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Data Masking
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Data Pipeline

November 29, 2023

Synthetic Data Tools via Data Products are a Win-Win for Enterprises

Learn how a data product approach enables all synthetic data generation methods and use case examples with just 1 set of self-service synthetic data tools.

Synthetic Data Generation

November 28, 2023

Data Mesh Data Product Platform

A data mesh data product is an autonomous, standardized data unit that includes datasets, metadata, code assets, and policies managed by a dedicated owner.

Data Products

November 27, 2023

Test Data Integrity Ensures Superior Test Data Masking

Test data integrity ensures that the data used in testing is accurate, consistent, and reliable, to prevent errors in storage, retrieval, and processing.

Data Masking

November 27, 2023

Synthetic Data Generation Lifecycle Management: Worth the Effort

Synthetic data generation lifecycle management is the process of creating, validating, and maintaining synthetic data that's lifelike yet protects privacy.

Synthetic Data Generation

October 24, 2023

K2view a Leader in the 2023 SPARK Matrix for Data Masking Tools

Quadrant Knowledge Solutions announced today that it has named K2view as a 2023 technology leader in the SPARK Matrix: Data Masking, 2023.

Data Masking

October 12, 2023

Synthetic Data Use Cases for Every Company

Learn why and how synthetic data is a game changer in the realms of software application development and ML model training in practically every industry.

Synthetic Data Generation

October 9, 2023

Synthetic Test Data Generation: Scalable, Reliable, and Powerful

Discover why enterprises rely on synthetic test data generation to test their applications – at lower risk and higher scale – without endangering privacy.

Synthetic Data Generation

September 26, 2023

Fake Data + (Masked) Real Data = Best Test Data

Discover why combining fake data with masked real data leads to the most effective data for testing enterprise software quickly, safely, and at scale.

Synthetic Data Generation

September 13, 2023

Synthetic Data Examples that’ll Knock Your SOX Off

There’s a lot to learn from real-world synthetic data examples in highly regulated industries like financial services, healthcare, retail, and e-commerce.

Synthetic Data Generation

September 10, 2023

Synthetic Data Solutions Power Data-Driven Innovation

Learn how to realize the full potential of your data – while safeguarding individual privacy and maximizing data security – with synthetic data solutions.

Synthetic Data Generation

September 4, 2023

How to Choose the Right Synthetic Data Company

With so many synthetic data companies on the market, this guide will help you understand which factors to consider and prioritize when choosing a partner.

Synthetic Data Generation

August 29, 2023

Why Companies Generate Synthetic Data

Companies generate synthetic data as a fast, scalable way to test software and train ML models without compromising user privacy. But that’s not all…

Synthetic Data Generation

August 17, 2023

Synthetic Data in Healthcare: Critical Care for Patient Privacy

Learn how synthetic data in healthcare lets medical practitioners share data on clinical trials and drug development without revealing patient identities.

Synthetic Data Generation

August 14, 2023

Synthetic Financial Data: Risk-Free Economic Insights

Financial analysts walk a legal tightrope when researching and testing real data. That’s where synthetic financial data comes in. Read on to learn more.

Synthetic Data Generation

August 7, 2023

Generative AI Synthetic Data Techniques: Leverage the Power

Learn why synthetic data based on generative AI is a safe efficient alternative to real-life data that's revolutionizing how we provide risk-free insights.

Synthetic Data Generation

July 31, 2023

How to Create Synthetic Data

Learn how to create synthetic data, which mimics the structure and characteristics of real-life data to protect Personally Identifiable Information (PII)....

Synthetic Data Generation

July 24, 2023

How to Address Your Test Data Management Challenges

Effectively addressing test data management challenges, improves agility, software quality, cost efficiencies, data compliance, and employee experience.

Test Data Management

July 17, 2023

Why Do Organizations Synthesize Data?

To synthesize data is to create fake data that mimics the characteristics and patterns of real information to protect the identities of the data subjects.

Synthetic Data Generation

July 10, 2023

Synthetic Patient Data: Powering Advanced Medical Research

Synthetic patient data is artificially created medical data used for research and treatment improvement efforts that doesn’t infringe on patient privacy.

Synthetic Data Generation

June 18, 2023

How to Calculate Test Data Management ROI

Investing in test data management (test data creation, storage, and provisioning) delivers better quality apps, at lower cost, with quicker time to market.

Test Data Management

April 3, 2023

What is K Anonymity and Why Data Pros Care

K anonymity is a data anonymization technique used to protect individual privacy in a dataset, involving PII generalization, masking, or pseudonymization.

Data Anonymization

March 16, 2023

What is Pseudonymization?

Pseudonymization substitutes codes for personally identifiable information in a dataset, while maintaining data functionality for analytics and operations.

Data Anonymization

February 8, 2023

Data Migration Testing: What You Need to Know

Data migration testing enables the successful and secure movement of data. Discover how comprehensive testing overcomes complexity and prevents disruption.

Data Migration

January 30, 2023

Which Data Migration Strategy is Right for Your Business?

Learn about the 6 most common types of data migration, and the advantages and disadvantages of 3 different data migration strategies, in this article.

Data Migration

December 27, 2022

How to Build a Data Migration Plan: A Step-by-Step Tutorial

A good data migration plan is key to ensuring successful migration to the cloud. Build the right plan for your organization using this comprehensive guide.

