8 Point Guide to Choosing a Data Quality and Enrichment as a Service Vendor

Read this eBook to understand that the data quality and enrichment vendor you select should be able to deliver rock-solid core capabilities and address all criteria.


Data is the most strategic asset that any organization can own. Pristine data embodies your organizational truth and provides the foundation for almost any strategic initiative on which you may embark. High quality data depicts where you are in your growth trajectory, helps you formulate a plan for where you want to go, and informs the path you should follow to get there.

Regardless of the business initiative, the higher the quality of data you work with, the more reliable your results—and the more confidence you have in them.

8 Point Guide to Choosing a Data Quality as a Service Vendor
How do you find all these data sources

High quality data underpins a variety of business use cases including:

Entity Identification

  • Cleansing and validating customer names, addresses, phone numbers, etc. to create master records
  • Enriching data with location intelligence and socioeconomic information

Operational Insight

  • Improving confidence in the results, simplifying compliance, and enhancing customer engagement
  • Using postal and location data to find and verify the best possible address for your business needs
  • Validating data at checkout through throughout the enterprise

Location-Based Insights

  • Leverage spatial relationships to reveal hidden context that is critical to improve targeting, reduce costs, enhance business processes, and increase revenue
  • Unlock deeper insights into geographies, customers, demographics, and their buying power driving more informed, better business decisions precisely

Insights from Enrichment Data

  • Enrich your enterprise data with over 400 datasets containing more than 9,000 attributes that are ready for use, consistent, and regularly updated
  • Leverage relevant context using standard data like points of interest or property attributes, dynamic data like demographic movement or weather changes over time

Data Quality as a Service

Software as a Service (SaaS) delivers applications over the Internet in a cloud-based or hosted model. Data Quality as a Service (DQaaS) is composed of data quality capabilities (not an application) that run on cloud platforms, providing data quality services in the cloud. DQaaS clients typically order these services on demand from cloud vendors and often use them on a subscription basis. These services are integrated inside other business systems and applications, such as CRM, ERP, ecommerce, etc.

Clearly, the benefits of high-quality data are many. However, common routes to secure such quality levels still rely on on-prem software installations, a strategy that may require more time, investment, and resource than many companies can afford. In these situations, savvy enterprises look to the cloud. Using a cloud-based solution, such as
Data Quality as a Service (DQaaS), these companies reap high-impact benefits such as:

  • Fast time-to-value.
  • No need to secure in-house skills to deploy, manage, maintain an on-prem solution.
  • No installation issues or maintenance requirements.
  • Flexible consumption options that meet data quality improvement and enrichment thresholds.
  • Scalable usage models that offer value-based pricing.

Core capabilities to consider

Monitoring for Deviations

Data quality refers to the reliability of data. Core data quality capabilities are the minimum acceptable standards that any vendor should deliver to improve data quality.

If data is to be considered as having quality, then at a minimum, it must be:

  • Accurate: The data needs to be correct.
  • Complete: The data present is a large percentage of the total amount of data needed.
  • Unique: Unique datasets are free of redundant or extraneous entries.
  • Valid: Data conforms to the syntax and structure defined by the business requirements.
  • Timely: Data is sufficiently up to date for its intended use.
  • Consistent: Data is consistently represented in a standard way throughout the dataset.

For any data-driven initiative, quality data must meet all these criteria— the absence of any one can compromise business outcomes.

The data quality vendor you select should be able to deliver rock-solid core data quality capabilities and address all these criteria.

When searching for a data quality and enrichment as a service solution, there are eight factors to consider:

1. Powerful data quality capabilities

The truth is that data quality capabilities vary wildly by vendor. Some vendors will be able to execute on some of the above data quality criteria. Only a few vendors will be capable of tackling them all.

Select a vendor with experience, expertise, and a broad breadth of proven data quality capabilities that include quality improvement, superior matching, deduplication, address validation, and an extensive data enrichment portfolio.

2. Meaningful data enrichment across the globe

The global reach of data enrichment capabilities is equally important. Businesses need answers that are meaningful to them, and data that provides context is key. Look for a vendor experienced in partnering with global enterprises and focused on ensuring that all data sets are structured with consistency, quality, and accuracy. A robust data enrichment portfolio should combine critical business data, like address and geospatial data, with location-based insights to produce powerful contextualized information, revealing critical relationships and fueling more confident decisions.

