--- title: Viviota Blog | data cleansing description: data cleansing | Viviota Blog --- [![](https://blog.viviota.com/hs-fs/hubfs/Viviota_October2019%20Theme/images/Logo/cropped-Viviota-1-4.jpg?width=150&height=50&name=cropped-Viviota-1-4.jpg)](https://viviota.com/) - [Home](https://viviota.com/) - [Products](https://viviota.com/products/) - [Solutions](https://viviota.com/solutions/) - Resources - [Knowledge Center](https://viviota.com/resources/) - [News & Events](https://viviota.com/news-events/) - [Partners](https://viviota.com/partners/) - Company - [About](https://viviota.com/about/) - [Leadership](https://viviota.com/leadership/) - [Blog](https://blog.viviota.com/) - [Contact](https://viviota.com/contact/) # Viviota Blog # data cleansing ## [Engineering Data Challenges in High-Stakes Industries](https://blog.viviota.com/engineering-data-challenges-in-high-stakes-industries) Posted by [Pete Zogas](https://blog.viviota.com/author/pete-zogas) on Mar 30, 2026 12:30:12 PM - [Tweet](https://twitter.com/share) [![](https://blog.viviota.com/hubfs/AI-Generated%20Media/Images/21%20and%20300175%20In%20a%20dimly%20lit%20office%20a%20weary%20woman%20named%20Sarah%20Thompson%20sits%20at%20a%20cluttered%20desk%20her%20tired%20eyes%20illuminated%20by%20the%20soft%20glow%20of%20her%20lap-1.png)](https://blog.viviota.com/engineering-data-challenges-in-high-stakes-industries) Plan a Strategy to Accelerate Your Organization’s Performance [Read More](https://blog.viviota.com/engineering-data-challenges-in-high-stakes-industries) 0 Comments [Click here to read/write comments](https://blog.viviota.com/engineering-data-challenges-in-high-stakes-industries#comments-listing) Topics: [Test](https://blog.viviota.com/tag/test), [IoT](https://blog.viviota.com/tag/iot), [Viviota](https://blog.viviota.com/tag/viviota), [SAP](https://blog.viviota.com/tag/sap), [Sensors](https://blog.viviota.com/tag/sensors), [automotive industry](https://blog.viviota.com/tag/automotive-industry), [Real-time computing](https://blog.viviota.com/tag/real-time-computing), [U.S. Grand Prix](https://blog.viviota.com/tag/u-s-grand-prix), [Sensor Data](https://blog.viviota.com/tag/sensor-data), [Machine Learning](https://blog.viviota.com/tag/machine-learning), [aerospace](https://blog.viviota.com/tag/aerospace), [ADAS](https://blog.viviota.com/tag/adas), [NIWeek](https://blog.viviota.com/tag/niweek), [ANC](https://blog.viviota.com/tag/anc), [Sensor Data Management](https://blog.viviota.com/tag/sensor-data-management), [data cleansing](https://blog.viviota.com/tag/data-cleansing), [simulation](https://blog.viviota.com/tag/simulation), [webinar](https://blog.viviota.com/tag/webinar), [Smart Factories](https://blog.viviota.com/tag/smart-factories), [Manufacturing](https://blog.viviota.com/tag/manufacturing), [Intelligent Data handling](https://blog.viviota.com/tag/intelligent-data-handling), [Software](https://blog.viviota.com/tag/software), [LabVIEW](https://blog.viviota.com/tag/labview) ## [CES 2026: The Line Between Science Fiction and Engineering Just Disappeared](https://blog.viviota.com/ces-2026-the-line-between-science-fiction-and-engineering-just-disappeared-1) Posted by [Barry Hutt](https://blog.viviota.com/author/barry-hutt) on Jan 29, 2026 9:37:52 AM - [Tweet](https://twitter.com/share) [![](https://blog.viviota.com/hubfs/s%20digital%20thread-1.jpg)](https://blog.viviota.com/ces-2026-the-line-between-science-fiction-and-engineering-just-disappeared-1) [AI Dog CES 2026](https://youtu.be/zwz_OH5peXs) Part 3 — The AI Bottleneck Nobody Is Talking About [Read More](https://blog.viviota.com/ces-2026-the-line-between-science-fiction-and-engineering-just-disappeared-1) 0 Comments [Click here to read/write comments](https://blog.viviota.com/ces-2026-the-line-between-science-fiction-and-engineering-just-disappeared-1#comments-listing) Topics: [Test](https://blog.viviota.com/tag/test), [Big Data](https://blog.viviota.com/tag/big-data), [Analytics](https://blog.viviota.com/tag/analytics), [Viviota](https://blog.viviota.com/tag/viviota), [SAP](https://blog.viviota.com/tag/sap), [Sensors](https://blog.viviota.com/tag/sensors), [automotive