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@kairostechnologies
Unlock the Future of #MobileAppTesting with Kairos Technologies! 📱
Are you tired of the high #costs and maintenance of device #testing? Want to harness the power of AI and ML to optimize your #TestCycles and deliver superior apps faster? Say hello to a new era of mobile app testing with Kairos Technologies!
Read here: https://kairostech.com/mobile-app-testing/
Why No-Code Data Quality Management is the Future of Business Analytics
Data Quality Management (DQM) is indispensable in today’s data-centric business landscape, ensuring the data utilized for business analytics is accurate, complete, consistent, and reliable. A recent Gartner report states that 84% of customer service and service support leaders deemed customer data and analytics “very or extremely important” for achieving their organizational goals in 2023. Such reliance on data underlines the importance of effective DQM in making informed decisions, improving customer satisfaction, enhancing operational efficiency, and fulfilling regulatory requirements.
Yet, traditional DQM methods, often complex and time-consuming, pose significant challenges. They require specialized skills and tools, including code writing, rule creation, and manual checks, making these tasks prone to errors, inconsistencies, and delays.
Enter No-Code DQM, a game-changer in the business analytics arena. Powered by AI and automation, no- code DQM simplifies and streamlines DQM, enabling users to define, monitor, and enhance data quality sans coding or IT dependence. Global organizations have already begun to reap the benefits of these platforms, with nearly 60% indicating that using no-code increases revenue and help replace legacy systems, according to a Statista report.
Furthermore, the popularity and adoption of no-code and low-code development technologies are rising significantly. The global low-code platform market is projected to reach approximately 65 billion U.S. dollars by 2027, as highlighted by another Statista study.
This blog post will delve into the benefits of no-code DQM and its transformative potential for your business analytics, equipping you to navigate the evolving data-driven business landscape effectively.
What is no-code DQM, and how does it work?
No-code DQM is a way of managing data quality without writing any code or using complex tools. It uses AI and automation to perform various tasks, such as
1. Data profiling
Analyzing the structure, content, and quality of data sources
2. Data cleansing
Identifying and correcting errors, duplicates, outliers, and missing values in data
3. Data enrichment
Adding or enhancing data attributes with external sources or business rules
4. Data validation
Verifying that data meet predefined quality standards and expectations.
5. Data monitoring
Tracking and reporting on data quality metrics and issues over time
No-code DQM allows users to perform these tasks through intuitive graphical interfaces that hide the underlying complexity. Users can simply drag and drop data sources, select quality criteria, apply rules, and view results in real-time.
What are some examples of no-code DQM solutions in the market?
Several no-code DQM solutions available in the market today cater to different needs and preferences. Some examples are:
DQGateway
DQGateway, a versatile solution available both on-cloud and on-premises, offers an intuitive interface for overseeing data quality across diverse sources and formats. This pioneering tool uses Fuzzy logic-based data cleansing to facilitate data analysts in swiftly implementing no-code quality checks and assessments. By employing DQGateway, data teams can guarantee their data’s accuracy, consistency, and completeness with unprecedented efficiency and speed.
Talend Data Quality
A cloud-based solution that provides a comprehensive set of data profiling, cleansing, enrichment, validation, and monitoring features. It also integrates with other Talend products for data integration, preparation, and governance.
Trifacta Data Quality
A cloud-based solution that combines data wrangling, quality, and governance capabilities in a single platform. It allows users to explore, transform, and enrich their data using a visual interface that leverages AI and machine learning.
Atacc ONE Data Quality Management
A cloud-based solution offering a modular data quality management approach. It enables users to define, measure, and improve their data quality using various components such as Data Profiler, Data Quality Analyzer, Data Quality Issue Tracker, and
Informatica Cloud Data Quality
A cloud-based solution that delivers enterprise-grade data quality management capabilities for cloud and hybrid environments. It helps users to discover, assess, improve, and monitor their data quality across various sources and applications.
What are the advantages of no-code DQM over traditional DQM methods?
No-code DQM offers several benefits over traditional DQM methods. For example, it is:
No-code DQM reduces the time and effort required to manage data quality by automating tedious and repetitive tasks. Users can achieve better results in minutes instead of hours or days.