The breadth and depth of the data enrichment portfolio should also play a role in decision-making since working with multiple data vendors often requires significant time commitments and specialized skills not always available in-house. An extensive offering of datasets includes static data and dynamic data sets. Static data, like geodemographics, census information, world points of interest, world boundaries, and postal code boundaries, are critical for enrichment. Dynamic data sets provide a dimension of context, related to time, like weather changes or the flux of people in commercial zones.

On-demand enrichment services should combine outstanding flexibility with the power of high-volume batch processing. Options should include standalone and combined capabilities that address your specific business needs and append your data with information that provides insight. Look for enrichment options that apply across your own first-party internal data, second-party data you procure from partners or specialized vendors, and third-party behavioral and demographic data. Enterprises, with large volumes of customer information that must be enriched regularly, will want to work with a vendor able to scale with business demands—a vendor able to process thousands of data attributes in a single web service call.

Identify potential data sources


invest in new ways to catalog

3. Flexible consumption options

Organizations need the flexibility to access cloud data quality capabilities when required, while retaining control of their most critical data onpremises. In situations where implementing data quality is a challenge, or there is a need to scale cleansing and enrichment services quickly, timely access to an on-demand solution is required.

Find a vendor that offers the same core data quality capabilities that fit your specific needs, whether on-premises, cloud-hosted, or hybrid cloud.

4. Customizability

The ability to customize what capabilities are applied to corporate data (e.g., address validation, data enrichment, etc.) provides companies with data quality options and an adherence to existing business processes that may not be available otherwise. Look for solutions that offer a data quality enrichment service that are configurable to your business needs and do not force you to adapt to a rigid framework, and make sure that it is solving a specific business problem.

5. Scalability

The elasticity of the cloud allows organizations to scale up or scale down based on computing requirements and budget. Vendors that align with these needs will offer pricing packages designed to support organizations as they mature and their data volumes grow.


6. Security

You must find a vendor that makes security and compliance a top priority. Ask questions to validate that only authorized users can see your data. Ensure that intrusion detection and cybersecurity software is in place so that only authorized users are allowed to access your data, and verify that data is encrypted both in transit and at rest.

7. Availability

Look for a cloud provider that offers regional coverage, fail-over redundancies, and 24/7 availability. Ask for Service Level Agreements that adhere to your organization’s uptime requirements.

8. Integration into the enterprise ecosystem

Once the validation and enrichment processes are performed, it is important that the resulting high-quality data can easily be integrated back into the business. This may include integrations with your CRM and ERP application and other integration options to allow this data to easily become part of the overall enterprise ecosystem.

Precisely Can Help

Keep pace at the speed of business Spectrum OnDemand

Precisely hosts Spectrum OnDemand, a SaaS-based solution optimized to provide scalable data quality improvement and enrichment services, in the cloud. Spectrum OnDemand delivers the entire range of data quality capabilities outlined in the core capabilities section above.  With Spectrum OnDemand from Precisely, you’ll have access to the most advanced data quality and validation services available via reliable, scalable cloud computing. To address specific data quality needs painlessly and quickly, we offer API services, or we can configure the solution to address your specific business challenges.






tap the maximum potential of the data in your systems

Look beyond datasets with a data partner.

Building on more than 20 years of data-domain expertise, Precisely provides customers with high-quality, enriched insights that fuel innovation and power decision-making at scale. Our products and services enable our customers to spend more time using data to improve business outcomes and less time sourcing, preparing, quality checking, and updating information. Our products are built on data from more than 130 suppliers. Our work evaluating these suppliers saves businesses the time and complexity of vetting them. The result? Over 400 datasets and 9000 data points designed to work together and standardized for coverage, completeness, accuracy, currency, and consistency, designed to meet your needs.

The data portfolio includes:

  • Precisely Addresses: Provides accurate address and property information
  • Precisely Boundaries: Delivers authoritative, comprehensive geography (attributed vector GIS datasets)
  • Precisely Risk Data: Provides rich context about hazard boundaries related to flood, fire, earthquakes, and weather.
  • Precisely Demographics: Connects your data to people and places
  • Precisely Points of Interest: Adds global business and company profile information
  • Precisely Streets: Provides spatially accurate mapping and routing

By leveraging powerful data quality and enrichment services in the cloud, Spectrum OnDemand gives you the power to know your customers, inform your actions, and understand your risks.


Read the full eBook

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.