Data Profiling
Discover and understand the quality of enterprise data with an automated three-step data profiling process.
Everyone has heard the old adage, "garbage in, garbage out." It applies today more than ever, as business solutions such as ERP, CRM and Business Intelligence can only add value if the data they depend on is accurate, complete and consistent. The quality of an organization's data assets directly impacts the bottom line. This information directly feeds and supports everything from the simplest business process to the highest level strategic decision. The need to analyze data is the foundation of every effective data management strategy.
Data profiling solutions from Pitney Bowes Software provide industry leading-edge data quality functions in a single dataflow environment - so you can make more informed business decisions, reduce management overhead and save money. Our data profiling solutions improve the scope and depth of your data analysis in three key ways:
- Automate traditional analysis techniques to cut analysis time by 90% and provide a better understanding of the data;
- Apply a brute force approach to analyzing data so that analysts are no longer limited to working with sample data.
- Assess data governance rules that cannot easily be discerned with manual coding and inspection, including pattern generation, dependency testing, and join analysis.
Learn more about the Pitney Bowes Software solutions for Data Profiling, including the Spectrum™ Technology Platform, the Data Governance Suite, and the Spectrum Technology Platform Data Normalization Module, or contact us today to discuss your needs.
Reap the benefits of rich, more accurate customer data
Optimize the quality of your customer, vendor and partner records so that you can improve operations across the enterprise. The Spectrum Technology Platform's industry-leading data quality tools will help you generate revenue, boost campaign effectiveness, reduce marketing costs, cut operational costs, increase efficiencies, and comply with regulatory requirements.
Learn more about the Spectrum Technology Platform Quality Platform.
Data governance solutions for real-time control
Capture enterprise data from diverse data sources, profile data quality issues, create rules and thresholds that make sense for your business applications, track and report data resolution issues, and provide automatic alerts to business owners and data stewards. The Data Governance Suite provides powerful tools to profile, manage and monitor the quality of company data, and seamlessly integrates with the Spectrum Technology Platform.
Learn more about the Data Governance Suite.
Accurately and efficiently analyze and diagnose the quality of your data
Profiler Plus helps you discover and understand the quality of your data. Part of the Data Governance Suite, its comprehensive data profiling features and integrated analysis management framework enhances, accelerates, and de-risks your data analysis activities. Learn how you can reduce analysis timeframes by up to 90%, reduce IT project risks with automated, up-front analysis and gain confidence in the quality of your data.
Learn more about Profiler Plus.
Enhance data quality with advanced standardization capabilities
Identify, extract and standardize any data element - ensuring consistent terms are used across any domain. The Spectrum Technology Platform Data Normalization Module enables you to generate the uniform data essential to managing customer relationships effectively.
Learn more about the Spectrum Technology Platform Data Normalization Module.
White paper: Data Profiling Best Practices
As recently as a few years ago, the area of data analysis was a relatively ill-defined area within an organization's IT strategy. Traditional approaches were often time consuming and incomplete. Data profiling tool sets, like Profiler PlusTM from Pitney Bowes Software, allow organizations to more accurately and efficiently analyze and diagnose the quality of their data. By completing a process of analyzing complete data sources as one process, organizations capture a complete understanding of their data assets.
Read the Data Profiling White Paper.