Data analytics consulting services are needed to guide and support companies on the way to improving their business outcomes by leveraging the potential of consolidated, trustworthy data. With experience in business intelligence, data science, big data, and advanced visualization, ScienceSoft helps organizations adopt informed decision-making, optimize costs and processes, improve customer experience, and more.
You can count on Jainya Tele Enterprises to do a good job with data analytics. We're proud of the things we've helped our clients do like
Jainya Never Stops Growing Professionally to Serve You Even Better
- I have worked in data science and statistics for 10 years.
- I've been a consultant and worked in business data for 10 years.
- 10 years of experience as a big data consultant and implementer.
- A group of highly skilled consultants, solution architects, data engineers, and project managers who have worked in tough, fast-paced settings before.
- With an in-house project management office (PMO) and well-established project management practices, you can easily handle big, distributed projects and make sure they succeed, even if time and money are tight.
We are trusted by global market leaders
What makes Jainya Tele Enterprises different
We achieve project success regardless of the circumstances.
Jainya Tele Enterprises does not pass off simple administration for project management, which regrettably is common on the market. We use actual project management to help our clients to reach project success regardless of their situation.
Our solutions for data analytics are useful in many areas
Healthcare
Healthcare organizations
- PGHD analytics and alerts based on conditions.
- Patient segmentation.
- Health outcomes analysis and forecasting.
- Operational and financial analytics.
- AI-powered help with diagnosis and treatment.
Contract research organizations
- Looking at trials of the same kind and comparing trial places.
- Picking patients based on the needed factors.
- Monitoring the success of the trial (e.g., enrolment rates, patient progress, and adverse events).
- Analysis of trial data (e.g., ADME simulations and comparing results between groups).
- Adverse events alerting.
- After-sale monitoring and RWE analytics.
- A look into lab operations and optimizing product management.
- Predicting and managing supplies.
- Using predictive analytics for enrolments, study outcomes, resource needs, and optimal resource utilization.
Medical labs
- Keep an eye on practical lab KPIs like turnaround time, cost per test, and number of tests that aren't needed.
- Thoughts on how to improve store management.
- Estimating inventory needs and demand.
- Predictive upkeep on equipment.
- Checking for quality.
- Interpretation of test data by computers.
- For clinical study and R&D labs, CROs can use research analytics.
Banking, Financial Services and Insurance
Investment
- Help with making investments.
- Performance information for the portfolio.
- Find out about possible risks to credit, liquidity, and the market.
- Asset purchases, sales, reinvestments, and other actions can be tracked in real time.
- AI-powered discovery of investment fraud.
- Continuously checking for compliance.
More industries
Manufacturing
- Analytics and optimisation for production quality.
- OEE analytics with tips into how to improve things.
- Monitoring of tools in real time.
- Predictive upkeep on equipment.
- Analysis of costs.
- Information about what customers want.
- Optimisation of SCM.
Retail and ecommerce
- Behaviour analytics for customer segmentation in both real and online stores.
- Multi-echelon inventory optimisation and forecasting of product demand.
- Dynamic optimisation of prices.
- Analytics for marketing and retail.
- Real-time suggestions for online shoppers based on AI.
Transportation and logistics
- Ideas on how to plan and improve operational ability.
- Predictive repair for vehicles.
- AI-powered changes to the environment for safe cargo delivery based on IoT tracking.
- Automated route optimisation in real time.
Real estate
- Comparing and dividing properties based on a number of different factors.
- Location-based data, including visualisation on maps.
- Matching customers with properties.
- Tips on how to handle leases and occupy properties.
- Predictive intelligence for taking care of property.
- Analyses of the success and risks of real estate portfolios.
- Information about how well agents are doing.
- Watching over the construction management.
Telecommunications
- Continuous analysis of network speed with alerts and suggestions for improvement in real time.
- Estimates of the network's power.
- Full customer data that help you keep customers by preventing them from leaving, personalising your offers, and preventing them from leaving.
Energy & utilities
- Monitoring the creation, transmission, and sharing of resources.
- Predictive upkeep of assets.
- Predicting the desire for resources.
- Figure out how much energy Distributed Energy Resources (DERs) will provide.
- Analytics for sustainability.
- Thoughts on how to improve cash management.
- Stats for Demand Side Management (DSM) treatments.
Professional services
- An analysis of how customers feel based on data from many places of contact.
- Customer-specific suggestions on service personalisation.
- Analytics for operations and finances.
- Estimate of resources needed and suggestions for staffing levels.
Media & entertainment
- Audience classification based on multiple factors.
- Analytics for audience interests and behaviour.
- Real-time suggestions for material based on the viewer.
- Information about how well content is doing.
- Predictions of content desire and popularity.
- Analytics for marketing.
Travel and hospitality
- Operational intelligence that predicts demand and makes suggestions for how to improve processes.
- Analysis of what customers want and what they say across all of their interactions.
- Personalised suggestions for customers in real time, such as on places to visit and events to attend.
- Dynamic price optimisation for a business.
- Analytics for employee success and service quality.
Education
- Analysing how well students are doing and sending out alerts when interventions might be needed.
- AI-powered learning suggestions tailored to each student.
- Looking at what kids and parents have said and what they want.
- Analyses of teachers' success.
- Money-saving tips.
- Predictions of enrolment and funding needs.
