Quality control and
testing have proved themselves to be really important in product development
and manufacturing. Without those aspects, faulty products could hit the
marketplace, thus the consequences could be really serious, such as reputational
damage, excessive costs and even life endangering.
However, big data is
gaining popularity as an essential technology in creating quality control and
testing more efficient and effective.
Reducing the amount of time to market
Companies can be able to
significantly reduce the amount of time needed to handle validation testing
before placing a product on the market by examining the findings of big data
interfaces. One instance involved a company combining big data with artificial intelligence (AI) to capture tremendous amounts of data and process it more
quickly than humans.
Moreover, AI make it easy
for Intel to locate bugs while eliminating tests that are not relevant. According
to the mentioned company, this solution reduces the number of tests performed
by 70%, helping products reach the market faster without sacrificing quality.
Providing compiled insights that inform improved product
design and testing
Some companies may have
product tests being carried out all over the world and plan to use the results
from those experiments to inform new, enhanced designs. Before big data became
popular, collecting the information from those tests required a considerable
amount of time, and locating users have to gather feedback about the product.
However, today's big data
platforms can quickly look at opinions broadcasted on social media or, in the
case of an internet-connected device, keep tabs on how people use products in
development without explicitly reaching out to them to get their feedback.
For example, big data
could find out which features within fitness trackers that a tester uses more
frequent and the steps they go through to do so.
Collecting data
throughout a period of time and extracting the meaningful sentiments from it
could also increase the likelihood of a new product's later success. Predictive
analytics can examine various aspects of the product development process and
find the factors within it that highlight the things people like the most, as
well as the things that frustrate them. Big data is also capable of predictive
models, allowing brands to create thousands of versions of a product in
seconds.
Improving testing relevance
By obtaining the
information from big data platforms is useful in helping companies to choose between
highly accelerated life testing (HALT) and accelerated life testing (ALT)
procedures. Company’s money can be saved and more customer satisfaction can be
ensured by using HALT, since it is able to find failures in products early in
the development process. Calculating how long a product could perform before
components start to break down by speeding up its aging process is what ALT can
do.
Big data might show a
potential unexpected weakness in a product, thereby spurring the manufacturer
to see if a HALT could give more details about the causes for the failure.
Then, the people overseeing quality control could target those problems before
proceeding further with the development process.
Bringing analytics into existing equipment
Some companies offer bigdata analytics platforms with plug-and-play functionality enabling
manufacturers to swiftly incorporate analytics tools into factory equipment.
Then, those entities can potentially spend less money than they otherwise might
to start being more reliant on analytics for quality testing.
Finding enhanced results by searching through data
Big data is already well
established for quality control and testing purposes, but it's likely the
technology and the respective tools to harness big data will become
increasingly prominent as innovations progress and businesses explore ways to
deliver high-quality, well-tested products to customers within reasonable time
frames. With big data, consumers can benefit from enhanced products, and companies
spend less time and money on irrelevant testing.
With 21 years in providing R&D services for leading companies worldwide, TMA Solutions has intensive experience and capabilities to bring your products and solutions to a new level by embracing new technologies (big data & analytics, AI, IoT, mobile, cloud, etc.). TMA Solutions's BI, big data and analytics team has supported many customers in building BI and analytics solutions to process large amounts of business data and provide real-time reports for business decisions. You can visit our website here to find out more information or email us now.
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