Stephen Brobst Workshops and Seminars

Stephen Brobst offers a range of workshops and seminars on analytics topics for AlphaZetta Academy. Stephen is a thoroughly engaging speaker and trainer and his expertise is a fascinating to witness. Contact us today to arrange a workshop or seminar at your organisation.

Stephen is the Chief Technology Officer for Teradata Corporation. He performed his graduate work in Computer Science at the Massachusetts Institute of Technology where his Masters and PhD research focused on high-performance parallel processing. Stephen also completed an MBA with joint course and thesis work at the Harvard Business School and the MIT Sloan School of Management. He is a TDWI Fellow and has been on the faculty of The Data Warehousing Institute since 1996. During Barack Obama’s first term he was also appointed to the Presidential Council of Advisors on Science and Technology (PCAST) in the working group on Networking and Information Technology Research and Development (NITRD). In 2014 he was ranked by ExecRank as the #4 CTO in the United States (behind the CTOs from Amazon.com, Tesla Motors, and Intel) out of a pool of 10,000+ CTOs.

Data Science and Big Data Analytics: Leveraging Best Practices and Avoiding Pitfalls

2021-07-23T01:00:38+00:00May 13th, 2019|Tags: Management, C-suite, Business, Non-tech, Expert, Workshop, Stephen Brobst|

Data science is the key to business success in the information economy. This workshop will teach you about best practices in deploying a data science capability for your organisation. Technology is the easy part; the hard part is creating the right organisational and delivery framework in which data science can be successful in your organisation. We will discuss the necessary skill sets for a successful data scientist and the environment that will allow them to thrive. We will draw a strong distinction between “Data R&D” and “Data Product” capabilities within an enterprise and speak to the different skill sets, governance, and technologies needed across these areas. We will also explore the use of open data sets and open source software tools to enable best results from data science in large organisations. Advanced data visualisation will be described as a critical component of a big data analytics deployment strategy. We will also talk about the many pitfalls and how to avoid them.

Stars, Flakes, Vaults and the Sins of Denormalisation

2021-07-23T01:03:47+00:00May 13th, 2019|Tags: Tech, Expert, Workshop, Stephen Brobst|

Providing both performance and flexibility are often seen as contradictory goals in designing large scale data implementations. In this talk we will discuss techniques for denormalisation and provide a framework for understanding the performance and flexibility implications of various design options. We will examine a variety of logical and physical design approaches and evaluate the trade offs between them. Specific recommendations are made for guiding the translation from a normalised logical data model to an engineered-for-performance physical data model. The role of dimensional modeling and various physical design approaches are discussed in detail. Best practices in the use of surrogate keys is also discussed. The focus is on understanding the benefit (or not) of various denormalisation approaches commonly taken in analytic database designs.

Best Practices in Enterprise Information Management

2021-07-23T00:58:54+00:00May 17th, 2019|Tags: Business, Non-tech, Expert, Workshop, Stephen Brobst, Management|

The effective management of enterprise information for analytics deployment requires best practices in the areas of people, processes, and technology. In this talk we will share both successful and unsuccessful practices in these areas. The scope of this workshop will involve five key areas of enterprise information management: (1) metadata management, (2) data quality management, (3) data security and privacy, (4) master data management, and (5) data integration.

Overcoming Information Overload with Advanced Practices in Data Visualisation

2021-07-23T01:02:29+00:00May 14th, 2019|Tags: Workshop, Stephen Brobst, Non-tech, Geospatial Analytics, Business, Management, C-suite, Expert|

In this workshop, we explore best practices in deriving insight from vast amounts of data using visualisation techniques. Examples from traditional data as well as an in-depth look at the underlying technologies for visualisation in support of geospatial analytics will be undertaken. We will examine visualisation for both strategic and operational BI.

The Future of Analytics

2021-07-23T01:04:45+00:00May 18th, 2019|Tags: Management, C-suite, Business, Expert, Tech, Workshop, Stephen Brobst|

This full day workshop examines the trends in analytics deployment and developments in advanced technology. The implications of these technology developments for data foundation implementations will be discussed with examples in future architecture and deployment. This workshop presents best practices for deployment of a next generation data management implementation as the realization of analytic capability for mobile devices and consumer intelligence. We will also explore emerging trends related to big data analytics using content from Web 3.0 applications and other non-traditional data sources such as sensors and rich media.

The Future of Analytics [Seminar]

2021-07-16T02:03:38+00:00June 21st, 2019|Tags: Tech|

This talk examines key trends in analytics deployment and developments in advanced technology. Specific areas of focus include: (1) data acquisition and delivery, (2) operational intelligence in the real-time enterprise, and (3) analytic applications architecture. The implications of these technology developments for analytic implementations will be discussed with examples from across a number of different industries. Learn about key trends in data acquisition and delivery and analytic applications architecture, and discover important modes of delivering operational intelligence.

Harnessing Mobile Intelligence in an Omni-Channel World

2021-07-16T02:02:26+00:00June 24th, 2019|Tags: Business|

The proliferation of mobile devices and a new breed of consumers is driving a revolution in requirements for pervasive access to data for marketing analytics. A new breed of consumers has emerged with a DIY (Do It Yourself) mindset related to technology and unprecedented sophistication in using data for personal decisions. This change in consumer behavior is creating demand for consumer intelligence capability in which direct access to data is required for personal decision making. We will discuss the implications of this phenomena for deployment of omni-channel marketing and illustrate leading edge case studies in the delivery of marketing intelligence integrated across all channels.

How to Innovate in the Age of Big Data

2021-07-16T02:09:58+00:00June 24th, 2019|Tags: Business|

The era of Big Data presents exciting opportunities for leveraging analytics to create competitive advantage and new sources of revenue. To maximize business value, however, an enterprise must innovate in the context of good governance models to avoid technology projects for the sake of technology. In this workshop we describe a framework developed at the Massachusetts Institute of Technology for maximizing business value with the right combination of innovation and governance. We will examine new scenarios for monetising from Big Data sources. We will also explore opportunities for exploiting non-traditional data types from both internal and open data sources.

Advanced Implementation of Big Data Analytics with Graph Processing

2021-07-16T02:17:01+00:00June 24th, 2019|Tags: Tech|

There are a significant number of big data analytics opportunities where graph processing is an effective model of computation for problem solving. In this workshop we present a programming model for implementation of graph algorithms and explain how the execution model works. We also provide example applications in the area of social network analysis, product cross-selling, and fraud detection.

Leveraging Advanced Healthcare Analytics

2021-07-16T02:28:46+00:00June 24th, 2019|Tags: Tech|

Trends in healthcare are toward more data, more complexity, more decisions, and less time and resource for execution. The only way to be successful in this environment is to leverage a more advanced framework for healthcare analytics. This seminar will discuss best practices in healthcare delivery and architecture frameworks for realisation of decisioning services for improving quality and efficiency of care. A reference architecture for deployment will be described in detail along with cases studies of successful realisation in major healthcare organisations within the United States. Special emphasis will be placed on the value proposition for integration of disparate data sources such as Medicaid, TANF, Child Support, and SACWIS.

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Stephen Brobst

AlphaZetta Academy Course Author & Trainer

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