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DATA CATALOGUES
The Power of Suggestion: How a Data Catalog Empowers Analysts
BUSINESSES WHICH HAVE
LEARNED TO VALUE DATA
HAVE GAINED SIGNIFICANT
ADVANTAGE OVER THEIR
COMPETITORS..
DATA IS THE NEW OIL...
Large scale disruption across almost every industry sector is being driven by
data, and if current trends are anything to ...
COMPANIES WITH ALMOST
NO PHYSICAL ASSETS HAVE
GAINED HIGH MARKET VALUE
IN RECORD TIME VIA
DATA ASSETS..
DATA AS A NEW ASSE...
DATA CATALOG TECH CIRCA 1880
DATA CATALOG TECH CIRCA 1939
DATA CATALOG TECH CIRCA 2016
Discovering data assets via post-it notes and water cooler conversations is
no longer an appropriate method.. Actually it ...
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Hot tech 20160622-ep009-alation-alation-the_power_of_suggestion-how_a_data_catalog_empowers_analysts-dez-slides

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Hot tech 20160622-ep009-alation-alation-the_power_of_suggestion-how_a_data_catalog_empowers_analysts-dez-slides

  1. 1. DATA CATALOGUES The Power of Suggestion: How a Data Catalog Empowers Analysts
  2. 2. BUSINESSES WHICH HAVE LEARNED TO VALUE DATA HAVE GAINED SIGNIFICANT ADVANTAGE OVER THEIR COMPETITORS.. DATA IS THE NEW OIL !!
  3. 3. Large scale disruption across almost every industry sector is being driven by data, and if current trends are anything to go by, we’ve only just gotten started and long standing brands are about to enter the game wholesale !! •Worlds largest taxi company owns no taxis ( Uber ) •Largest accommodation provider owns no real estate ( Airbnb ) •Largest phone company owns no telco infra ( WeChat ) •Worlds most valuable retailer has no inventory ( Alibaba ) •Most popular media owner creates no content ( Facebook ) •Fastest growing banks have no actual money ( SocietyOne ) •Worlds largest movie house owns no cinemas ( NetFlix ) •Largest software vendors don’t write the apps ( Apple & Google) DATA DRIVEN DISRUPTION
  4. 4. COMPANIES WITH ALMOST NO PHYSICAL ASSETS HAVE GAINED HIGH MARKET VALUE IN RECORD TIME VIA DATA ASSETS.. DATA AS A NEW ASSET CLASS !!
  5. 5. DATA CATALOG TECH CIRCA 1880
  6. 6. DATA CATALOG TECH CIRCA 1939
  7. 7. DATA CATALOG TECH CIRCA 2016
  8. 8. Discovering data assets via post-it notes and water cooler conversations is no longer an appropriate method.. Actually it never really was.. Today we can’t leave it to people, we need systems discovering data in systems.. If this was an easy issue to solve we would have already Humans cataloging data is a recipe for failure Internet search engines index the world every day We’ve now realized that this can work for data discovery The real challenge now is selecting the best tool for the job It’s also critical you find the right partner to help get started NEXT GEN DATA CATALOGING

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