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Data Analytics

KNS Global Outsourcing Ltd. > Data Analytics

Data analysts at KNS analyze huge amounts of raw data to help individuals or organizations make decisions and succeed. Many people believe that data-driven research is only conducted in the sciences. It’s commonly considered to entail a spreadsheet full of numbers. Both of these assumptions are false. Research data is collected and used in scholarly work across many academic disciplines, and while it can be as simple as figures on a spreadsheet, it can also be more complex.

 

It also accepts a variety of file types, such as films, photos, artifacts, and journals. Whether a psychologist is gathering survey data to better understand human behavior, an artist is using data to create images and sounds, or an anthropologist is using audio files to chronicle observations about other cultures, data may be used in a variety of ways.

 

Product Development:

By applying data analytics, you can help create the best possible product. Product development is an iterative process based on product needs in the user’s life. Data analysis at the business-to-consumer (B2C) level is essential. Various companies collect data from customers, enterprises, economy and practical experience to process and develop products according to consumer needs. KNS takes the following steps by applying data analytics to improve the product quality of various organizations:

Product Performance: KNS experts use various analytics tools to test and retest the product concept, design and launch process.

Product Selection: KNS helps in selecting reliable and timely products through a well-informed decision making process at the right time.

Product Development Tracking: KNS uses data analytics to create an accurate product roadmap that tells you where your product is now, where you want to take it, and how to get there.

Product development motivation: KNS allows the product management team to make targeted enhancements and tweaks that help continuously increase product life while maintaining product quality.

Machine Learning

At the heart of most successful businesses today is machine learning, which determines the crucial competitive differentiator for many businesses. Machine learning (ML) is the development and implementation of algorithms that enable computers to learn from data and make decisions or predictions without explicit programming. It is a subset of artificial intelligence (AI). KNS improves the performance of ML algorithms over time by gleaning insightful information from massive amounts of data to deliver accurate predictions, cost reductions and improved efficiency on-going decisions. Which will help any individual or business to perform personalized sales and marketing, price optimization, fraud detection, customer churn forecasting, inventory management, predictive maintenance, supply chain optimization, customer service automation, product recommendation, sales forecasting etc. with full efficiency and effectiveness. Machine learning is significant because it allows businesses to see trends in customer behavior and business operating patterns while also assisting in the development of new goods.

Product Development

The product development process includes all processes involved in bringing a product from concept to market. Identifying a market need, investigating the competitive landscape, envisioning a solution, designing a product roadmap, and developing a minimal viable product are all part of this process.

Idea generation, idea screening, concept development and testing, establishing a market strategy, product development, market testing, and market commercialization are the seven steps of the New Product Development process. Following these steps KNS helps product managers better understand their existing products and know exactly what to focus on when developing next-generation products.