workingwithdata_ebook_april21_awc2op 4
CHAPTER 3BREAKINGCOMMUNICATIONBARRIERS WITH AUNIVERSAL LANGAGE
TREATING DATA AS A PRODUCTAs companies increasingly invest in building out their data capability, it’simportant to keep the ultimate goal of collecting and analyzing data front ofmind: to take data-informed actions that drive business value.However, as we discovered by talking with our customers, communicationbarriers are the single biggest reason data doesn’t get actioned in the real world.Several such barriers exist but let’s focus on two of the most important ones:1 Front-end developers send non-uniform tracking diluting the quality,and therefore the value of the data making it hard to consume2 Data doesn’t get actioned because data consumers don’t know whatfields in the warehouse mean, this eventually leads to theorganization losing trust in their insights32
- Page 1 and 2: TREATING DATAAS A PRODUCT
- Page 3 and 4: CHAPTER 1THE CHALLENGESOF WORKINGIN
- Page 5 and 6: TREATING DATA AS A PRODUCTBut it’
- Page 7 and 8: TREATING DATA AS A PRODUCT‘I want
- Page 9 and 10: TREATING DATA AS A PRODUCTBased on
- Page 11 and 12: TREATING DATA AS A PRODUCTTool eval
- Page 13 and 14: TREATING DATA AS A PRODUCTOur custo
- Page 15 and 16: TREATING DATA AS A PRODUCTAccording
- Page 17 and 18: TREATING DATA AS A PRODUCTAnd while
- Page 19 and 20: CHAPTER 2A GUIDE TODATA TEAMSTRUCTU
- Page 21 and 22: TREATING DATA AS A PRODUCTData is n
- Page 23 and 24: TREATING DATA AS A PRODUCTTourlane
- Page 25 and 26: TREATING DATA AS A PRODUCTA balanci
- Page 27 and 28: TREATING DATA AS A PRODUCTPEBMED is
- Page 29 and 30: TREATING DATA AS A PRODUCTOmio (for
- Page 31: TREATING DATA AS A PRODUCTHow Snowp
- Page 35 and 36: TREATING DATA AS A PRODUCTThis appr
- Page 37 and 38: TREATING DATA AS A PRODUCT1 A dev n
- Page 39 and 40: TREATING DATA AS A PRODUCTPrior to
- Page 41 and 42: CHAPTER 4REDUCING DATADOWNTIME WITH
- Page 43 and 44: TREATING DATA AS A PRODUCTA real-li
- Page 45 and 46: TREATING DATA AS A PRODUCTThe spira
- Page 47 and 48: TREATING DATA AS A PRODUCTTo take o
- Page 49 and 50: CHAPTER 5HOW DATASTORYTELLING CANMA
- Page 51 and 52: TREATING DATA AS A PRODUCTWhat is d
- Page 53 and 54: TREATING DATA AS A PRODUCTWhy shoul
- Page 55 and 56: TREATING DATA AS A PRODUCTAsk yours
- Page 57 and 58: TREATING DATA AS A PRODUCTWrap it u
TREATING DATA AS A PRODUCT
As companies increasingly invest in building out their data capability, it’s
important to keep the ultimate goal of collecting and analyzing data front of
mind: to take data-informed actions that drive business value.
However, as we discovered by talking with our customers, communication
barriers are the single biggest reason data doesn’t get actioned in the real world.
Several such barriers exist but let’s focus on two of the most important ones:
1 Front-end developers send non-uniform tracking diluting the quality,
and therefore the value of the data making it hard to consume
2 Data doesn’t get actioned because data consumers don’t know what
fields in the warehouse mean, this eventually leads to the
organization losing trust in their insights
32