Where are you in your Big Data/Machine Learning journey?

Big Data and Machine Learning are now gaining mainstream adoption, but enterprises are still struggling to make the most of these technologies. At Niyuj, we help clients identify the best algorithms, trends, and tools that can drive more value from data acquisition and help business leaders make better decisions. We excel in mining data to leverage insights and customer segmentation, which enables us to drive more precision in solutions. We go the extra mile to understand the nuances between user and buyer and suggest features and modules accordingly.

Our clients come to us with different challenges, and at different stages of technology maturity – in the case of some, Big Data Analytics/Machine Learning forms the core of their product, and they have a clear idea of what they want; for others, these technologies are not an integral part of their business, but they’re keen to evaluate their organization in the context of Big Data Analytics (BDA) and take advantage of new trends. In both these cases, we provide the right team and expertise to deliver on the client’s vision and achieve crucial business objectives.

The Niyuj Leverage

Get answers from Big Data

Big data is now driving the world, but the proliferation in technology and IoT use cases has created another big problem – information overload. Enterprises are struggling to manage and make sense of the constant massive streams of data, in order to derive tactical insights that can drive better decisions.

From data storage to data value governance – we take care of it all

The challenges with data can be broken down into 3 primary aspects – Speed, Storage and Action. Today, we have large volumes of data coming in at high velocities, which need to be accepted and sorted. Next, this data has to be methodically stored in a usable form, from where it can be retrieved easily when needed. Data storage also needs to strictly toe the security line, and follow the latest guidelines and regulations.

Managing this data and extracting actionable insights that facilitate better decision making, is the most crucial step, and is at the core of analytics. Enterprises often get stuck while trying to answer the question of “How do we quantify business value from data governance, especially intangible values like better decision making?” This calls for a clear and efficient data value governance program that can outline clear KPIs.

At Niyuj, we excel in overcoming the 3 barriers of Speed, Storage and Action, with intelligent, value-focused analytics solutions that have ML, AI, and Deep Learning baked into them.

Uncover remarkable insights and accelerate ROI from data

Our innovative approach to data analytics – born from our deep expertise in this technology, our experience across industry domains, and our vertical knowledge in each industry – enables us to drive maximum ROI from your data and infrastructure, while keeping Total Cost of Ownership low.
Niyuj helps business leaders define data governance business value frameworks and implement solutions that deliver on pre-defined KPIs. We leverage data governance to the fore, and help you manage data as an enterprise asset throughout its lifecycle Through it all, we ensure that our solutions, approach, and processes, are aligned to your business goals and values.

Making a difference in every domain

One of our key strengths? We specialize in working with enterprises whose core product is not based on ML/AI/BDA, as well as organizations that deal primarily with these technologies. Our teams offer the perfect mix of hard-core, passionate developers, brilliant strategists, and business-focused leaders, helping us identify and understand your specific business objective, design a solution, and then implement it successfully.

Why Niyuj

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Combined decades of experience
in big data analytics

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Successfully deployed and managed analytics solutions for clients

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Collaborations with reputed
service providers

Industry-specific capabilities

Niyuj has implemented advanced analytics solutions for various e-commerce customers that successfully boost customer footfalls, stickiness, and drive conversions – the biggest problems that e-commerce vendors wrestle with.

Our Machine Learning-based solutions specialize in capturing and storing customer behaviour even in extremely dense traffic conditions. Using predictive analytics, the data collected is then intelligently repurposed to deliver delightful user experiences. For example, using our analytics solution, an e-commerce site can recommend relevant products to users, or tailor their shopping experience according to their specific tastes.

We’re also skilled in visualizing and presenting large swathes of data engagingly, highlighting trends and patterns that assist customers in decision making. Further, we can predict when users are going to buy, thus helping clients streamline their marketing and sales strategies.

In the healthcare domain, compliance regulations mandate the collection of large amounts of data. Apart from this, healthcare itself is data-heavy, with large volumes of data existing in the form of patient records, which include details on hospital visits, doctor visits, prescriptions, health stats, etc. This data can prove extremely crucial in making strategic business decisions – for example, looking at a patient’s past healthcare history and health parameters, we can help insurance companies understand exactly what kind of premiums they should offer. Alternatively, based on healthcare and lifestyle patterns, we can predict if and when a person may suffer a heart attack.

However, these data points require careful handling according to their nature and characteristics – for example, some of this data is captured periodically, such as time series data, while some of it is qualitative data, which is collected when a patient visits the hospital. At Niyuj, we specialize in managing and mining disparate healthcare data in order to deliver actionable insights that can enable our clients to deliver a better healthcare experience.

