Mark A. Beyer
Bullet   EVENTS
VP Distinguished Analyst, Gartner
Mark A. Beyer
As a Research Vice President, Mark A. Beyer is the co-lead for Big Data research where he researches practical use cases in this area. He also covers traditional data warehousing, data integration and information management practices. Mr. Beyer's work in information management, big data and data warehouse/analytics allows him to complete cooperative research in the business process management, SOA and application integration fields. With all of this cross-over, he also covers metadata management to a depth well beyond design time documentation and research the use of "active" metadata.
SESSIONSLATEST RESEARCH
6 Sessions
Show Descriptions
Thursday
Thursday
15:00 - 16:00
Information Capabilities Framework: Guiding the Infrastructure for MDM
Speakers: Mark A. Beyer, Regina Casonato
Session Type: Gartner Session
Location: Palau de Congressos de Catalunya - Sala F
ID: C1
Tracks: TC, IT, S, AA
You need to sign on to be able to download session documents.MDME3-C1-mdme3-c1-113-beyer-casonato-os.pdf
Master data management combines an enterprise view of consistent data governance with highly diverse implementation. Gartner's Information Capabilities Framework (ICF) asks the right questions to provide for consistent master data governance and diverse implementation.
• What is the ICF and its relationship to MDM?
• How does the ICF support all four MDM implementation styles and consistent governance?
• How can organizations establish and evolve MDM using existing tools and infrastructure?
Thursday
17:15 - 18:15
Roundtable: Putting MDM and BI Together: Synergy, Sympathy or Sycophancy?
Speaker: Mark A. Beyer
Session Type: Analyst-User Roundtable
Location: Palau de Congressos de Catalunya - Room B2, Level -1
ID: AUR4
Tracks: IT, S, F
Have you leveraged your BI dimensional and reporting data to kick off MDM? Does MDM make BI and data integration easier? Share your experiences in finding effective ways that BI implementations and MDM programs can work together. We begin with a real case study that went from BI to MDM to EIM; then everyone joins in.
Friday
Friday
08:00 - 08:30
To the Point: What's the Impact of Big Data on MDM?
Speaker: Mark A. Beyer
Session Type: Gartner Session
Location: Palau de Congressos de Catalunya - Sala H1&2
ID: B3
Tracks: TB, IT, V, BD
You need to sign on to be able to download session documents.MDME3-B3-mdme3-b3-109-beyer-os.pdf
Big data is seemingly influencing everything across the technology landscape, from data warehousing to analytics to content management. Admittedly, master data is a small dataset, but there are big data implications for MDM, and MDM implications for big data.
• What is big data?
• How does big data interact with MDM?
• Is there an imperative to apply MDM to big data?
Friday
12:00 - 13:00
Roundtable: How Can Service-Oriented Architecture (SOA) Benefit MDM?
Speaker: Mark A. Beyer
Session Type: Analyst-User Roundtable
Location: Palau de Congressos de Catalunya - Room B1, Level -1
ID: AUR7
Tracks: IT, S, A
MDM is usually immature in organizations. SOA is generally equally less mature. Yet, SOA is one of the best approaches for integrating MDM into existing applications. Discuss with your peers how MDM demonstrates that data governance is independent of use case and applications and enables SOA.
Friday
13:30 - 14:15
Ideas Exchange - Improving Master Data Quality (End users only, registration required)
Moderators: Mark A. Beyer, Rob Geraghty
Session Type: Ideas Exchange
Location: Palau de Congressos de Catalunya - Ideas Exchange Session Area, Level -1
ID: IE2
Friday
15:45 - 16:45
Evolving BI and Analytical MDM Toward Operational MDM
Speaker: Mark A. Beyer
Session Type: Gartner Session
Location: Palau de Congressos de Catalunya - Sala F
ID: C7
Tracks: TC, IT, S
You need to sign on to be able to download session documents.MDME3-C7-mdme3-c7-118-beyer-os.pdf
Dimensional data management and analysis, driven via a business intelligence (BI) initiative, is sometimes viewed as analytical MDM. This is merely one beginning point for operational MDM. We explain how that analytical starting point can be leveraged into a more proactive management style needed for operational systems.
• How are dimensions and hierarchies different from, yet similar to master data?
• How can BI data quality and integration work evolve toward more mature MDM?
• What do I do differently once MDM is in place relative to my analytical efforts?