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Data Quality

Data Quality is having the correct information, at the right time, in the right place, for the right people to use in order to make effective decisions - to run the organisation, to serve customers, & to achieve goals.

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The volume of data being generated by organisations is expected to grow by at least 50% in the next 5 years. Many  businesses rely on desktop tools such as Microsoft Excel, to find and correct data quality issues. 

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This task becomes increasingly difficult across different systems and applications. Businesses struggle with human errors, data duplication and out of date information. All of which waste valuable time and money.

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Take control of your data with PerfectlyData.

ASSessment

What data issues are currently facing?  

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  • Lack of experience, skills & / or resources? Let PerfectlyData help you to improve your data quality.

  • Old, duplicate, inconsistent data & reporting between systems.

  • No single view or control over different data sources.

  • Manual data entry prone to human error.

  • Decentralised data update / maintenance process.

AWARENESS

The real value of projects and business initiatives can not be delivered without data quality.

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PerfectlyData enables organisations to more effectively achieve these benefits.

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We can port existing queries, or build the controls required, & provide a single dashboard view of data quality issues across the company.

action

Enforce standard procedures & document master data business rules

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Automatically locate existing data errors.

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Prevent future errors by implementing controls.

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Create data ownership and accountability for clearing and correcting errors.

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Utilise out of the box or bespoke data quality controls built by PerfectlyData to your needs.

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Prepares a foundation on which to build data governance.

BENEFITS

Supports most mainstream on-premise & cloud ERP solutions, such as SAP, Salesforce, Azure, SQL server.

 

Delivered "as a service” with no upfront cost and monthly billing.

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Better data quality will deliver:

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  • Measured and visible data quality.

  • Business and IT efficiencies.

  • Drive process optimisations, reducing rework due to bad data,

  • Provide accurate reporting to support business decisions, projects, initiatives and legal requirements.

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