Did you know that 91% of businesses suffer from common data quality issues? The most common are inaccurate data, outdated contacts, incomplete records, and duplicates. Without clean and accurate data, itâs hard to find new customers, better understand existing customersâ needs, and increase the lifetime value of every customer â today and tomorrow. For 30+ years, Melissa has been helping companies all over the world with solutions to improve the quality of data for a meaningful return on investment.
Stibo Systems
Aruna Adoor
Redpoint Global
Susan Signet
Data on Snow
InnerTrends and Data-led Academy
LiveRamp
melissadataquality
Informatica
David Dirks
Redis
Melissa Drew
Audioboom
HSBC
Lenovo Data Center Group, EMEA
AI in Action Podcast
Mastech InfoTrellis
Teknion Data Solutions
Gensquared
ForteData
Alex Pongpech
Timo Dechau - deepskydata
MRS Delphi Group
Michael Lawson
S&P Data
Brian T. O'Neill from Designing for Analytics
Brian T. O’Neill from Designing for Analytics
Rand Merchant Bank
Anodius.com
Privitar
Mark Niesta
ChaosSearch
Boomi & Fifth Quadrant
Mountain Point
John Sands
Risk Insights
HSO
phocassoftware
Jason Tan
New Relic
Cohaesus Group
Michael Cowen
Business of Data by Corinium
Iain Keaney
Let's Talk Data
Experiencing Data with Brian O
Databricks
prdt.design
Utility Analytics Institute, Erin Hardick
Archive
BCG Henderson Institute
Workfellow
Arpit Choudhury
Seth Earley & Chris Featherstone
froomle
Gary Angel
BBBT
Laks Srinivasan
Jonas Christensen
@NoCode_Podcast
USystems
Mobilewalla
Lior Barak and Michael Stiller
Peter Denby
Hugh Whitehill & Olivier Klein
NYGCI
Guy Bevington
Data Leaders in Conversation
TheMathCompany
Verisk
Logic
Paul Laughlin
Infutor
Stephany Lapierre
Merkle
Piyanka Jain
CrunchMetrics
SnapLogic
3-GIS
datacenterHawk
Mission
Kristian & Bibiana
IDG Australia
The Data Standard
TeleSign
Ulrik Carlsson
Dimitri Visnadi
Perficient, Inc.
Red Olive
Talend
Mission
Computyne
IDG
Knotch
Tomorrow
The Firebolt Data Bros
Brett Schechter
SAP Ariba
Tim Hopper