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

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

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

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

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

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

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

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

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

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

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

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

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 40-80 hours a week” Derek Madison LEADER OF BUSINESS FINANCIAL SUPPORT

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

Demonstration

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

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

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

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

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

Thank You! Dan Potter 978-275-8386 dan_potter@datawatch.com Doug Ellis 215-740-6412 doug_ellis@datawatch.com

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