Data & Analytics Leadership and Vision for 2019

- Establish a trusted foundation of data management
- Increase the data literacy of all roles in the enterprise
- Scale data and analytics capabilities for the complexity of modern digital business
Watch Now

Spotlight

OTHER ON-DEMAND WEBINARS

How to Gauge Project Feasibility with Rapid Prototyping using Code-First Data Science

Data scientists’ time is valuable. Computing resources are expensive. With only 87% of projects ever making it to production (Source: VentureBeat), organizations often overcommit to costly projects that bear little fruit. Data science teams need a way to assess project feasibility without diving head first.
Watch Now

Unleash The Power Of Data Analytics

As organizations continue to accumulate data from various sources, it is vital to have a plan to use that data constructively. Data analytics uncovers your organization's past story to extrapolate what the future could look like for your organization. Watch the On-Demand Webinar now.
Watch Now

How to Strengthen Enterprise Data Governance with Data Quality

DATAVERSITY

If your organization is in a highly-regulated industry or relies on data for competitive advantage data governance is undoubtedly a top priority. Whether you’re focused on “defensive” data governance (supporting regulatory compliance and risk management) or “offensive” data governance (extracting the maximum value from your data assets, and minimizing the cost of bad data), data quality plays a critical role in ensuring success.
Watch Now

Building a Modern Operational Data Warehouse

tdwi.org

With data coming from so many different sources nowadays (both old and new, both internal and external), it is inevitable that data will arrive in many different structures, schema, and formats, with other variables for latency, concurrency, and requirements for storage and processing. When data types are extremely diverse and combined, we now call it “hybrid data.” This usually drives users to deploy many types of databases and different platforms to capture, store, process, and analyze the data, which in turn results in hybrid data management architectures.
Watch Now