The Networking industry inherently involves massive data flows and serves as the perfect customer for big data analytics. Niyuj helps clients process, identify and analyse large amounts of raw data by applying Machine Learning techniques to it. The end result? Meaningful insights that can be actioned to solve problems and create new business opportunities. These actions could mean different outcomes for different clients – for one of our customers, it was about driving more efficiency into their billing process, while for another, the end goal was to intelligently channel their data flow, substantiated by a skilful visualization of their traffic flow.

Our solutions in the networking space also help detect anomalies, prevent problems and predict device failures before they happen (like network crashes that paralyze the entire organization) – so that clients can take remedial measures and save on time, resources and unnecessary stress.

One of the biggest challenges for organizations is identifying new markets for their products, or creating new markets with new launches. Market research firms assist clients in this area by helping them make the right decisions – their analysts study various data points in order to identify potential markets and consumer needs. At Niyuj, we specialize in building products and tools that help process this data and uncover hidden insights, enabling analysts to point clients in the right direction.

E-commerce

Niyuj has implemented advanced analytics solutions for various e-commerce customers that successfully boost customer footfalls, stickiness, and drive conversions – the biggest problems that e-commerce vendors wrestle with.

Our Machine Learning-based solutions specialize in capturing and storing customer behaviour even in extremely dense traffic conditions. Using predictive analytics, the data collected is then intelligently repurposed to deliver delightful user experiences. For example, using our analytics solution, an e-commerce site can recommend relevant products to users, or tailor their shopping experience according to their specific tastes.

We’re also skilled in visualizing and presenting large swathes of data engagingly, highlighting trends and patterns that assist customers in decision making. Further, we can predict when users are going to buy, thus helping clients streamline their marketing and sales strategies.

Healthcare

In the healthcare domain, compliance regulations mandate the collection of large amounts of data. Apart from this, healthcare itself is data-heavy, with large volumes of data existing in the form of patient records, which include details on hospital visits, doctor visits, prescriptions, health stats, etc. This data can prove extremely crucial in making strategic business decisions – for example, looking at a patient’s past healthcare history and health parameters, we can help insurance companies understand exactly what kind of premiums they should offer. Alternatively, based on healthcare and lifestyle patterns, we can predict if and when a person may suffer a heart attack.

However, these data points require careful handling according to their nature and characteristics – for example, some of this data is captured periodically, such as time series data, while some of it is qualitative data, which is collected when a patient visits the hospital. At Niyuj, we specialize in managing and mining disparate healthcare data in order to deliver actionable insights that can enable our clients to deliver a better healthcare experience.

Networking

The Networking industry inherently involves massive data flows and serves as the perfect customer for big data analytics. Niyuj helps clients process, identify and analyse large amounts of raw data by applying Machine Learning techniques to it. The end result? Meaningful insights that can be actioned to solve problems and create new business opportunities. These actions could mean different outcomes for different clients – for one of our customers, it was about driving more efficiency into their billing process, while for another, the end goal was to intelligently channel their data flow, substantiated by a skilful visualization of their traffic flow.

Our solutions in the networking space also help detect anomalies, prevent problems and predict device failures before they happen (like network crashes that paralyze the entire organization) – so that clients can take remedial measures and save on time, resources and unnecessary stress.

Market Research

One of the biggest challenges for organizations is identifying new markets for their products, or creating new markets with new launches. Market research firms assist clients in this area by helping them make the right decisions – their analysts study various data points in order to identify potential markets and consumer needs. At Niyuj, we specialize in building products and tools that help process this data and uncover hidden insights, enabling analysts to point clients in the right direction.

Patents

Powered by Passion

Our passion and commitment to deliver simple, yet meaningful solutions, lead us to push the envelope and win patents on our innovations.

In Big Data Analytics, we hold a joint patent with some of our customers. Our patented solution consists of an Edge Networking Router Device and System, which is an AI-based model crafted to execute on a thin client (a router device). This system identifies software applications on the network (Facebook, Google, Amazon, Skype etc.), and then supports SDWAN functionality, enabling enterprises to take appropriate actions like customized bandwidth provisioning for specific applications.

How we work

Experience success, in 5 steps. We align our processes
to ensure the best outcomes for you.

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New @ Niyuj

EVENTS

23 March 2019

Pooja Joshi from Niyuj as a panel speaker at Women in Data ScienceThe Global Women in Data Science (WiDS) Conference aims to inspire and educate data scientists worldwide, regardless of gender, and support women in the field.

Code & Beyond

10 May 2019

Cookies, Sessions and Local storage (PHP developer community)

A Comparison Of Machine Learning Algorithms For E-Commerce – 1