Cars, trucks, even ships these days can drive themselves, thanks to a confluence of innovations in artificial intelligence and automation. So, why not data management? The truth is, we're already there. As most data managers and scientists know, many of the steps in preparing data can be automated; the challenge often occurs where rubber meets road. How can you excel?
Offloading and moving data to the cloud often results in a hybrid cloud architecture, with data residing in different locations. Watch this webinar to learn how to extract business insights and keep your critical data under control, governed, and trusted by users.
It’s commonly known that successful digital transformation relies on access to trusted data. But how do you move from having data to trusting it? Watch this session to see how the Ataccama ONE platform + VIQTOR DAVIS guidance and partnership gives each step of your data management journey a purpose, ensuring transparent, tracked, and reported results throughout.
New to the practice of data quality, or looking to brush up on some fundamentals? Gearing up for a data quality project and ready to increase your know-how, even before you start? Watch this fast-paced and fun session to improve your foundational knowledge of data quality.
Get your free copy of the report to learn why Ataccama was named the Master Data Management vendor with the happiest customers.
The Information Difference conducted research into 140+ data governance programs across a range of verticals. Watch this webinar to learn what makes enterprise data governance programs successful, how your own data governance practices match up, and where you can improve these practices.
Smart data management and governance helps move businesses forward by empowering decision makers with high value analytics. Watch the webinar with Microsoft, Adastra, and Ataccama as we review step-by-step how to launch AI-driven data management and governance for clean analytics.
Watch this webinar to learn how automation and AI can help streamline data governance activities, such as data cataloging and data quality.
Business and data leaders are bracing for a post Covid-19, ever-more digital and competitive world. Replay our webinar to learn how to respond with a smart and agile customer MDM, and to gain insight into your customers through mastered, validated and enriched data.
Finding valuable insights in your data is not simply a matter of having vast quantities of it available, but of being able to find the right data when you need it. From business term suggestion, relationship discovery, and anomaly detection to data quality and MDM optimization, the use of AI in data management helps stem the tide of data chaos and ensures that your data is orderly, correct, and easy to find.
Building a data management infrastructure has always been a long, complex, and expensive undertaking. So what can reduce the time and cost of implementing or improving comprehensive data management in your organization?
Is your organisation utilising data to achieve its full potential? How can your business better leverage its data assets? Join to hear TRA Asia Pacific Research Director Trevor Clarke outline five business opportunities which can deliver considerable benefits across any industry or location.
Learn how data preparation and a data quality improvement functionality integrated with a data catalog can drive business innovation for agile teams, give business users fast access to high quality, relevant data, and enable them to enhance and operationalize their solutions for future use.
Governments around the globe are reliant on data to make smart decisions around reopening the economy quickly and safely after the impacts of Covid-19. These are extremely challenging decisions to make, and likely will need to be recalibrated on a continuous (rather than one-time) basis. In many cases, however, the data being used is unreliable. The situation calls for a coordinated, data-driven approach by governments.
Read this blog post to see how a data catalog can accelerate data discovery, data preparation, and operationalization of data quality solutions.
Governments around the globe are operating with incomplete, inaccurate, and duplicate Covid-19 data. Robust data management principles and processes are necessary for smart quarantine, more accurate analyses of the Coronavirus, and more informed decisions about reopening economies around the world.
Commercial success of AI and ML projects is necessarily dependent upon sound data quality strategies. In this webinar we will discuss emerging use cases in Financial Services and FinTech that are undergoing a digital transformation through AI powered technologies. We will articulate how Ataccama and Loqate solutions empower the interdependence of AI technologies and data quality to deliver enhanced customer experiences that fuel successful commercial outcomes.
Learn through various use cases how companies are taking advantage of lineage to realize these benefits.
The data quality function of a data governance practice focuses on data quality’s dimensions of completeness, validity, uniqueness, consistency, integrity, and timeliness. It represents these to the Data Governance Office in a way that allows for the data to be evaluated for exposure to data quality issues, from both the technical and business perspectives.
Is your organisation utilising data to achieve its full potential? Download our whitepaper by TRA Asia Pacific Research Director Trevor Clarke to find out five business opportunities which can deliver considerable benefits across any industry or location.
If cars can drive themselves, why can't data management? Artificial intelligence can now facilitate the classification and processing of metadata, leading to remarkable gains in efficiency, quality and speed. Find out more in this webinar.
Trusting your data means understanding its lineage. We’ve recently announced a partnership with MANTA to enrich our ‘self-driving’ data management platform with data lineage and bring its capabilities to both business and technical users.
Data Quality Management doesn't have to be rocket science. Replay our 30-minute webinar to see how you can deploy a DQ monitoring solution from your browser in a matter of days.
Read this blog post to learn what augmented data lineage is and how business and analytical roles within enterprises can use it to find data and perform root cause analyses faster while avoiding corporate red tape.
Watch this webinar to learn how to maintain reference data centrally and improve data governance with a single version of truth, and why Excel is not the right tool for this.
Watch this webinar to learn why managing metadata is important, how to get started, how to operationalize metadata for business applications, and why AI is becoming critical for metadata management.
Learn why crowdsourcing should come as step two in data catalog population and how automating metadata capture makes crowdsourcing more efficient.
Read this article to learn how we migrated a client’s metadata management solution to the Ataccama ONE Data Catalog and created an automated process for keeping metadata up to date.
Ataccama implemented centralized consent management and authorization for the bank’s customer data, laying the foundation for GDPR compliance.
Data lakes contain several deficiencies and bring about data discovery, security, and governance problems. Learn how implementing a data catalog can solve these problems.
Discover how Toronto Public Library implemented Ataccama ONE Data Quality Management to modernize data management practices across their library systems.
Learn how Avast engaged Ataccama to deliver a complete customer master data solution to improve their customer experience and ensure compliance with the highest of data privacy standards (such as GDPR).
Discover how our Ataccama ONE platform automates manual and time-consuming tasks and optimizes performance throughout the platform.
Learn how a major banking group effectively implemented a customer data integration and centralized consent management solution with Ataccama.
The specialist insurance and underwriting company tackled data quality challenges to ensure that only high quality data is used for company analysis and regulatory reporting.