Today, self-service, Cloud and big data technologies make new data preparation capabilities necessary…and possible. But, we've all been through the hype cycle and know the trough of disillusionment can come on hard and fast. Organizations have been trying to solve the data quality problem and democratize insights for years spending millions of dollars and dedicating an increasing amount of resources to manage and govern the data.  The result? Everyone is still looking to solve the problem. Data preparation offers a new paradigm, but how can you avoid another round of minimal business impact? We’ll review a true data ROI model that helps organizations understand the value of existing versus modern data management architectures.

1. How Can You Calculate The Cost Of
Your Data?
September 20, 2016
Data Prepared By Business, Scaled For Business

2. Maximize Revenue – Stay Competitive
Airlines aggregate a variety of data to run and apply dynamic seat pricing.
Allowed airlines to step out of pricing wars and link pricing to demand and flyer profiles.
Image Source: abcnews.go.com

3. Are you able to
demonstrate business
ROI inhibiting data
investment?

4. By 2017, 33% of the largest global companies will
experience an information crisis due to their
inability to adequately value, govern and trust
their enterprise information.
Source: Gartner

5. • Missed Revenue
• Customer Churn
• Inaccurate Forecasts
• Hidden Fraud
• Compliance Fines
• Inaccurate Inventory
• Inefficient Logistics and Fulfillment
• Lack of Worker Productivity

6. “Too often, companies execute big data projects
as bottom-up projects integrating data sources
with no clear business objective or goal in mind. “
- Noel Yuhanna, Principal Analyst, Forrester Research

7. Lost time to business ROI
Big box retailer stands up Hadoop distro to
modernize data center and accelerate integration.
Data lake created without business use cases and
involvement
Takes a year and a half to identify and run pilot
scenario for for loyalty analytics.

8. Data pipelines are for systems, not people
We start with rich data…
Conversations
Relationships
Experiences
We process data to fit systems… We lose all meaning.
Data in the RawDeconstruct
Disassociate
Atomic

9. Does this sound like you?
• Traditional tools requires a lot of installation and set up – slows down starting up a
project
• Cannot work on full/large volume of data – need to sample data
• Based on SDLC process – write code, package and then run it. Not self-service.
• Cannot see data easily while working on it
• Cannot query fast enough
• Cannot repeat my operations again and again
• Cannot make changes easily and quickly
Source: Paxata Financial Services Customer

10. What are your biggest
challenges when
preparing data?

11. Get a handle on your cost of data

12. Right Fit Your Data Management Strategy
Prescriptive Analytics
Competitive
BI
Informed
Transactions
Collect
Exploration / Discovery
Democratized
0%
100%
%DataUsed
Time to First Value
HighPeriodic
Data Interaction
Months <Week
Accountability
IT Driven
Business Driven

13. Model Your Return On Data
Business Outcomes
• Time to first business value – upside or de-risk
• Increased productivity – go deeper with data
• Expanded capabilities – scale intelligence
Metrics to track
• % data used
• Time to understanding
• Data lake adoption
• Decrease/Increase resources
• Responsiveness
• Retire or decrease technology service

14. Measure Your Return On Data – Auditing Firm
• Over 1000 analysts who spent over 50% of their time cleaning, organizing, and
merging data so that the company could complete audits.
• Missed Opportunity: Concentrating on data cleansing rather than increasing the
number of audits that could be performed cut into additional revenue potential.
• Measure: Assumption - move 40% off data cleansing
• Result: 27% increase in revenue generating capacity

15. Calculate ROI

16. ROI – Resource Hours

17. ROI – Added Resources

18. ROI - Productivity

19. “Prior to Paxata, we struggled with cumbersome
data prep processes that were impossible for us
to audit or automate – our only approach was to
just throw more bodies at the problem.”
- Chief Data Officer, Financial Services Firm

20. Business Analyst Chief Analytics Officer Chief Data Officer
You know good data when you see it
Engage with data yourself
Access data anywhere
Understand the meaning of the data
Prepare data for analysis
Collaborate with your team
Share your data
You deliver meaningful information to
drive business outcomes
Power an insight driven business
Unlock data value quickly
Understand what data works
Make data actionable
Capture data hygiene
Enable collaboration
You enable the business to get value
from all the data
Scale data to the enterprise
Get faster return on data investment
Deliver a comprehensive service
Scale up and out
Deploy data and pipelines faster
Govern and secure data
The Paxata Difference

21. Data Prepared By Business, Scaled for Business
Value
Agility
Business
IT
Repeatable Iterative/Discovery
IT
Analyst Data prep
tools
IM
Solutions
Business Information Platform
BI
Solutions
Intelligence At Scale
Paxata connects information to business at scale

22. Integration Quality Enrichment Governance
Semantic Catalog* and Library
Consumer Experience, Exploration & Collaboration
Connectivity Framework
In-memory, parallel, pipelined, columnar, distributed data transformation engine
Automation
Administration
Security
DATA
3rd partyPackaged Apps Databases/EDW Flat filesHadoop/Big Data
*: Roadmap
USE
CASES
Custom AppsBI & Analytics Transactions Data-as-a-ServiceData Markets
Developers Data Scientists Analysts Information Workers
Collaboration
Paxata Business Information Platform™

23. Key Takeaways
• Build an ROI model tuned to strategic, growth, efficiency and risk
• Model metrics on data accessibility, interaction, accountability
and time to value
• Address business outcomes that are personal, operational, and
organizational
• Build an information platform that translates tribal knowledge
into organizational IP

24. Visit www.paxata.com/schedule-a-demo/
Request a demo and get a free
data prep value assessment!