Augmenting BI and Analytics in the Age of AI and Big Data

For most companies, data is viewed as a problem instead of an asset. Data is often stuck in systems that dont talk to each other, manual processes affect data quality, and analytics tools arent providing clear insights. But those companies who use their data to drive business strategy are out-performing their competitors. To be more competitive in any industry, you must take advantage of the ever-growing amount of available data and that starts with a Data Strategy. A documented roadmap that clearly defines company goals and the specifics on how to get there will put you on the path towards data driven decision making.

Metadata Governance is the execution and enforcement of authority over the management of Metadata and other data documentation. Organizations that govern their data documentation find it easier to govern their data as a result. There is direct correlation between the use of Data Catalogs, Business Glossaries and Data Dictionaries and successful governance of data and Metadata. This month’s RWDG webinar with Bob Seiner will focus on governing the use of the mentioned tools and the Metadata that can be managed inside each one. Bob will talk about governing Metadata in existing Metadata resources versus using new tools to handle this function.

Analytics have come a long way – from data warehousing and manual report building to centralised data in the cloud and machine learning driven analytics. Business Intelligence (BI) tools were revolutionary when they arrived: they made analytics more accessible to the wider business users. Their speedy and powerful analytics provided insights that businesses only dreamt off in the past. But as technology advances, so has the analytics world evolved.

As reported in Forbes last year, 73% of companies are planning to move to a fully software-defined data center within two years. A software-defined data center is based on a virtualized environment of compute, storage, networking and security in conjunction with policy-based management and automation. The evolution from a traditional data center architecture to one that is software-defined can take months if not years but can yield immense benefits for the business. Join us for a discussion on the progress toward the fully software-defined data center, including benefits of infrastructure as code and overcoming challenges associated with traditional workflows.