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Connect + The Value of Data Catalogs


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Looking to learn more about Alteryx Connect and how the power of data catalogs empowers all types of data workers? Join this session to learn the fundamentals of configuring and executing metadata loaders to provide powerful data lineage, as well as understand how users interact with Alteryx Connect for data discovery and collaboration.

Dan Hilton - Solutions Architect, Alteryx

Published in: Data & Analytics
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Connect + The Value of Data Catalogs

  2. 2. # A L T E R Y X 1 9 2 TODAY’S AGENDA 1. Challenges in Managing Analytics 2. The Alteryx Solution: Alteryx Connect 3. Product Walk- through 4. Time to Value
  3. 3. # A L T E R Y X 1 9 FORWARD-LOOKING STATEMENTS This presentation includes “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995. These forward-looking statements may be identified by the use of terminology such as “believe,” “may,” “will,” “intend,” “expect,” “plan,” “anticipate,” “estimate,” “potential,” or “continue,” or other comparable terminology. All statements other than statements of historical fact could be deemed forward-looking, including any projections of product availability, growth and financial metrics and any statements regarding product roadmaps, strategies, plans or use cases. Although Alteryx believes that the expectations reflected in any of these forward-looking statements are reasonable, these expectations or any of the forward-looking statements could prove to be incorrect, and actual results or outcomes could differ materially from those projected or assumed in the forward-looking statements. Alteryx’s future financial condition and results of operations, as well as any forward-looking statements, are subject to risks and uncertainties, including but not limited to the factors set forth in Alteryx’s press releases, public statements and/or filings with the Securities and Exchange Commission, especially the “Risk Factors” sections of Alteryx’s Quarterly Report on Form 10-Q. These documents and others containing important disclosures are available at or in the “Investors” section of Alteryx’s website at All forward-looking statements are made as of the date of this presentation and Alteryx assumes no obligation to update any such forward-looking statements. Any unreleased services or features referenced in this or other presentations, press releases or public statements are only intended to outline Alteryx’s general product direction. They are intended for information purposes only, and may not be incorporated into any contract. This is not a commitment to deliver any material, code, or functionality (which may not be released on time or at all) and customers should not rely upon this presentation or any such statements to make purchasing decisions. The development, release, and timing of any features or functionality described for Alteryx’s products remains at the sole discretion of Alteryx.
  4. 4. # A L T E R Y X 1 9 BARRIERS TO ANALYTIC VALUE O F A N A LYS T S T I M E W A S T E D S E A RC H I N G F O R DATA 137% O F C O M PA N I E S D U P L I C AT I N G E X I S T I N G A N A LY T I C S 220% O F O RG A N I Z AT I O N S D O N ’ T S H A R E I N F O R M AT I O N E F F E C T I V E LY 3 46% R E P O R T T I M E W A S T E D G OV E R N I N G DATA 423% The rapid growth of data and analytic consumption is creating new challenges within organizations that limit value
  5. 5. # A L T E R Y X 1 9 BUILDING VALUE ACROSS THE BUSINESS WITH ANALYTICS 5 FRICTION VALUE CDO IT ANALYSTS × Limited analytic ROI × Analytic immaturity × Data and reporting proliferation × Limited visibility in analytic consumption × Wasted time × Duplication × Inconsistent results – lower quality ✓ Innovative, data-driven enterprise ✓ Maximize analytic investments ✓ Oversight ✓ Reduced proliferation ✓ Curation ✓ Visibility ✓ Capture quality ✓ Increased collaboration ✓ Faster innovation
  6. 6. # A L T E R Y X 1 9 6 BUSINESS PERSPECTIVES ON DATA MANAGEMENT “We need to crowd-source metadata and knowledge about data.” - Tom, EU retailer “We definitely face Data Discovery challenges using Alteryx as well as other tools. Moreover we’d like to capture and analyze data usage – what data sets are being used, what data is being proliferated,… “ - Kristen, Investment bank “I tried multiple times to implement Data Governance projects but the metadata and glossary was impossible to maintain and I could never get the business to engage” - Kelly, CDO of a financial institution
  7. 7. # A L T E R Y X 1 9 Share Enrich Prep & Blend Analyze Search for Relevant Data Data Cataloging Data Preparation Data Science Sharing & Collaboration A LEADING PLATFORM FOR SELF-SERVICE ANALYTICS Output Popular Formats
  8. 8. # A L T E R Y X 1 9 ALTERYX CONNECT 8
  9. 9. # A L T E R Y X 1 9 Community Search Simple, unified interface to search all data assets that exist in your organization User conversations with Subject Matter Experts to locate and discuss data assets Socialization Users promote content and assets with social signals – Improves the findability for future users FIND Business Glossary Linked Data Interactive, graphical view of connectedness and dependencies Navigate assets from single fields to high-level business concepts Nexus Metadata Graph UNDERSTAND Scheduling Curated Data Management Respects existing policies and controls around data sources Loaders can be run on a repeating frequency for dependable updates, using your Alteryx Server TRUST Easy to deploy and manage Connect loaders against your data sources User-friendly interactive hypertext editor for consistent, linked definitions FEATURES & CAPABILITIES 9
  10. 10. # A L T E R Y X 1 9 Metadata Loaders HOW IT WORKS ARCHITECTURE Alteryx Connect Alteryx Server Website Java Application H2 Database http http 10
  11. 11. # A L T E R Y X 1 9 TECHNOLOGY STACK • Alteryx Gallery • Amazon Redshift • Amazon S3 • DB2 • Files (CSV, XLSX, TDE,etc) • HDFS • Hive • Exasol • Impala • Oracle • PostgreSQL • MS Azure Data Lake Store • MS Azure Data Catalog SERVER COMPONENTS Alteryx Gallery Server • specs Alteryx Connect • 2 Cores – 8 GB RAM – 100 GB Disk • Windows Server 2008 R2+ Deployment Options • On Premises • Private Cloud • MS Azure Data Warehouse • MS PowerBI • MS SQL Server • MySQL • Qlik Sense • QlikView • SalesForce • SAP Hana • Snowflake • Tableau Server • Tableau Online • Teradata • Build-your-own SDK SUPPORTED METADATA LOADERS (v19.1) Details for each metadata loader at 11
  12. 12. # A L T E R Y X 1 9 CONNECT IN ACTION… ©2019 Alteryx, Inc. 12
  13. 13. # A L T E R Y X 1 9 SUCCESSFUL ADOPTIONS 13
  14. 14. # A L T E R Y X 1 9 SUCCESSFUL ADOPTIONS 14
  15. 15. # A L T E R Y X 1 9 SUCCESSFUL ADOPTIONS 15
  16. 16. # A L T E R Y X 1 9 SUCCESSFUL ADOPTIONS 16
  17. 17. # A L T E R Y X 1 9 SUCCESSFUL ADOPTIONS 17
  18. 18. # A L T E R Y X 1 9 18 KEY POINTS 2
  19. 19. # A L T E R Y X 1 9 19 KEY POINTS 1Get more value from assets you produce 1
  20. 20. # A L T E R Y X 1 9 20 KEY POINTS Focus on Analytics 1 2 Get more value from assets you produce 1
  21. 21. # A L T E R Y X 1 9 21 KEY POINTS Focus on Analytics 1 2 Get more value from assets you produce 1 Ease of Use & Time to Value 3
  22. 22. # A L T E R Y X 1 9 QUESTIONS? 22
  23. 23. # A L T E R Y X 1 9 THANK YOU 23 DAN HILTON