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3STEPS
FOR BREAKING DOWN
DATA & ANALYTIC
SILOS
73%
OF COMPANIES
CONSIDER THEMSELVES
ANALYTICALLY DRIVEN*
*2016 State of Enterprise Analytics, Dun & Bradstreet &
TechVali...
YET ONLY
38%SHARE INSIGHTS
OUTSIDE OF THEIR
DEPARTMENT*
*2016 State of Enterprise Analytics, Dun & Bradstreet &
TechValida...
SILOS ARE BARRIERS TO GROWTH
One of the biggest challenges enterprises face is trying to gleam insights from data
that’s t...
2/3
EXPEREINCE SOME
DEGREE OF SHADOW
(OR ROGUE) DATA
DEPOSITORIES
SILOS ARE ALL TOO COMMON
Unfortunately, silos have made ...
COMMON OBSTACLES
CAUSING SILOS3
MEASURING DIFFERENT THINGS1
HAVING DIFFERENT GOALS2
A RELUCTANCE TO SHARE3
Organizations must break down silos and connect
disparate databases to form relationships. This is
not an easy process but...
STEPS TO BEGIN
BREAKING DOWN DATA
& ANALYTIC SILOS
3
MARKETING
INFORMATION
INSIGHTS
CMO
FINANCE
INFORMATION
INSIGHTS
CFO
SUPPLY CHAIN
INFORMATION
INSIGHTS
CPO
Chances are your...
MARKETING
INFORMATION
INSIGHTS
CMO
FINANCE
INFORMATION
INSIGHTS
CFO
SUPPLY CHAIN
INFORMATION
INSIGHTS
CPO
CAO
1
Who’s Your...
MARKETING
INFORMATION
INSIGHTS
CMO
FINANCE
INFORMATION
INSIGHTS
CFO
SUPPLY CHAIN
INFORMATION
INSIGHTS
CPO
CAO
2
It is impo...
MARKETING
INFORMATION
INSIGHTS
CMO
FINANCE
INFORMATION
INSIGHTS
CFO
SUPPLY CHAIN
INFORMATION
INSIGHTS
CPO
CAO
3
When it co...
ELIMINATING SILOS LEADS TO
BETTER BUSINESS OUTCOMES
IDENTIFYING INSIGHTS
THAT WOULD HAVE
OTHERWISE BEEN
MISSED
ANALYZING W...
BREAK DOWN
THE WALLS…
UNLOCK NEW
OPORTUNITIES
Once you are able to begin breaking down silos, you’re poised
for sophistica...
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3 Steps for Breaking Down Data & Analytic Silos

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Learn the three steps for breaking down data and analytic silos and how they enable accurate insights to be leveraged across the entire enterprise.

Publicado en: Datos y análisis
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3 Steps for Breaking Down Data & Analytic Silos

