Dataversity

JUNE 14, 2024

The emergence of new technologies, including AI, IoT, and blockchain, in addition to the widespread embrace of digital transformation, has driven a dramatic increase in data. The reliance on data analytics to drive data-driven decision-making also requires large volumes of data for meaningful insights. While AI and generative AI (GenAI) tools and systems contribute to […] The post Data Retention Policies Must Evolve to Address Emerging Technologies and Data Growth appeared first on DATAVER

Digital Transformation 182

Digital Transformation Data Analytics Data Analytics Digital 182

Agile Connection

JUNE 14, 2024

While Agile development embraces flexibility, it does face some hurdles. Users may cling to the familiar, oversimplified software lacks user control, and remote meetings might hinder collaboration. User feedback may be vague, and new software lacks an initial user base. Solutions inculde user voting, prioritizing user needs, and leveraging feedback from related software.

Agile 59

Agile 59

Clarasys

JUNE 14, 2024

Dive into the transformative world of in-house change management to discover the power of community, the importance of people-centered leadership, and how to sustain change initiatives without extensive resources. The post Driving transformation: in-house change management strategies from Women In Change – PODCAST appeared first on Clarasys International Business Consultancy.

Change Management 52

Change Management 52

Astera

JUNE 14, 2024

The way that companies govern data has evolved over the years. Previously, data governance processes focused on rigid procedures and strict controls over data assets. But now, with the data-driven culture, modern enterprises are adopting an agile approach toward data governance that primarily centers around data accessibility and empowering business users to take responsibility for governing and managing data.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

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Astera

JUNE 14, 2024

Automated data governance is a relatively new concept that is fundamentally altering data governance practices. Traditionally, organizations have relied on manual processes to ensure effective data governance. This approach has given governance a reputation as a restrictive discipline. But, as organizations increasingly adopt automation in their governance processes, this perception is changing.

Data Governance 40

Data Governance Government Data Quality Data Discovery 40