Agriculture
- Always keeping an eye on the health of animals, plants, and the soil, and sending out alerts when trends that aren't wanted are found.
- Smart optimisation suggestions and information on how to best use resources.
- Analytics that can predict the weather, food yield, market demand, and other things.
Public services
- Analysis of citizen comments.
- Analytics for traffic control.
- Help with figuring out what social services people need.
- Help with planning how to spend the cash.
- Predictive law enforcement.
- Planning for emergencies and "what-if" scenarios.
Information technology
- Always keeping an eye on the health of animals, plants, and the soil, and sending out alerts when trends that aren't wanted are found.
- Smart optimisation suggestions and information on how to best use resources.
- Analytics that can predict the weather, food yield, market demand, and other things.
Automotive
- Monitoring the quality of work in real time.
- Tips for optimising production.
- Predictive maintenance for vehicles and tools used in manufacturing.
- Analytics for how people drive and the state of the roads.
- Analytics for self-driving cars and services that connect cars.
- ADAS (Advanced Driver-Assistance Systems).
We offer analytics consulting services
Consulting for business data
Do you need to start from scratch with BI or make changes to a current solution? We offer BI coaching services that can help you with any of these problems.
For new projects and updates, our consultants:
- Bring together the different departments' needs and suggest the design of the BI solution that combines, protects, accurately, and reliably data from many sources and analysis systems. Make an in-depth plan that includes all the steps needed to successfully start a BI solution.
- Create a user adoption plan and train your employees on how to use the solution so that they are fully aware of all of its features and can do so with confidence.
- As we work to improve your current BI solution, we find both obvious and hidden issues that are getting in the way of its smooth operation. We then create an improvement plan with detailed suggestions on how to fix these issues.
While improving your existing BI solution, we identify the evident and hidden problems that hinder your BI solution’s smooth performance and come up with the improvement roadmap containing structured recommendations on how to solve these problems.
Explore our business intelligence consulting service
Big data consulting
Do you want to add big data to your current analytics system or create a new one that works on its own? The many design and technology choices that are out there will not be too much for our big data consultants to handle.
- We make a high-level strategy for your big data solution based on what your business needs and how important those needs are.
- We make it clear where the data comes from, how it moves, and what each part of the system should do.
- Our consultants run training classes specifically for different groups of people, like top managers and the technical team, to help them understand how to use big data to their advantage. Trainers can lead these kinds of events, which can be workshops with time for questions and answers.
Data Science Consulting services
Want to make your business stronger with machine learning-based smart analytics? Our data science experts check to see if this idea can work with the amount and quality of data you have. First, we try a number of machine learning algorithms, and then we make a proof of concept.
If deep learning can help you solve a business problem, our experts will do the following:
- Create the structure of a deep neural network. Choose the right functions for initiation, optimisation, and loss.
- Train the network to make sure that its estimates are very accurate.
We put a lot of weight on software features that guarantee success based on data
We think about our past successes and relate them to specific steps and practices in order to constantly provide analytics solutions that drive value. This helped us figure out which features of the software are most likely to lead to real results and rank them accordingly.
Designed to meet special needs
We make custom solutions for your business that fit its wants and ways of doing things. No matter what hard or complicated job your software has to do (like finding secret trends or finding ways to make things better), we'll make sure it can do it.
Fully automated
By automating data management and control processes and putting in place self-service BI, we free IT teams from having to do data-related work by hand.
able to grow and expand
We create systems that can easily handle any increase in data size or user count and won't need a lot of redoing if new business needs come up.
Easily merged together
We make sure that it works well with both internal and external data sources so that you can get a full picture of how your business is running and save money on infrastructure and customisation costs that aren't necessary.
Simple to use
We focus on making it smooth and easy to understand analytics information, so we make dashboards with clear, intuitive graphics and simple, easy-to-use interfaces.
Enhanced with cutting edge technologies
We talk about AI and machine learning (ML) features that make forecasts, personalisation engines, and business automation tools more accurate. Our knowledge of big data also helps us provide fault-tolerant, low-latency insights across very large data sets.
FAQs about Jainya Tele Enterprises's Data Analytics Consulting Services
Yes, we do, and our main goal is to cut costs as much as possible without sacrificing quality. To cut down on the time and work needed to build blocks from scratch, we use platforms, third-party ready components, and public APIs. The best practices we use in DevOps help us automate development jobs that we do over and over again. We also use Agile development to get feedback from stakeholders all the time and fix any problems as soon as they come up.
Our quality control system backs up our "quality first" philosophy at Jainya Tele Enterprises. At the agreed upon budget and on time, we can offer custom analytics solutions that meet all functional and non-functional needs. We also believe in being open and honest, so we offer custom KPIs (like team velocity, release frequency, cycle time, and lead time) to help you keep an eye on the project's health and the growth of the development team.
One of our main goals is to keep our clients' info safe. We depend on our mature, approved information security management system, which has worked well for decades: in 10 years, we have never had a security breach.
When we make value-driving software, we make sure it can meet specific analytics needs and work with particular business processes. We use our real-world knowledge in business analysis and 20+ industries to make these customised services possible. This knowledge helps us figure out how to deal with problems that are unique to each case.
With our analytics consulting services, you can make smart choices.
Our data analysts are ready to give you professional advice that will help you succeed with your data projects.
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