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?
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.
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.
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.
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.
Learn through various use cases how companies are taking advantage of lineage to realize these benefits.
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.
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.
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.
Learn why crowdsourcing should come as step two in data catalog population and how automating metadata capture makes crowdsourcing more efficient.
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.
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.
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.
Data lakes contain several deficiencies and bring about data discovery, security, and governance problems. Learn how implementing a data catalog can solve these problems.
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.
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.
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.
Узнайте, насколько у крупной банковской группы эффективно реализована интеграция с клиентскими данными и внедрено централизованное решение по согласованию данных от Ataccama.
Специализированная страховая компания занималась проблемами качества данных в целях получения гарантий того, что при анализе деятельности компании и составлении нормативной отчетности используются только высококачественные данные.