Decoding TDM approach for Digital Assurance
Recent studies and trends indicates “Digital Assurance” will top software testing trends in coming years. As per latest reports, 30 - 35% of the QA and Testing Budget for new development is spent on customer channel solutions. Digital transformation will continue to drive IT strategy which has direct impacts on QA and testing functions. This provides great opportunity for digital testing to move from ‘Quality Assurance’ to ‘Digital Assurance’ that will measure, quantify and better understand the user experience by executing end to end comprehensive testing across the digital value chain (digital marketing, asset management, online analytics) and digital eco systems (Social, Mobility, Analytics & Big data, Cloud).
With the emerging technologies and customer facing applications getting complex, it is indeed imperative to assure the business across multiple digital platforms, devices and services. As digital assurance involves testing across digital eco system and digital value chain, we need to have a holistic and hybrid approach to manage provisioning of data to different needs like functional, performance, automation, security areas.
Testing apps properly means testing against real data, which means a copy of the production database has to be masked and set up on IT systems the test teams can use. Provisioning the hardware and software for a testing team can take weeks; then resetting each test can take hours, which means there's a limited amount of time to get the bugs out.
This story is from the {{IssueName}} edition of {{MagazineName}}.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
Already a subscriber ? Sign In
This story is from the {{IssueName}} edition of {{MagazineName}}.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
Already a subscriber? Sign In
Cognitive Fashion Design Using AI And Automation
Fashion Industry is one of the top contributors to Global GDP and amongst the highest employment generator.
Blockchain-Based Cybersecurity For IoT
Arumani Subramanian completed AI/ML Information Technology from IIIT Hyderabad and Bachelor of Technology in Computer Science from Pondicherry Engineering College. His keen interest circles around making business profitable by digital innovations, and mapping digital pathway. He is an expert of Blockchain, RPA with right use cases and leads a team of architects and solutions team.
Artificial Intelligence & The Disruptive Chatbot
Chatbot Technology has always been a game changer whether it’s content, data or e-commerce - businesses underwent change to survive due to the changing consumer perception, business value and convenience.
How Financial Services Companies Are Striving Through The Data Age
With experience in account management, corporate account management, and regional sales direct, he is leading the firm.
RPA IN ACTION IN THE FINANCIAL SECTOR
A renowned professional in artificial intelligence, investment banking, managing consulting and profitability delivery, in the industry for 20+ years and consultations for 10+ Fortune 500 organizations.
PayNearby
DETERMINED TO CREATE A DIGITALLY FORWARD AND FINANCIALLY INCLUSIVE NATION
A SNEAK PEAK ON – BLOCKCHAIN TECHNOLOGY
Let’s begin this conversation by focusing on the fundamental aspect, i.e. by ‘Defining Blockchain.’
Impact Of Algorithms On Society
A common dystopian science fiction future is where the robots take over the world.
MULTIPLYING OPPORTUNITIES IN BIG DATA ANALYTICS
The advent of modern computer networks and the democratization of information has exponentially multiplied the amount of digital data being generated.
OMDENA
INTRODUCING NEW FRONTIERS OF PROBLEM SOLVING WITH AI