Data Migration

December 13, 2022

What is Cloud Data Migration?

What does cloud data migration mean, and what can enterprises do to enable a smooth transition from on-prem systems to the cloud? Keep reading to find out.

Data Migration

December 1, 2022

Top 6 Requirements for Data Migration Software

Cloud-based digital transformation is making data migration software a key component for every enterprise. Here’s what to look for, and what to avoid.

Data Migration

November 8, 2022

Single Customer View in 5 Steps

An integrated, single customer view continues to evade most enterprises. What is it and how can businesses achieve a 360° view of the customer in 5 steps?

Customer 360

October 23, 2022

Key Customer 360 Use Cases, and How Data Products Support Them

Post-M&A Customer 360 use cases illustrate the complex challenge of aggregating and organizing data. Read on to see how a data product approach can help.

Customer 360

October 2, 2022

Overcoming the Challenges of Customer Data Integration

Customer data integration, the key ingredient of Customer 360, continues to evade most enterprises. Why is that, and what can be done about it? Read on to find...

Customer 360

August 30, 2022

Customer Data Management Platform: 3 Keys to Getting it Right

A customer data management platform is a software solution that provides you with a 360° view of your customers and their needs. Here are 3 CDM must-haves.

Customer 360

July 31, 2022

Data-Driven Personalization – Not Sorry to Make This Personal

Intrusive or not, today’s consumers are more accepting of data-driven personalization. With Customer 360 based on data products, enterprises deliver a more...

Customer 360

April 5, 2022

What is Reverse ETL?

Although data warehouses and lakes are often associated with offline analytics, Reverse ETL can operationalize actionable insights to make a direct and ongoing...

Data Pipelining

February 9, 2022

What is a Data Product Manager?

To overcome the disconnect between business and IT, enterprises need to employ Data Product Managers – and a data management platform based on real-time data...

Data Products

January 27, 2022

iPaaS: A Better Approach to the Cloud Data Pipeline

With the rising need for self-service data integration, enterprises require a more effective cloud data pipeline solution. iPaaS, based on data products, is...

Data Pipelining

January 25, 2022

What is Cloud Data Integration? A Practical Guide

This article explains "What is Cloud Data Integration?" and goes on to discuss its benefits, challenges, requirements, and a novel Enterprise iPaaS Platform...

iPaaS

January 13, 2022

Here’s What a Fast, Accurate Cloud Integration Platform Looks Like

As enterprises expand to the cloud, the need for a cloud integration platform is clear. But not all solutions deliver the speed and precision you require.

iPaaS

January 9, 2022

iPaaS – The Express Lane to Cloud Integration Services

Cloud integration services are revolutionizing the way enterprises approach data, security, and business insights. Read about the drivers, benefits, and...

iPaaS

December 12, 2021

iPaaS Vendors and Market Guide

Today’s enterprises are highly focused on data integration, with the global iPaaS market expected to reach $10 billion by 2025, with a 5-year CAGR of more than...

iPaaS

November 14, 2021

What Every Enterprise Should Know about Today’s iPaaS Solutions

What should enterprises be looking for, among the various iPaaS solutions available today?

iPaaS

October 24, 2021

Building a Data Pipeline Architecture for the Enterprise

Building an effective data pipeline architecture is challenging, especially when enterprise requirements – like scale, speed, and security – are taken into...

Data Pipelining

October 7, 2021

What are ETL Tools? Advantages, Disadvantages and Innovations Revealed

Find out how the ETL method of data integration enhances enterprise data pipelines, and how eETL overcomes the most difficult challenges. Learn more here....

Data Pipelining

September 17, 2021

4 Key iPaaS Integration Guidelines

This article examines the 4 key guidelines that enterprises should follow when evaluating iPaaS integration solutions. Continue reading to learn more.

iPaaS

August 19, 2021

Avoid Data Lake Failures with Data Quality Management Best Practices

The growing dependence on big data is often met with statistics showing that many data lake projects fail because they did not adhere to data quality...

Data Pipelining

August 12, 2021

Building Data Pipelines: Capabilities, Benefits, and Challenges

What are the challenges and benefits of building data pipelines? This article examines all the requirements, and a data product approach that has them all.

Data Pipeline

August 5, 2021

Data Integration with Data Products Optimizes your Data Pipeline

More than 80% of enterprises consider data integration a critical component in their ongoing business operations, so choosing the right way to integrate data...

Data Pipelining

July 20, 2021

Automated Data Preparation – 4 Issues and 4 Answers

Today’s “automated data preparation” tools aren’t really automated. This article discusses 4 key challenges on the road to automation, and 4 ways to overcome...

Data Pipelining

June 23, 2021

7 Data Preparation Steps to Cleaner Data Lakes

The data preparation process is critical, due to the importance of maintaining clean, high-quality data for operational and analytical workloads. Here are 7...

Data Pipelining

June 20, 2021

Your Data Preparation Process Needs Data Fabric, Not Standalone Tools

For your data preparation process, use a data fabric architecture on a Data Product Platform, instead of an assortment of standalone tools.

Data Fabric

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K2VIEW BLOG

Unleashing the Power of Agentic AI: K2view Data Agent Builder Has Arrived

Gil Trotino

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