1. SOLVING KEY FINANCE CHALLENGES WITH DATA PREPARATION
Dan Potter CMO
Doug Ellis Director

2. Agenda What is Data Preparation 5 Key Use Cases in Finance
Demonstration
How to Get Started

3. The Datawatch Promise
You will spend more time analyzing not preparing data
You will access all of the important and trusted data you need

4. What is Data Preparation?
Access
Manipulate
Enrich
Combine
Load
Makes all your data analytics-ready
DAN PRESENTS

5. Embedded and Resold by Industry Leaders
IBM selected Datawatch for:
IBM Watson Analytics
IBM Cognos Analytics
IBM Content Manager on Demand
Dell selected Datawatch for:
Dell Statistica for Predictive Analytics
Dell Edge Gateway for IoT

6. 40,000 Organizations Use Datawatch
Financial Services
Healthcare
Government
Retail
We serve some of the world’s largest, most complex organizations across all industry verticals
1 or 2 use cases, validation examples, display why differentiation matters:
Credit Suisse – land and expand example
Johnson & Johnson -
Other Industries 19

7. Why 40,000 Organizations Use Datawatch?
SPEND LESS TIME PREPARING DATA
Analysts waste up to 80% of their time preparing data versus analyzing
$22,000 per year, 
per analyst wasted

8. Why 40,000 Organizations Use Datawatch?
12%
Relational, Excel, Hadoop, Salesforce, etc.
Only 12% of enterprise data is used to make decisions

9. Why 40,000 Organizations Use Datawatch?
12%
Relational, Excel, Hadoop, Salesforce, etc.
Reports, Web Pages, JSON, Log Files, Machine Data, Streaming Data, etc.
88%
Make Better Decisions

10. Work With Trusted Data Use reports as a data source
Immediately available
Don’t have to wait to move into warehouse
Don’t need access to system
Trusted data
Data used consistently
Incorporates business logic
DAN PRESENTS

11. Utilized Across the Organization
“Analysts”
Financial Analysts
Marketing Analysts
Sales Analysts
Operations Analysts
Use Cases
Visualization & Discovery
Dashboards
Advanced Analytics
Analytics
Broad Array of Users
Finance
Supply Chain
Risk
Sales & Marketing
Use Cases
Reconciliation
Auditing
Compliance
Consolidation
Operations

12. 5 Ways Data Preparation Transforms Finance
Reconciliation
Planning & Budgeting
Audit
Compliance
Sales Performance Management

13. Reconciliation
Finance team was manually reconciling cash and transactions from reports that resided on the mainframe, hand-keying data into Excel.
Provide support for ad hoc analysis for customer service queries and other departments.
“The Datawatch Monarch solution paid for
itself within the first six months, liberating our department from manual data entry and
enabling us to recoup hours a week”
Derek Madison LEADER OF BUSINESS FINANCIAL SUPPORT

14. Reconciliation
Finance organization prepares customer and billing data for reconciliation and analysis
Automation process that preps and combines from multiple sources (MS Access, Excel, .PDF)
Third party billing reports ~170,000 pages every other week
Prepared data delivered to hundreds of accountants and loaded into data mart (600M records monthly)
All artifacts stored and governed with Datawatch Server

15. Demonstration

16. Planning & Budgeting
Legacy accounting and finance application with no ability to manipulate or aggregate data.
Datawatch combines data from multiple sources for cash reconciliation, payroll reporting, labor distribution, budget planning and analysis.
“Monarch is an incredible tool for budget planning and forecasts. Without it, it would take me two full days to create and QA a year-long forecast, but with Monarch it takes five minutes.”
Lorelei Fritsch DIRECTOR OF PLANNING AND ANALYSIS

17. Audit Reduced audit prep time from 15 hours to as little as 2 minutes
Effectively analyze client data from disparate sources faster, with confidence and accuracy
Decrease the unbillable hours spent manually extracting, rekeying and preparing the audit data
Quickly create multiple views of data
Comprehensive audit capability in hours versus days, including fraud identification
Reduced audit prep time from
15 hours to as little as 2 minutes

18. Compliance
Categorize payroll data to comply with ACA and avoid IRS penalties (~$50K)
Data in PDF from legacy payroll system
Extract relevant data, blend with new payroll system, perform calculations, summary reports
91,529
89,529
YEAR 3
YEAR 2
YEAR 1
smartlinx
Saved 2,000-3,000 man hours for a single year of payroll information

19. Sales Performance Management
Need better visibility to sales pipeline changes over the course of the week, month, quarter and Q/Q
Daily pipeline snapshot reports captured daily from Salesforce.com
Automated process to append and aggregate data allowing for analysis of pipeline changes over time and view by group or individual rep

20. Recommended Next Steps
Read the whitepaper
Try it for free datawatch.com

21. Thank You! Dan Potter 978-275-8386 dan_potter@datawatch.com Doug Ellis

22. SOLVING KEY FINANCE CHALLENGES WITH DATA PREPARATION
Dan Potter CMO
Doug Elis Director