WhereScape is thrilled to invite you to...
Developers’ Best Friend: WhereScape Saves Countless Hours
Development teams often struggle with an imbalance between building new features and maintaining existing code. According to studies, up to 75% of a developer’s time is spent debugging and fixing code, much of it due to manual processes. This results in 620 million developer hours wasted annually, costing companies around $61 billion!
Manual Debugging and Its Challenges
Manual debugging can be incredibly time-consuming, especially when dealing with complex, interdependent code. As one software engineer put it: “Making code do what it’s supposed to do is the easy part. Handling the myriad ways it can go wrong is the real work.” This sentiment echoes throughout the development community, as debugging tends to be the most frustrating and time-consuming aspect of software creation. Barry Morris, CEO of Undo, highlighted the urgency for organizations to reduce the time spent on finding bugs, emphasizing that automation could significantly simplify the debugging process.
WhereScape directly addresses these challenges by automating many of the tedious tasks that bog down development teams. With WhereScape RED and 3D, data infrastructure creation is streamlined through the automation of script generation, data flow management, and even documentation. This process can eliminate up to 95% of manual hand coding and debugging, thereby reducing the risk of errors and freeing up valuable time for developers to focus on building new features and improving code quality.
Reducing Debugging Time and Enhancing Productivity
WhereScape’s automation tools are designed to streamline the debugging process, allowing development teams to focus on innovation rather than maintenance. On average, developers spend up to 15 hours a week on bug resolution, with reproducing bugs alone taking up to a quarter of their time. WhereScape’s automated testing helps shift the focus away from being reactive to proactive, enabling developers to refine data models and deliver new capabilities.
WhereScape’s solutions offer seamless integration into existing workflows, flexibility for future growth, and support for large-scale data management projects. By conducting proper planning, trials, and evaluations, companies can ensure that the selected tools align with their project requirements and fit seamlessly into their development process.
Boosting Accuracy and Simplifying Complex Code
As a product evolves, the scope of regression testing grows, making it difficult to test every part manually. Testing is another prime opportunity in which automation can save myriad time and effort. For example, one company using automated testing managed to cover 80% of their regression testing scope, drastically reducing bugs in production. Automation speeds up application feedback and ensures higher test accuracy, eliminating the possibility of human error. As a result, organizations can reduce the 30x longer time typically spent on debugging compared to writing new code.
Automated testing also enables faster releases, quicker updates, shorter development cycles, and more frequent delivery to market. This increased testing speed allows for broader test coverage and identifies issues earlier, reducing overall debugging time.
WhereScape’s automation not only accelerates testing and debugging but also reduces code complexity by promoting best practices like minimizing code coupling. This simplification improves the onboarding process for new developers, helping them become productive faster without getting overwhelmed by complex codebases.
Give Your Team Time Back with WhereScape
WhereScape automation drastically reduces debugging time, enhances code quality, and saves companies both time and money. By eliminating repetitive tasks, WhereScape enables development teams to focus on high-value projects and strategic data initiatives. The impact of this shift is immense, as it boosts productivity, speeds up time-to-market, and ultimately allows organizations to reclaim valuable time and resources.
Speak with one of our experts to learn how you can save your team countless hours of development work.
What Makes A Really Great Data Model: Essential Criteria And Best Practices
By 2025, over 75% of data models will integrate AI—transforming the way businesses operate. But here's the catch: only those with robust, well-designed data models will reap the benefits. Is your data model ready for the AI revolution?Understanding what makes a great...
Guide to Data Quality: Ensuring Accuracy and Consistency in Your Organization
Why Data Quality Matters Data is only as useful as it is accurate and complete. No matter how many analysis models and data review routines you put into place, your organization can’t truly make data-driven decisions without accurate, relevant, complete, and...
Common Data Quality Challenges and How to Overcome Them
The Importance of Maintaining Data Quality Improving data quality is a top priority for many forward-thinking organizations, and for good reason. Any company making decisions based on data should also invest time and resources into ensuring high data quality. Data...
What is a Cloud Data Warehouse?
As organizations increasingly turn to data-driven decision-making, the demand for cloud data warehouses continues to rise. The cloud data warehouse market is projected to grow significantly, reaching $10.42 billion by 2026 with a compound annual growth rate (CAGR) of...
Mastering Data Vault Modeling: Architecture, Best Practices, and Essential Tools
What is Data Vault Modeling? To effectively manage large-scale and complex data environments, many data teams turn to Data Vault modeling. This technique provides a highly scalable and flexible architecture that can easily adapt to the growing and changing needs of an...
Scaling Data Warehouses in Education: Strategies for Managing Growing Data Demand
Approximately 74% of educational leaders report that data-driven decision-making enhances institutional performance and helps achieve academic goals. [1] Pinpointing effective data management strategies in education can make a profound impact on learning...
Future-Proofing Manufacturing IT with WhereScape: Driving Efficiency and Innovation
Manufacturing IT strives to conserve resources and add efficiency through the strategic use of data and technology solutions. Toward that end, manufacturing IT teams can drive efficiency and innovation by selecting top tools for data-driven manufacturing and...
The Competitive Advantages of WhereScape
After nearly a quarter-century in the data automation field, WhereScape has established itself as a leader by offering unparalleled capabilities that surpass its competitors. Today we’ll dive into the advantages of WhereScape and highlight why it is the premier data...
Data Management In Healthcare: Streamlining Operations for Improved Care
Appropriate and efficient data management in healthcare plays a large role in staff bandwidth, patient experience, and health outcomes. Healthcare teams require access to patient records and treatment history in order to properly perform their jobs. Operationally,...
WhereScape 3D 9.0.4 Now Available: Integrate with Microsoft Purview
We are excited to announce the release of WhereScape 3D Version 9.0.4, which is packed with new enhancements, highlighted by the integration with Microsoft Purview. Additional features include advanced data profiling for custom connections, Pebble extensions for...
Related Content
What Makes A Really Great Data Model: Essential Criteria And Best Practices
By 2025, over 75% of data models will integrate AI—transforming the way businesses operate. But here's the catch: only those with robust, well-designed data models will reap the benefits. Is your data model ready for the AI revolution?Understanding what makes a great...
Guide to Data Quality: Ensuring Accuracy and Consistency in Your Organization
Why Data Quality Matters Data is only as useful as it is accurate and complete. No matter how many analysis models and data review routines you put into place, your organization can’t truly make data-driven decisions without accurate, relevant, complete, and...
Common Data Quality Challenges and How to Overcome Them
The Importance of Maintaining Data Quality Improving data quality is a top priority for many forward-thinking organizations, and for good reason. Any company making decisions based on data should also invest time and resources into ensuring high data quality. Data...
What is a Cloud Data Warehouse?
A cloud data warehouse is an advanced database service managed and hosted over the internet.