January 2, 2020

Analytics as a Product: SAFe in Numbers

by By: Great Data Minds in Chronicles

Digital transformation is disrupting every industry across the globe. In 2019 (and beyond) every company is in the software business, especially in the Business Analytics space. Agility is not an option, it is a business imperative. Enterprises must learn how to adapt and evolve quickly to increasingly rapid changes in technology capabilities, government regulations and economic conditions to avoid extinction. Companies that embrace this urgency to adapt quickly AND change the way they work will succeed. Thriving digital-age businesses continuously deliver high-quality, innovative and competitive data & analytics-enabled solutions to their customers (and internal stakeholders) in the shortest sustainable lead time. These are Lean Enterprises. Lean Enterprises get results:
· 10 – 50% happier, more motivated people
· 30 – 75% faster time-to-market
· 25 – 75% defect reduction
· 20 – 50% increase in productivity
The Scaled Agile Framework (SAFe®) for Lean Enterprises is the world’s leading framework for achieving enterprise agility. SAFe® for Lean Enterprises is a knowledge base of proven, integrated principles, practices and competencies for Lean, Agile and DataOps. SAFe® is perfect fit for Enterprise Data & Analytics Programs of any size.

Please join Mike Lampa, Great Data Minds Advisor, for this collaborative session (no slides here). Mike will present his case for the use of SAFe for data & analytic programs, the benefits and how to get started.
About Mike Lampa

Mike Lampa works with enterprises to transform their Analytics Programs to stay current and relevant with the latest business models, disciplines, regulations, techniques, analytic innovations and technologies in the rapidly evolving Modern Analytics market. Taking a holistic approach that focuses on the impacts on culture, people roles and business/technical process aspects as well as the selection and implementation of enabling modern technology tools and platforms and tactical migration roadmaps, Mike mentors and guides the enterprise towards a smooth transition to increase the Analytics Program value. Over 23 years Analytics practitioner experience both as a consultant and an employee in Global 100 enterprises with domain knowledge in Banking & Financial Services, Industrial Manufacturing, High-Tech Manufacturing, Telecommunications, Oil & Gas, Retail and Consumer Packaged Goods industries.

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