No-code DQM democratizes data quality management by enabling users of any skill level or background to derive value from it. No-code DQM also supports various types of data sources and formats for Supported data sources include on-premises and cloud databases, files, and APIs.
No-code DQM improves the accuracy and reliability of data quality by using AI and automation to detect and correct errors, inconsistencies, and anomalies. Users can also customize and fine-tune the quality criteria and rules according to their specific needs and preferences.
No-code DQM provides users with actionable insights into their data quality by generating comprehensive reports and dashboards that show key metrics and issues.
What are some best practices for implementing no-code DQM in your organization?
To successfully implement no-code DQM in your organization, you should follow some best practices such as:
Before you start using no-code DQM, you should clearly know what you want to achieve with your data quality management. You should identify your key data sources, stakeholders, use cases, requirements, expectations, and challenges.
Not all no-code DQM solutions are created equal. You should evaluate different options based on factors such as features, functionality, usability, performance, security, support, pricing, etc. You should also look for other user’s or experts’ reviews, testimonials, case studies, demos, etc.
You do not need to simultaneously implement no-code DQM for all your data sources. You can start with a small subset of data sources that are critical or problematic for your business analytics. You can then gradually expand your scope as you gain more confidence and experience with no-code DQM. Monitor and improve your data quality continuously:
You should also periodically review and update your quality criteria and rules as needed.
DQGateway: A No-Code DQM Solution for Data-Driven Decision-Making
No-code DQM simplifies and streamlines the process of ensuring that the data used for decision-making is accurate, complete, consistent, and reliable. No-code DQM leverages AI and automation to enable users to define, monitor, and improve their data quality without writing any code or relying on IT.
If you are looking for a no-code DQM solution to help you transform your business analytics, you should check out DQGateway by K-Labs, the R&D unit of Kairos Technologies. DQGateway is a cloud-based solution providing an easy-to-use interface for managing data quality across multiple sources and formats. DQGateway allows you to:
Connect to any type of data source and format with just a few clicks.
2. Profile your data sets and understand their structure, content, and quality.
3. Cleanse your data by fixing errors, eliminating duplicates, identifying and managing outliers, and filling in missing values, all through the nuanced approach of fuzzy logic-based data cleansing.
4. Validate your data and verify that they meet predefined quality standards and expectations.
5. Monitor your data sources and track and report on key metrics and issues over time.
In this age of data-centric strategizing, safeguarding the fidelity of your data is not just essential, it’s critical. Harness the power of no-code DQM and tools like DQGateway to elevate your business analytics. Empower your decision-making process with accurate, pristine, and dependable data. Make the move today – with DQGateway, ensuring your data’s integrity isn’t just a future-proof strategy for business analytics; it’s a mandate. After all, in the realm of data, quality isn’t a luxury—it’s an absolute prerequisite.
To learn more about DQGateway or request a free trial, visit https://www.kairostech.com/dqgateway/ today!
About Kairos:
Kairos technologies develop tools that simplify complex processes and create value in any industry. We build software to help engineers to develop products faster and better while reducing their risk of failure. You can make anything and build better. We aim to solve problems before they make it into your production environment. Kairos provides quality engineers with a platform to share knowledge, collaborate on projects, and track their work in real time. We deliver simplified quality engineering services, helping our customers improve their products through better code coverage, faster development cycles, and higher performance. Our technology automates repetitive manual tasks, enhances efficiency and productivity, and prevents errors from being introduced into your live production environment. Learn more at www.kairostech.com
Recent insights reveal that while many in the software industry understand the importance of Quality Assurance (QA), there's a growing emphasis on Quality Engineering (QE). Unlike QA, which focuses on defect detection, QE is about building quality into the entire software development lifecycle. This proactive approach prioritizes defect prevention, leading to faster software delivery, reduced costs, and enhanced User Experiences. Dive into our latest post to understand the strategies for transitioning from DQA to DQE and how it enhances your software development process. Let's explore the future of software quality together.
We are delighted to share with you our new social posts on how Kairos is rocking the App modernization game and what makes Kairos stand out from others. Please check our latest post and don’t forget to like, comment, repost, or share for better exposure. LinkedIn: https://www.linkedin.com/feed/update/urn:li:activity:7090156343692587008 Visit our website https://lnkd.in/g7vBsAJT to learn more.
