, all to establish standards, priorities, and who's responsible for what. And if you're thinking about applying specific data cleansing services, they often lack the flexibility to handle those unique business needs and the fuzzy logic that comes with it. ⬇It's time to enjoy a hassle-free clean-up ⬇ Grab these quick tips from our Solution Architect Christian Käsler and visit us for more details: https://lnkd.in/dXyR5v32 --- We are CDQ 🍒 Helping you to manage your business partner data with trust! #DataQuality #MasterDataCleansing #MasterDataManagement

  • Unternehmensseite von CDQ anzeigen, Grafik

    4.135 Follower:innen

    👉 Data quality is a measure for the suitability of data for specific requirements in your business processes. 👉 A low level of data quality will reduce the value of the data assets in the company because its usability is minimal. Data quality characterizes the degree of how given data objects satisfy the needs of consuming business processes. In a broader sense, it refers to both the quality of data content as well as the performance of the underlying data management processes. 👉 Additionally, data quality measurement gives you transparency and enables to monitor the compliance with regulatory requirements. At CDQ we believe that high data quality is synonymous with data excellence and we’re on a mission to make your data quality thrive. Curious about how we can help your team achieve fast, sustainable improvements in data quality? ➡ Grab your data quality cheat sheet and let's chat! --- We are CDQ 🍒 Helping you to manage your business partner data with trust! #dataquality #masterdatamanagement #dataexcellence

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