  1. 1. 3STEPS FOR BREAKING DOWN DATA & ANALYTIC SILOS
  2. 2. 73% OF COMPANIES CONSIDER THEMSELVES ANALYTICALLY DRIVEN* *2016 State of Enterprise Analytics, Dun & Bradstreet & TechValidate, 3/16
  3. 3. YET ONLY 38%SHARE INSIGHTS OUTSIDE OF THEIR DEPARTMENT* *2016 State of Enterprise Analytics, Dun & Bradstreet & TechValidate, 3/16
  4. 4. SILOS ARE BARRIERS TO GROWTH One of the biggest challenges enterprises face is trying to gleam insights from data that’s trapped in the data silos that exist across business units and organizational functions. Data and analytic silos tend to arise naturally in organizations because each department has different goals, priorities and responsibilities. Silos can also occur when departments compete with each other instead of working together toward common business goals. Despite being viewed as a hindrance to effective business operations, they remain a common barrier to growth.
  5. 5. 2/3 EXPEREINCE SOME DEGREE OF SHADOW (OR ROGUE) DATA DEPOSITORIES SILOS ARE ALL TOO COMMON Unfortunately, silos have made it hard to manage and analyze enterprise-wide data, making it difficult to identify the type of valuable opportunities that spark growth. Breaking down silos enables accurate insights to be leveraged across the entire enterprise. 80% REPORT HIGH OR MODERATE DEGREES OF DATA SILOS 69% ARE UNABLE TO PROVIDE A COMPREHENSIVE, SINGLE CUSTOMER VIEW *Big Data Insights and Opportunities, CompTIA, 9/14
  6. 6. COMMON OBSTACLES CAUSING SILOS3
  7. 7. MEASURING DIFFERENT THINGS1
  8. 8. HAVING DIFFERENT GOALS2
  9. 9. A RELUCTANCE TO SHARE3
  10. 10. Organizations must break down silos and connect disparate databases to form relationships. This is not an easy process but one that is imperative to extracting real value out of data. -Nipa Basu, Chief Analytics Officer, Dun & Bradstreet
  11. 11. STEPS TO BEGIN BREAKING DOWN DATA & ANALYTIC SILOS 3
  12. 12. MARKETING INFORMATION INSIGHTS CMO FINANCE INFORMATION INSIGHTS CFO SUPPLY CHAIN INFORMATION INSIGHTS CPO Chances are your organizational structure is awfully similar to the depiction on the left – departmental silos with individual leaders operating independently of each other. It’s okay if this looks familiar. You’re not alone. Organizational silos are typically resistant to change, operating to prevent access to the information they hold and working hard to protect its own interests and meet specific goals. But don’t stress, there are solutions. It’s no easy task, but the following 3 steps should help you slowly eradicate these pesky silo walls. Enterprise Analytics Today
  13. 13. MARKETING INFORMATION INSIGHTS CMO FINANCE INFORMATION INSIGHTS CFO SUPPLY CHAIN INFORMATION INSIGHTS CPO CAO 1 Who’s Your Data (Leader)? To begin making cracks in the silo walls, every enterprise needs to consider employing a single analyticsleader that bridges the disparate departments together so they can take the analytics tothat next level. It’s still debatable whothat crucialanalytics leader is. Some believe it is the emerging Chief AnalyticsOfficer but notall companies may be mature enough tosupport that role. Ultimately, there should be someonewho interacts with each of the organizational leaders. Whatever title you give that person, there's got to be somebody who can identify the analytics that’s driving compelling insights fromthe noiseand understands how it can be used to drive value acrossthe enterprise.
  14. 14. MARKETING INFORMATION INSIGHTS CMO FINANCE INFORMATION INSIGHTS CFO SUPPLY CHAIN INFORMATION INSIGHTS CPO CAO 2 It is important for everyone to be on the same page in how data is defined and collected. Each department’s definition of a “customer”and “prospect”, for example, may not always be the same, so be ready to discuss ways this can be made universal across the enterprise. Without the benefit of a common master data dichotomy, data that is of value to one department may not be recognized by another and often discarded. What’s more, inconsistent naming conventions lead to duplicated records. As a result, the information and data output of these systems may render rich details but cannot accurately summarize futureopportunities. What’s more, there is a need for consistent analytics methodology and connecting the right approach to the right business problem. If the department creating prospect lists uses the most advanced method and creates the best list, but the department responsible for converting the leads uses primitive methodology – then the best prospecting list won’t help the company. Speaking the same language will ensure richerinsights are produced and shared. Definingthe Data
  15. 15. MARKETING INFORMATION INSIGHTS CMO FINANCE INFORMATION INSIGHTS CFO SUPPLY CHAIN INFORMATION INSIGHTS CPO CAO 3 When it comes to data, sharingis not always caring. Legacy platforms andunitary tools make it hard for departments to seamlessly talk to one another. That’swhy organizations need to be open to using an open-source framework that offers the ability tointegrate data frommultiple sourcesacross departments. This will allowdata to flow fromone system to another, givingbusinesses the freedomto collaborate andshare information that can informfuture insights. Open It Up
  16. 16. ELIMINATING SILOS LEADS TO BETTER BUSINESS OUTCOMES IDENTIFYING INSIGHTS THAT WOULD HAVE OTHERWISE BEEN MISSED ANALYZING WITH GREATER SPEED FOR FASTER DECISIONS BETTER RELATIONSHIPS ACROSS THE ORGANIZATION COST SAVINGS DUE TO IMPROVED EFFICIENCY
  17. 17. BREAK DOWN THE WALLS… UNLOCK NEW OPORTUNITIES Once you are able to begin breaking down silos, you’re poised for sophisticated analysis that lets you identify untapped opportunities across the enterprise. Leveraging advanced analytics, you can better predict performance and look for triggers and insights that can forecast unforeseen needs. Learn how our advanced analytics can enhance your enterprise-wide insights.

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