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Jun 18 2024

Introducing Actian’s Enhanced Data Quality Solutions: Empower Your Business with Accurate and Reliable Data

We are pleased to announce that data profiling is now available as part of the Actian Data Platform. This is the first of many upcoming enhancements to make it easy for organizations to connect, manage, and analyze data. With the introduction of data profiling, users can load data into the platform and identify focus areas, such as duplicates, missing values, and non-standard formats, to improve data quality before it reaches its target destination.

Why Data Quality Matters

Data quality is the cornerstone of effective data integration and management. High-quality data enhances business intelligence, improves operational efficiency, and fosters better customer relationships. Poor data quality, on the other hand, can result in costly errors, compliance issues, and loss of trust.

Key Features of Actian’s Enhanced Data Quality Solutions

Advanced Data Profiling
Our advanced data profiling tools provide deep insights into your data’s structure, content, and quality. You can quickly identify anomalies, inconsistencies, and errors by analyzing your data sources and leveraging pre-defined rule sets to detect data problems. Users can also create rules based on the use case to ensure data is clean, correct, and ready for use.
Data Cleansing and Enrichment
Actian’s data cleansing and enrichment capabilities ensure your data is accurate, complete, and up-to-date. Our automated processes isolate data that does not meet quality standards so data teams can act before data is moved to its target environment.
Data Quality Monitoring
With real-time data quality monitoring, you can continuously assess the health of your data. Our solution provides ongoing validation, enabling you to monitor deviations from predefined quality standards. This continuous oversight helps you maintain data integrity for operational and analytics use.
Flexible Integration Options
Actian’s data quality solutions seamlessly integrate with various data sources and platforms. Whether you’re working with on-premises databases, cloud-based applications, or hybrid environments, our tools can connect, cleanse, and harmonize your data across all systems.
User-Friendly Interface and Dashboards
Our intuitive interface makes managing data quality tasks easy for users of all skill levels. Detailed reporting and dashboards provide clear visibility into data quality metrics, enabling you to track improvements and demonstrate compliance with data governance policies.

Transform Your Data into a Strategic Asset

Actian’s enhanced Data Quality solutions empower you to transform raw data into a strategic asset. Ensuring your data is accurate, reliable, and actionable can drive better business outcomes and gain a competitive edge.

Get Started Today

Don’t let poor data quality hold your business back. Discover how Actian’s enhanced Data Quality solutions can help you achieve your data management goals. Visit our Data Quality page to learn more and request a demo.

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The post Introducing Actian’s Enhanced Data Quality Solutions: Empower Your Business with Accurate and Reliable Data appeared first on Actian.

Introducing DataConnect 12.2

We are pleased to announce the general availability of DataConnect 12.2. This release furthers our commitment to making it easy for our integration customers to connect, transform, and analyze data. With this release, customers will now have a faster path to the cloud using the Actian Data Platform to deploy existing integrations to cloud-based environments.

Highlights of the release include:

Bulk deployment of integrations to the Actian Data Platform

Previously, customers would need to deploy integrations to the Actian Data Platform individually. Customers can now take existing, or new .djars (projects/workflows) and deploy them to Integration Manager in bulk. This allows designers to expose integrations faster in cloud environments and applications.

EZScript Debugger Capability

The EZScript debugger makes designing and validating maps and processes that leverage EZScript much easier. Users can set breakpoints and test desired or expected behavior of EZScripts. Now all the debugging can be done in line with the DataConnect Studio editor. Engine execution pauses based on the breakpoints the user sets and values are displayed for any variable, macro, or object.

Integration Manager Client is now available in DataConnect Studio

This provides the ability to log into Integration Manager from the DataConnect Studio, browse existing configurations, and download the .djar and project files to the DataConnect studio if desired. Users have the option to explode the .djar files and import all the contents to a new project. This benefits clients that need to troubleshoot, edit, or extend integrations in Integration Manager.

New troubleshooting assistant

Provides detailed information about errors, suggestions on error resolution, as well as links to the Actian community posts and relevant help topics.

UX enhancements

For macros, Process Designer, message objects, and browsing. Macros can be created, edited, and accessed inline using DataConnect Studio and saved for reuse in the macro library.

Improved Data Quality metrics

Profile data to ensure data quality, including the ability to perform fuzzy matching across multiple fields in a dataset to identify duplicate records.

Direct upgrade

For customers on version 9 or later – full backward compatibility.

Click here to access the full release notes.

The post Introducing DataConnect 12.2 appeared first on Actian.

Discover the Top 5 Data Quality Issues – And How to Fix Them!

‍Poor quality data can lead to inaccurate insights, wasted resources, and decreased customer satisfaction. It is essential to ensure that all of your data is accurate and up-to-date to make the best decisions. Still, common issues and mistakes costs organizations millions of dollars annually in lost revenue opportunities and resource productivity.

Thankfully, these pitfalls are well known, and easy to fix!

Duplicate Data

Duplicate data occurs when the same information is entered into the same system multiple times. This can lead to confusion and inaccurate insights. For example, if you have two records for the same customer in your CRM system, notes, support cases, and even purchase data can be captured on different records and leave your organization with a fractured view of a single customer.

Missing Data

Perhaps worse than having duplicate data is having incomplete data. Missing data occurs when some of the necessary information is missing from the system and can lead to incomplete insights. Many systems allow application owners to determine required data fields to prevent missing data.

Outdated data

While capturing and retaining historical data can be very beneficial, especially regarding customer data, it’s critical that data is kept current. It’s essential to have a regular process to ensure that your organization purges information that is no longer relevant or up-to-date.

Inconsistent data

Date formats, salutations, spelling mistakes, number formats. If you work with data, you know that the struggle is real. It’s also probably one of the trickier problems to address. Data integration platforms like DataConnect can allow data teams to establish rules that ensure data is standardized. A simple pass/fail ensures that all your data follows the established formatting standards.

Data timeliness

Imagine buying a house without having the most current interest rate information. It could mean the difference of hundreds of dollars on a mortgage. But many companies are making decisions using days, weeks, or months old data. This may be fine for specific scenarios, but as the pace of life continues to increase, it’s essential to ensure you’re getting accurate information to decision makers as fast as possible.

Tips for Improving Data Quality

Data quality is an ongoing practice that must become part of an organization’s data DNA. Here are a few tips to help improve the quality of your data:

Ensure data is entered correctly and consistently.
Automate data entry and validation processes.
Develop a data governance strategy to ensure accuracy.
Regularly review and audit data for accuracy.
Utilize data cleansing tools to remove outdated or incorrect information.

Data quality is an important factor for any organization. Poor quality data can lead to inaccurate insights, wasted resources, and decreased customer satisfaction. To make the best decisions, it is essential to ensure that all your data is accurate and timely.

Ready to take your data quality to the next level? Contact us today to learn more about how DataConnect can help you start addressing these common quality challenges.

The post Discover the Top 5 Data Quality Issues – And How to Fix Them! appeared first on Actian.

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