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Tag Archives: Advanced Analytics

Advanced Analytics: 5 Steps to Becoming an Intelligent Organization

No other recent trend has created as much buzz as big data and analytics, especially within the C-suite. By analyzing its data in a structured and smart way, an organization becomes “intelligent” and “insight-driven”, giving it a competitive advantage. This workshop, 5 Steps to Becoming an Intelligent Organization, addresses the most common questions and concerns leaders have when considering launching big data and analytics efforts in their organizations, including:

  • Analytics can create new opportunities and disrupt entire industries; but where and how exactly it can create value?
  • What are the building blocks for launching analytics efforts? I need Analytics 101.
  • Is my organization mature enough for analytics? What are the factors to evaluate? Is there a practical way to assess my maturity for analytics?
  • What are the ways to organize an analytics operating model? Which one is the best suited for my organization?
  • What are some common pitfalls on the journey to analytics? How can I avoid detouring and head straight to business values?
  • Is cultivating a data-driven culture in my organization, as embedding analytics, as much about change management as it is about data science?

The workshop will address all these questions, and more, through lecture, case study, discussion, hands-on assessment, structured brainstorming and other creative techniques. It engages the audiences in an immersive learning environment and inspires them to achieve customized action plans for their organizations.

This is a highly interactive and motivating 1.5-day workshop packed with everything you need to know about analytics as a leader; and up to 5 hours of post-workshop follow-up are included. Moreover, it is also a great social opportunity to meet peer leaders in similar situations as you through the included meet-n-greet breakfast, lunch, coffee breaks, and happy hour.

Lu Hao, PhD, is an enthusiastic data scientist and management consultant who specializes in applying data science under business context to generate real values. She has worked with clients in various domains on data and analytics initiatives. Her deep understanding of the misconceptions, struggles and needs of analytics from first-hand, client-facing experience has motivated her to develop this workshop to help guide leaders through the vast mist around analytics to shore as a truly intelligent organization driven by insights from data.

To learn more about Becoming an Intelligent Organization, contact MSSBTI at 602-387-2100 or dlee@mssbti.com.


Program Audience

  • Enterprise leaders and their teams
  • Executives in strategy and organizational transformation
  • Executives/directors for analytics practice
  • Senior leaders for teams in transitions to a more data-driven culture
  • Executive-level consultancy professionals

Length

  • 1.5-day workshop
  • 5 hours post-workshop follow-up

Expected Outcomes

  • Achieve a thorough understanding of what analytics means for your organization
  • Complete a practical assessment of your organization’s analytics maturity
  • Create action plans and roadmap for your organization’s analytics efforts
  • Identify the best-suited business operating model for analytics
  • Diagnose your organization’s barrier and pain points on the analytics journey
  • Gain the momentum to jump-start your organization’s analytics journey

Location

  • All workshops can be performed at MSSBTI facilities in Central Phoenix, AZ or onsite at the client location

See all workshops offered through MSSBTI

Get Ready for the Next Wave of Disruption in Data and Predictive Analytics

Just like the rise of Uber disrupting the traditional taxi business by completely changing people’s commute behavior – disruptive innovations are also happening in the data and predictive analytics realm today. “Disruptive Innovation” is defined as technologies that emerge to challenge established incumbent businesses, i.e., the traditional way of people doing things. It is not a marginal improvement to make things a little better, but a fundamental change that make the old things obsolete.

The first wave of disruption in data and analytics arrived about 10 years ago, when coding-based data analytics platform is transformed into visual-based platforms. And with that comes the era of modern Business Intelligence, where data are visualized in an interactive and code-free environment and have since then been realizing true business values.

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