industry](https://blog.viviota.com/tag/automotive-industry), [Real-time computing](https://blog.viviota.com/tag/real-time-computing), [COTA](https://blog.viviota.com/tag/cota), [U.S. Grand Prix](https://blog.viviota.com/tag/u-s-grand-prix), [Autonomous Vehicles](https://blog.viviota.com/tag/autonomous-vehicles), [Sensor Data](https://blog.viviota.com/tag/sensor-data), [Machine Learning](https://blog.viviota.com/tag/machine-learning), [aerospace](https://blog.viviota.com/tag/aerospace), [Analog Data](https://blog.viviota.com/tag/analog-data), [ADAS](https://blog.viviota.com/tag/adas), [Hybrid Cars](https://blog.viviota.com/tag/hybrid-cars), [NIWeek](https://blog.viviota.com/tag/niweek), [ESS](https://blog.viviota.com/tag/ess), [ANC](https://blog.viviota.com/tag/anc), [Sensor Data Management](https://blog.viviota.com/tag/sensor-data-management), [data cleansing](https://blog.viviota.com/tag/data-cleansing), [simulation](https://blog.viviota.com/tag/simulation), [webinar](https://blog.viviota.com/tag/webinar), [Smart Factories](https://blog.viviota.com/tag/smart-factories), [Manufacturing](https://blog.viviota.com/tag/manufacturing), [Intelligent Data handling](https://blog.viviota.com/tag/intelligent-data-handling), [Software](https://blog.viviota.com/tag/software), [LabVIEW](https://blog.viviota.com/tag/labview), [Build Back Better Act](https://blog.viviota.com/tag/build-back-better-act), [Digital transformation](https://blog.viviota.com/tag/digital-transformation) ## [Stop Losing Time: How Engineering Data Can Save Millions](https://blog.viviota.com/stop-losing-time-how-engineering-data-can-save-millions) Posted by [Barry Hutt](https://blog.viviota.com/author/barry-hutt) on Mar 31, 2025 3:27:15 PM - [Tweet](https://twitter.com/share) [![Value Chain of Data](https://blog.viviota.com/hubfs/Slide1.png)](https://blog.viviota.com/stop-losing-time-how-engineering-data-can-save-millions) Engineering teams possess an underutilized goldmine in today’s fast-paced industrial landscape: their data. From sensor readings and vibration logs to video, sound, and test metadata, engineering data holds critical insights that can accelerate innovation, reduce costs, and safeguard operations against failure. Yet, a significant portion of engineering time is wasted merely searching for, organizing and wrangling data to make it usable. [Read More](https://blog.viviota.com/stop-losing-time-how-engineering-data-can-save-millions) 0 Comments [Click here to read/write comments](https://blog.viviota.com/stop-losing-time-how-engineering-data-can-save-millions#comments-listing) Topics: [Engineering Data](https://blog.viviota.com/tag/engineering-data), [Big Data](https://blog.viviota.com/tag/big-data), [Analytics](https://blog.viviota.com/tag/analytics), [Viviota](https://blog.viviota.com/tag/viviota), [IIoT](https://blog.viviota.com/tag/iiot), [automotive industry](https://blog.viviota.com/tag/automotive-industry), [Autonomous Vehicles](https://blog.viviota.com/tag/autonomous-vehicles), [Sensor Data](https://blog.viviota.com/tag/sensor-data), [Machine Learning](https://blog.viviota.com/tag/machine-learning), [aerospace](https://blog.viviota.com/tag/aerospace), [Analog Data](https://blog.viviota.com/tag/analog-data), [Sensor Data Management](https://blog.viviota.com/tag/sensor-data-management), [data cleansing](https://blog.viviota.com/tag/data-cleansing), [simulation](https://blog.viviota.com/tag/simulation), [Edge Computing](https://blog.viviota.com/tag/edge-computing), [Manufacturing](https://blog.viviota.com/tag/manufacturing), [Intelligent Data handling](https://blog.viviota.com/tag/intelligent-data-handling), [Build Back Better Act](https://blog.viviota.com/tag/build-back-better-act), [EV](https://blog.viviota.com/tag/ev), [Digital transformation](https://blog.viviota.com/tag/digital-transformation) ## [NVIDIA Show Report: AI & ML Take Center Stage at the "Woodstock of AI"](https://blog.viviota.com/nvidia-show-report-ai-ml-take-center-stage-at-the-woodstock-of-ai) Posted by [Barry Hutt](https://blog.viviota.com/author/barry-hutt) on