RPA is exponentially growing across all industries and is widely adopted by finance, operations, and technology groups. According to LinkedIn, 72% of all businesses will use RPA at some point by 2024. Do you want to know why does RPA matter to your organization? According to a study by Neebal, can help businesses save up to 90% of their workforce’s time by increasing operational efficiency. While a study by Kofax2 says, RPA can reduce operational costs by up to 80%, while increasing compliance by up to 92%. This can lead to increased revenue and CustomerLoyalty. So, are you ready to catapult your business into the future? Introducing the Kairos Intelligent Robotic Automation Framework (KiRAF) – the ultimate solution for your business transformation💡 With KiRAF, you can reduce the time and cost of RPA development by up to 70%, while ensuring quality, security, and compliance. Visit our website to learn more about KiRAF https://kairostech.com/robotic-process-automation/
AI Everywhere- Are You Ready For The Change?
(via https://imgur.com/a/n8aE4Qt)
API testing is crucial to software development, ensuring that the applications can communicate and exchange data correctly. However, API tes
Hey there, tech enthusiasts! Curious about how ai can revolutionize your testing efforts? Well, look no further because we've got you covered!
In our latest article, we take you on an exciting journey through the benefits of incorporating AI into the realm of softwaretesting. From streamlining testing processes to enhancing overall software quality, AI has become an indispensable tool for today's developers and testers.
Find the article below and embark on an eye-opening exploration of the fascinating world of AI in software testing.
Gone are the days when interacting with a machine was one-sided. With advancements in AI like ChatGPT, we're now experiencing a paradigm shift where machines can engage in meaningful conversations. It's akin to having a friend who's always there to chat, learn, and evolve with you. Recently, OpenAI, the creator of ChatGPT, has taken a significant step forward by partnering with The Associated Press to license their news story archive. This collaboration aims to further enhance the capabilities of AI systems, making our interactions with them even more enriching. As we navigate this exciting era of AI evolution, let's take a moment to appreciate the strides we've made and look forward to the future of AI conversations!
BreakingNews in the Tech World!
Meta's new social media platform, Threads, is reshaping the digital landscape. In less than 48 hours, it has garnered a whopping 70 million sign-ups, making it one of the fastest-growing apps ever! Developed by the Instagram team, Threads offers a fresh way to share text updates and engage in public conversations. It's no wonder that within the first 18 hours of its launch, it attracted 30 million users.
As we at KairosTechnologies continue to monitor the latesttrends in the tech world, we can't help but be excited by the potential of Threads. It's not just us - advertisers are also eyeing Threads as a promising new channel to connect with consumers.
The rise of Threads is a testament to the dynamic and ever-evolving nature of the socialmedia landscape. It's a reminder that innovation can disrupt the status quo and open up new opportunities. Staytuned for more updates as we continue to explore and navigate this exciting digitalfrontier!
The internet has evolved significantly since its early days. We've moved from the static pages of Web1 to the interactive platforms of Web2, and now we're entering the era of Web3 - a decentralized network that empowers users to not just consume but create and own content. As we embrace this new phase, it's important to navigate the challenges that come with it, from crypto scams to the fears associated with new technology. As we stand on the brink of this Web3 revolution, let's explore the lessons we can learn from past projects and the potential impact of new ventures like Web3-based drug discovery platforms. As we navigate this transition, it's worth pondering: How will Web3 reshape our digital experiences?
6d • Edited •
Generative AI has traversed a remarkable journey since its genesis. With the emergence of models like GANs, VAEs, and autoregressive models, it has been employed across a spectrum of fields, including image creation, natural language processing, and healthcare. But what are the key milestones and developments in this field over the past 20 years? In this video, we have provided a concise overview of the evolution of generative AI in the past 20 years. Stay tuned - https://kairostech.com/
Are you on a quest to revolutionize your customer experience across all platforms? Discover Kairos, where innovation meets customer-centricity!
Embark on a transformative journey with Kairos and redefine what’s possible in customer experience. Visit https://lnkd.in/g-K_JFj3 to explore the endless possibilities.
Industry's First AI-Powered Test Automation Tool with Source Code for Deployment on Your Premises.
First AI-Powered Test Automation Tool with Source Code for Deployment on Your Premises.