Resources
Blogs
The Importance of Data Cleansing and Matching for Data Compliance
Data compliance standards (such as GDPR, HIPAA, and CCPA, etc.) are compelling corporations to revisit and revise their data management strategies. Although each standard enforces
Using a self-service tool for data preparation
Data cleansing and data preparation are not the same. When you are cleaning data, you are removing inaccuracies, invalidities, and junk from it. But when
Using Data Matching to Resolve Identity Resolution Challenges
Consumers interact with a brand through hundreds of touchpoints across devices, platforms, and channels. During the buyer’s journey, consumers use 3-4 internet-connected devices. And by
How to Improve the Quality of Householding Data and Better Understand Your Customers
A household consists of multiple separate accounts that belong to individuals who are related and are physically living together.
The Duplicate Data Dread – A Guide to Data Deduplication
Duplicate data is a serious problem that affects an organization’s insights, eats up expensive storage space, messes up customer information & leads the business into
Comment identifier les données manquantes, assurer l’exhaustivité des données et maintenir l’exactitude de vos données ?
Les données du monde réel auront toujours des valeurs incomplètes ou manquantes, surtout si elles sont recueillies auprès de plusieurs sources. Des données incomplètes peuvent
How to Identify Missing Data, Ensure Data Completeness & Maintain the Accuracy of Your Data
Research shows that businesses can lose up to $3 of every $10 of revenue due to poor data quality. With incomplete data known to be
What is Data Accuracy, Why it Matters and How Companies Can Ensure They Have Accurate Data.
Inaccurate data has real-world implications across industries. In law enforcement, inaccurate data could mean booking the wrong person for a crime. In healthcare, it could
Why Banks Need Powerful, Agile Data Preparation Solutions for Accurate and Timely Regulatory Reporting
Where there is data, there is regulation. Most of all in the financial industry. Banks, insurance companies and financial institutes must deal with a complex
Address Data Matching Does Not Have to be a Resource-Draining Challenge. Here’s How You Can Do it Better.
Address data is semi-structured, making it one of the most challenging components in a data matching activity. For long now, manual data matching methods including
Data Profiling vs. Data Cleansing – Key Differences, Use Cases & Importance in Current Business Environments
Data errors today can easily cascade into millions in losses and poor data quality can cost businesses up to 31% of their revenue. As the
Classify Product Data: Classification Standards and How to Implement them Painlessly
[vc_row][vc_column][vc_column_text]Accurate product data forms an integral part of a consumer’s purchase decision. From search results to conversions, from brand recognition to comparative product evaluations to
Product Matching: The Key Factor to Accurate Sales and Marketing Intelligence
Product matching is the process of matching identical products from various sources through deep learning technologies. In a competitive landscape, where the customer’s spending habit
The Importance of Product Data Governance for Retail Businesses
Unlike traditional stores, digital retailers rely on the effective categorization and dissemination of their product data on their web pages. So having accurately categorized product data on their
Matching Evolution: Finding Matches Across the Enterprise and Fine Tuning Results the Modern Way
As data undergoes a paradigm shift, so do the systems, processes, and approaches involved. Legacy systems are dying. Batch ETL pipelines are slowly becoming obsolete. Ownership is moving away from IT to
Manage Your Retail Business with a Robust Product Data Quality Solution
Retailer A makes consistently higher sales than Retailer B for the same product, at the same price. Both retailers have 4.5+ star ratings with positive
Why Your Organization Must Have a Data Quality Management Plan to Be Ahead of the Game
Data quality (DQ) and data quality management (DQM) is emerging as a needed business strategy in enterprise-level organizations. Although not a new concept (data quality
Product Taxonomy 101: Categorizing Your Store Hierarchy to Increase Sales
Picture this: You sell phone cases and offer a wide variety on your online store. A shopper visits your site looking for a specific phone