Mar 25, 2025 9:07:19 AM - [Tweet](https://twitter.com/share) [![](https://blog.viviota.com/hubfs/nivida.jpg)](https://blog.viviota.com/nvidia-show-report-ai-ml-take-center-stage-at-the-woodstock-of-ai) Barry Hutt co-founder Viviota [Read More](https://blog.viviota.com/nvidia-show-report-ai-ml-take-center-stage-at-the-woodstock-of-ai) 0 Comments [Click here to read/write comments](https://blog.viviota.com/nvidia-show-report-ai-ml-take-center-stage-at-the-woodstock-of-ai#comments-listing) Topics: [Engineering Data](https://blog.viviota.com/tag/engineering-data), [Big Data](https://blog.viviota.com/tag/big-data), [automotive industry](https://blog.viviota.com/tag/automotive-industry), [Autonomous Vehicles](https://blog.viviota.com/tag/autonomous-vehicles), [Machine Learning](https://blog.viviota.com/tag/machine-learning), [Analog Data](https://blog.viviota.com/tag/analog-data), [data cleansing](https://blog.viviota.com/tag/data-cleansing), [Edge Computing](https://blog.viviota.com/tag/edge-computing), [Intelligent Data handling](https://blog.viviota.com/tag/intelligent-data-handling), [Digital transformation](https://blog.viviota.com/tag/digital-transformation) ## [Accelerating AI & ML Analysis with TTI’s Data Cleansing Technology](https://blog.viviota.com/accelerating-ai-ml-analysis-with-ttis-data-cleansing-technology) Posted by [Barry Hutt](https://blog.viviota.com/author/barry-hutt) on Sep 23, 2024 6:45:00 AM - [Tweet](https://twitter.com/share) [![](https://blog.viviota.com/hubfs/_Viviota_ASAM_diagram-1.png)](https://blog.viviota.com/accelerating-ai-ml-analysis-with-ttis-data-cleansing-technology)   Accelerating AI & ML Analysis with TTI’s Data Cleansing Technology 4:37     The importance of data preparation has grown exponentially with the rise of AI. Data comes in many forms and formats, including homegrown applications, SQL databases, files, sensors, video, and physics-driven analog data. Traditionally, data cleansing is defined as detecting and correcting (or removing) corrupt or inaccurate records from a dataset, table, or database. The data challenge presented is identifying the data's incomplete, incorrect, inaccurate, or irrelevant parts and then replacing, modifying, or deleting the [dirty](https://en.wikipedia.org/wiki/Dirty_data) or coarse data. [Read More](https://blog.viviota.com/accelerating-ai-ml-analysis-with-ttis-data-cleansing-technology) 0 Comments [Click here to read/write comments](https://blog.viviota.com/accelerating-ai-ml-analysis-with-ttis-data-cleansing-technology#comments-listing) Topics: [Sensor Data](https://blog.viviota.com/tag/sensor-data), [Sensor Data Management](https://blog.viviota.com/tag/sensor-data-management), [data cleansing](https://blog.viviota.com/tag/data-cleansing) ## [Reducing Technical debt and increasing the Value of Data](https://blog.viviota.com/reducing-technical-debt-and-increasing-the-value-of-data) Posted by [Barry Hutt](https://blog.viviota.com/author/barry-hutt) on Sep 10, 2024 1:00:00 AM - [Tweet](https://twitter.com/share) [![](https://blog.viviota.com/hubfs/AI%26ML%20EIS_x900.png)](https://blog.viviota.com/reducing-technical-debt-and-increasing-the-value-of-data) [Please make sure to sign up for this exclusive summit in Novi, MI!](https://go.viviota.com/viviota-at-dataday-registration-2024)   Since our company's inception, we have had the privilege of engaging with a diverse range of customers, all grappling with a common challenge-the management of their data. Whether a small business or a large enterprise, the issue of technical debt, a result of short-term thinking about data, is a consistent theme. Technical debt, in this context, refers to the cost that accumulates when short-term solutions are implemented to address immediate needs, leading to a complex, inefficient, and duplicate data infrastructure over time. This technical debt spawns from a patchwork of applying technologies one by one, reacting to a current need. A prime example is when companies opt for a do-it-yourself plan because they don't have to engage procurement or IT and currently have resources available. Aside from the expanding technical debt, this strategy ignores the ongoing service support issues that cost 10x what an off-the-shelf product when looking at the total cost of ownership.  