assure data quality. mitigate project risks

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What is data quality? Why is data quality important for businesses? What makes managing data quality a challenge? How can businesses define and drive SMART data quality improvements in their organizations? This presentation gives you a point of view from DvSum - a data quality solutions company and how they are addressing these questions with their Cloud based DataPARC solution.

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Page 1: Assure Data Quality. Mitigate Project Risks
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Definitions

“Data Quality refers to the availability, integrity and application efficiency of data.”

“Data Profiling is the process of examining data to determine its structure, content, statistics and relationships.”

“Data Validation is the process of ensuring that applications operate on clean, correct and useful data. This is done by checking the fitness, accuracy and consistency of data.”

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WHYDATAQUALITY?

“Data Quality problems cost US businesses more than $600 billion a year. “

- THE DATAWAREHOUSING INSTITUTE

“Data is King.“ - SOMEBODY, SOMEWHERE

“Data quality is the leading cause of delays in IT projects. Managing data quality is difficult due to lack of ownership, manual processes, lack of visibility.”

- SOMEBODY, SOMEWHERE

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WHAT MAKESMANAGING DATA QUALITYDIFFICULT?

Lack of Ownership• Data is owned by business• Most DQ initiatives are IT

focused

Lack of Governance• Not Quantified• Not a formal metric

Lack of Automation• Labor intensive• Not repeatable• Not scalable

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WHY DOES IT MATTER FORBUSINESSSERVICESVENDORS?

Hosting & Managed Services• Impacts SLAs• Impacts Cost of Service• Opens opportunities for

Value-added Services

Consulting Services & SIs• Competitiveness of

proposals• Impacts quality of solution• Impacts project cost &

schedule

SI – System Integrators

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CHALLENGESWITHDATA QUALITYTOOLS TODAY

Cloud based Tools Software-as-a-Service× Technical tools only meant

for IT× Limited functionality× Not scalable× Security concernsSI – System Integrators

Enterprise Tools Rich in functionality× Technical tools only meant

for IT× Long lead-time for

deployment× License based – capital

invest× High TCO× Domain specific

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INTRODUCING

DataPARCBy

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DataPARC

Why is it different? Only hybrid cloud / on premise DQ solution in market Only DQ solution that works with any data on any data source anywhere in the enterprise Setup and configuration faster than anything else in the market Designed for both Business and IT Use it on PC, Tablet or Mobile

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“PARC your data”© with DvSum

Audit & Review Comply

Execute tests

Review Results

Root-cause analysis

Action Items

Profiling

Data Discovery

ModelingSelf-

diagnostics

Resolution, Performance

Measurement, Accountability

Profile

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DataPARC

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DataPARC

PREDICTIVE MODELING• Write queries in plain English

statements. • System translates into

structured data queries.

Tool for Business as much as for IT

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DataPARCAutomated, Personalized, Actionable Notifications

Run Digest for each user• Run Summary & Trends• Audits by Validation Groups• Net new exceptions• All high priority exceptions

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DataPARCDrive Compliance through SMART measurements

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DataPARC

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1. Information Security Program

• Incident Response Plan

• Change Control Process

• Notification Procedures

2. Application architecture Security

• SQL Injection Prevention

• Security Management of application

• Account level security for each request

3. Data Security

• Sensitive data encrypted at rest

• Full SSL between application and user

• SSL between user and client data

• Controlled access by roles within each account

4. System & Network Security

• Logging• Vulnerability scans• Penetration Testing• No firewall

exceptions / port openings required

5. Data Center Security

• Extreme reliability and redundancy

• SOC2 (previously SAS 70 Type II) compliant data center

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Analyzing data has never been easier

ExecuteDefine rules

Define a data source

From start of setup to executing 1st audit in 1 hour

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Value Proposition – Why DvSum? s• Business user

first design• Patented

method• Compliance

workflow

Our solution

• deep experience in data, business analytics

• with real customers

Our Team

• Speed of configuration

• Competitive pricing

Return on Investment

• Customer Influence on our roadmap

• Portability

Fit for your needs

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DvSumData Quality Management & Analytics on the Cloud

[email protected]

DvSum is a software solutions company with a simple guiding principle: “Data is King”. DvSum uses patented technology to provide Data Quality Management solution on the Cloud. We are here to help companies reduce project risks, boost productivity and save money by focusing on improving the quality of data.

DvSum is headquartered in Bethesda, Maryland, USA.