Ted Friedman

Ted Friedman

Vice President and Distinguished Analyst

Ted Friedman is a member of the Global Content Team tasked with developing the content for Gartner Data & Analytics Summit series globally.

As a member of the Data & Analytics team, Ted Friedman conducts research focused on enterprise information management, information governance, information implications of the Internet of Things (IoT), data integration and data quality. He works with Gartner clients on building the business case for investing in and furthering their maturity in these areas. In addition, he closely follows the related technology markets, advising clients on vendor and tool selection, price negotiation, and emerging deployment approaches for optimal impact and value. He assists clients with modernization strategies for their data management programs and technology infrastructure.

Years of Experience:

  • 17 years in total with Gartner
  • 32 years in IT industry
  • 3 years in Manufacturing industry
  • 3 years in Banking, Finance and Insurance industry
  • 3 years in Healthcare industry
  • 3 years in Government industry

Issues I help clients address:

  • Enterprise information management (EIM) strategy
  • Information/data governance
  • Information management implications of IoT
  • Data quality (best practices, organizational approaches, tools, vendors)
  • Data integration (tools, vendors, architectures, best practices)

Roles That Need My Research:

  • CIOs, IT leaders (directors of BI, MDM and other data-related initiatives), business leaders (e.g., CFOs, COOs, CMOs)

Top Key Initiatives I Cover:

  • Data Management Strategies
  • Data and Analytics Leaders

Common Inquiries I Address:

  • Data quality improvement best practices
  • Data/information governance business case
  • Organizing for data mgmt./governance
  • Data integration tools selection
  • Data quality tools selection
  • Pricing for data integration and data quality tools
Monday, March 5, 2018 / 3:45 PM - 4:45 PM

Roundtable: Data Diversity

Today, most organizations have recognized the value of diversity – of gender, race, thinking, educational background, skills and so forth. But what about the data that teams have available to work with? Could diverse teams still deliver sub-optimal results because their data lacks diversity? In this interactive discussion, participants will share and explore ideas about the value of data diversity.

Tuesday, March 6, 2018 / 2:00 PM - 2:45 PM

What the Internet of Things Means for Your Data and Analytics Capabilities

You think big data is large and complex and fast-paced? Consider how billions of devices, outside your line of sight and generating oceans of events, are going to put pressure on your ability to ingest, store and process data. Digital business and IoT hold massive promise for innovation, new business models and advanced analytics. How does the IoT create new data and analytics challenges? What must data and analytics leaders do to drive adaptation for the IoT? Which new capabilities will be critical to success?

Wednesday, March 7, 2018 / 2:00 PM - 2:45 PM

Data Hubs, Lakes and Warehouses: Choosing the Core of Your Digital Platform

Successful implementations of digital platforms remain elusive. Data and analytics sits at the core of the digital platform, but what strategy should you pursue? This session starts the discussion by presenting three competing and complementary options, and how they are used to supercharge your existing business or to pursue net-new products and business models. Specifically, this session will explore:

• What are the differences between hubs, lakes and warehouses?
• How do you balance the trade-offs between these options?
• What are the technology options and how are they integrated?

Thursday, March 8, 2018 / 10:30 AM - 11:15 AM

Who Killed the Database (and Most Other Data Management Conventional Wisdom)?

In 2005 at Gartner Symposium, three Gartner analysts presented "The Death Of the Database", a look into the data management crystal ball. Fast forward almost 13 years and much has changed, except the three authors who are back to have a go again. Open source, cloud, AI & ML, autonomous, SaaS, virtualization, converging markets, and self service bring disruptive potential. How will all this affect your future and the future of data management?

Meet the analysts face to face.