I have observed extreme examples of this behavior at companies that have been around for many years. The decision to patch things and solve a short-term pain is very tempting. Leaders convince themselves they can do it cheaper and better because it is custom-built for them versus the pain of trying to convince stakeholders to procure a product. It's clear that addressing and reducing technical debt is not a simple task. It requires a structured methodology for identifying, justifying, and funding new projects. This funding is not just about acquiring technology; it's about generating the emotional momentum needed to overcome the inertia that has built up over many years in replacing outdated technology. [Read More](https://blog.viviota.com/reducing-technical-debt-and-increasing-the-value-of-data) 0 Comments [Click here to read/write comments](https://blog.viviota.com/reducing-technical-debt-and-increasing-the-value-of-data#comments-listing) Topics: [Sensor Data](https://blog.viviota.com/tag/sensor-data), [Sensor Data Management](https://blog.viviota.com/tag/sensor-data-management), [data cleansing](https://blog.viviota.com/tag/data-cleansing) ## [Accelerating Big Data Analysis with TTI’s Data Cleansing Strategy](https://blog.viviota.com/accelerating-big-data-analysis-with-ttis-data-cleansing-strategy) Posted by [Dr. Fanqi Meng](https://blog.viviota.com/author/dr-fanqi-meng) on Mar 1, 2023 5:11:23 PM - [Tweet](https://twitter.com/share) [![Brain Image](https://blog.viviota.com/hubfs/Brain%20Image.jpg)](https://blog.viviota.com/accelerating-big-data-analysis-with-ttis-data-cleansing-strategy) Traditionally, the data cleansing is defined as the process of detecting and correcting (or removing) corrupt or inaccurate [records](https://en.wikipedia.org/wiki/Storage_record) from a record set, [table](https://en.wikipedia.org/wiki/Table_(database)), or [database](https://en.wikipedia.org/wiki/Database) and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the [dirty](https://en.wikipedia.org/wiki/Dirty_data) or coarse data. [Read More](https://blog.viviota.com/accelerating-big-data-analysis-with-ttis-data-cleansing-strategy) 0 Comments [Click here to read/write comments](https://blog.viviota.com/accelerating-big-data-analysis-with-ttis-data-cleansing-strategy#comments-listing) Topics: [Sensor Data](https://blog.viviota.com/tag/sensor-data), [Sensor Data Management](https://blog.viviota.com/tag/sensor-data-management), [data cleansing](https://blog.viviota.com/tag/data-cleansing) ## [Ghostwalk Your Automotive Data - Making Sense of Sensor Data](https://blog.viviota.com/ghost-video) Posted by [Patricia Friar](https://blog.viviota.com/author/patricia-friar) on Sep 20, 2021 7:00:00 AM - [Tweet](https://twitter.com/share) [![Viviota Makes Sense of sensor data, watch Cole explain in this short video](https://blog.viviota.com/hubfs/Photo%20Sep%2009%2c%2010%2052%2028%20AM.png)](https://blog.viviota.com/ghost-video) [Read More](https://blog.viviota.com/ghost-video) 0 Comments [Click here to read/write comments](https://blog.viviota.com/ghost-video#comments-listing) Topics: [Engineering Data](https://blog.viviota.com/tag/engineering-data), [Analytics](https://blog.viviota.com/tag/analytics), [Autonomous Vehicles](https://blog.viviota.com/tag/autonomous-vehicles), [Sensor Data](https://blog.viviota.com/tag/sensor-data), [Analog Data](https://blog.viviota.com/tag/analog-data), [data cleansing](https://blog.viviota.com/tag/data-cleansing), [Edge Computing](https://blog.viviota.com/tag/edge-computing), [Intelligent Data handling](https://blog.viviota.com/tag/intelligent-data-handling) ## [Upfront Engineering Assessment Saves Time](https://blog.viviota.com/you-dont-know-what-you-dont-know) Posted by [Otmar Foehner](https://blog.viviota.com/author/otmar-foehner) on Sep 4, 2019 3:00:00 AM - [Tweet](https://twitter.com/share) [![](https://blog.viviota.com/hubfs/shutterstock_174303563.jpg)](https://blog.viviota.com/you-dont-know-what-you-dont-know) My day job for the past 30 years has been helping people with their sensor data. In my time off I tinker with and build PCs, try my hand at some home improvement projects and stay on top of new technology developments through the consumption of copious amounts of online tech news website articles and YouTube videos. What I have learned—and keep being reminded of time and time again—is that there are plenty of things that I don’t know. And, that sometimes I’m not even aware of things that I don’t know. Let me explain. [Read More](https://blog.viviota.com/you-dont-know-what-you-dont-know) 0 Comments [Click here to read/write comments](https://blog.viviota.com/you-dont-know-what-you-dont-know#comments-listing) Topics: [Engineering Data](https://blog.viviota.com/tag/engineering-data), [Sensor Data](https://blog.viviota.com/tag/sensor-data), [Sensor Data Management](https://blog.viviota.com/tag/sensor-data-management), [data cleansing](https://blog.viviota.com/tag/data-cleansing) [All posts](https://blog.viviota.com/all) ### Subscribe Here! ### Recent Posts ### Posts by Tag - [Sensor Data (17)](https://blog.viviota.com/tag/sensor-data) - [Analytics (15)](https://blog.viviota.com/tag/analytics) - [Intelligent Data handling (14)](https://blog.viviota.com/tag/intelligent-data-handling) - [Sensor Data Management (13)](https://blog.viviota.com/tag/sensor-data-management) - [Autonomous Vehicles (12)](https://blog.viviota.com/tag/autonomous-vehicles) - [Big Data (12)](https://blog.viviota.com/tag/big-data) - [Engineering Data (12)](https://blog.viviota.com/tag/engineering-data) - [Digital transformation (11)](https://blog.viviota.com/tag/digital-transformation) - [Edge Computing (11)](https://blog.viviota.com/tag/edge-computing) - [Analog Data (10)](https://blog.viviota.com/tag/analog-data) - [Machine Learning (9)](https://blog.viviota.com/tag/machine-learning) - [data cleansing (9)](https://blog.viviota.com/tag/data-cleansing) - [ADAS (8)](https://blog.viviota.com/tag/adas) - [Electric Cars (8)](https://blog.viviota.com/tag/electric-cars) - [Manufacturing (8)](https://blog.viviota.com/tag/manufacturing) - [automotive industry (7)](https://blog.viviota.com/tag/automotive-industry) - [simulation (7)](https://blog.viviota.com/tag/simulation) - [webinar (7)](https://blog.viviota.com/tag/webinar) - [ANC (6)](https://blog.viviota.com/tag/anc) - [Hybrid Cars (6)](https://blog.viviota.com/tag/hybrid-cars) - [IIoT (6)](https://blog.viviota.com/tag/iiot) - [aerospace (6)](https://blog.viviota.com/tag/aerospace) - [Factory 4.0 (5)](https://blog.viviota.com/tag/factory-4-0) - [Smart Factories (5)](https://blog.viviota.com/tag/smart-factories) - [Build Back Better Act (4)](https://blog.viviota.com/tag/build-back-better-act) - [EV (4)](https://blog.viviota.com/tag/ev) - [Electric Grid (4)](https://blog.viviota.com/tag/electric-grid) - [LabVIEW (4)](https://blog.viviota.com/tag/labview) - [NIWeek (4)](https://blog.viviota.com/tag/niweek) - [Real-time computing (4)](https://blog.viviota.com/tag/real-time-computing) - [Software (4)](https://blog.viviota.com/tag/software) - [Viviota (4)](https://blog.viviota.com/tag/viviota) - [ESS (3)](https://blog.viviota.com/tag/ess) - [Sensors (3)](https://blog.viviota.com/tag/sensors) - [COTA (2)](https://blog.viviota.com/tag/cota) - [IoT (2)](https://blog.viviota.com/tag/iot) - [SAP (2)](https://blog.viviota.com/tag/sap) - [Test (2)](https://blog.viviota.com/tag/test) - [U.S. Grand Prix (2)](https://blog.viviota.com/tag/u-s-grand-prix) - [F1 (1)](https://blog.viviota.com/tag/f1) See all - [Home](https://viviota.com/) - [Products](https://viviota.com/products/) - [Solutions](https://viviota.com/solutions/) - [News & Events](https://viviota.com/news-events/) - [Partners](https://viviota.com/partners/) - [About](https://viviota.com/about/) - [Blog](https://blog.viviota.com/) - [Contact](https://viviota.com/contact/) - [Privacy Policy](https://viviota.com/privacy-policy/) - [Terms of Use](https://viviota.com/terms-of-use/) Copyright © 2023 Viviota