Data Science & Analytics Services:
Simplifying Enterprise
Decision Making
60+ Qualified Professionals| 500+ Clients |
7+ Years of Experience
Want to know how it works?
Learn a different view of problem-solvingVarious Domain Functionalities that can be
transformed with Data Science & Analytics Services
Data analytics uncovers insights to optimize player performance and enhance strategies.
Analyzing player data helps identify injury risks and develop preventive measures.
Analytics aids in identifying promising talents and making informed recruitment decisions.
Data-driven insights enhance the fan experience through personalized content and interactive platforms.
Coaches utilize data analysis to devise winning game plans and make real-time adjustments.
Analytics provides a deeper understanding of player strengths and weaknesses for targeted training.
Sponsorship deals and ticket sales benefit from data-driven fan behavior analysis.
Teams gain an edge by leveraging data to make informed decisions on and off the field.
Data analytics enables personalized treatments based on individual genomic profiles.
Analyzing vast genomic datasets uncovers crucial insights for disease prevention and treatment.
Data analytics identifies genomic markers associated with diseases, aiding early detection.
Analytics-driven genomic research accelerates the discovery and development of targeted therapies.
Advanced algorithms categorize diseases based on genomic variations, leading to improved diagnostics.
Large-scale genomic data analysis helps identify genetic factors contributing to disease prevalence.
Analytics empowers clinicians with evidence-based genomic insights for informed treatment decisions.
Robust analytics safeguards patient privacy while utilizing sensitive genomic information.
Analyzing data helps optimize milk production for maximum efficiency.
Data analytics ensures strict quality standards are met throughout the production process.
Analyzing data enables efficient management of the dairy supply chain.
Data analytics predicts equipment failures, reducing downtime and maintenance costs.
Data-driven insights help optimize inventory levels and minimize wastage.
Analyzing data provides valuable insights into consumer preferences and market trends.
Data analytics helps determine competitive pricing strategies for dairy products.
Analyzing data aids in reducing environmental impact and improving sustainable practices.
Data analytics optimizes project scheduling, resource allocation, and risk assessment for improved efficiency.
Analytics tools provide live insights into construction site progress, enabling proactive decision-making and issue resolution.
Analyzing historical data helps identify cost-saving opportunities, optimize material procurement, and reduce project overruns.
Data-driven analytics ensures adherence to construction standards, detects defects early and enhances overall project quality.
Analyzing safety data helps identify high-risk areas, implement preventive measures, and enhance on-site worker safety.
Predictive analytics enables proactive equipment maintenance, reducing downtime and enhancing productivity.
Analyzing supply chain data streamlines material procurement, minimizes delays, and improves project timelines.
Comparing project data against industry benchmarks helps identify areas of improvement and enhances competitiveness.
Users could view data on their call history, including the duration and frequency of calls, and use this information to identify trends and patterns.
The app could provide data on users' text message habits, including the number of messages sent and received and the most common recipients.
Users could track their data usage over time and receive alerts when they are close to reaching their monthly data limit.
Users can get information on the strength and availability of the network in their area, helping them choose the best service plan.
Data on the quality of calls, including factors such as call drop rate and connection speed, helping users identify any potential issues with their service can be achieved.
The app could provide users with easy access to customer support services, allowing them to report issues or ask questions directly from the app.
It can analyze users' data usage and call patterns to recommend the best service plan for their needs.
The app could integrate with other communications apps, such as messaging or video conferencing platforms, to provide users with a single hub for all of their communication needs.
This could be useful for public transportation systems, allowing users to see the location and estimated arrival time of buses or trains.
Users could view data on travel patterns and trends over time, helping them make informed decisions about their own travel plans.
The app could use data on past traffic patterns to predict congestion and recommend alternative routes to users.
Users could enter their desired destination and receive recommendations for the best way to get there using public transportation options.
The app could provide real-time information on the availability and prices of ride-sharing services, allowing users to make informed decisions about how to get around.
The app could learn users' travel preferences and habits over time, and provide personalized recommendations for routes and modes of transportation.
If the app is being used in a city with smart traffic signals and other infrastructure, it could provide users with information on the status of these systems and how they may impact their travel.
Users can find others traveling the same route, allowing them to carpool and potentially save money and reduce their environmental impact.
Users could enter their income and expenses, and the app could help them track their spending and identify areas where they may be able to save money.
Data and analysis on investment opportunities, helping users make informed decisions about where to invest their money.
Data on their credit score and help them understand the factors that impact their score.
The app could provide users with tools and resources to help them plan for the future, including retirement planning and saving for large expenses.
The app could allow users to link their financial accounts, such as bank accounts and credit cards, and provide a single view of their financial situation.
Analyze users' financial data to identify potential fraudulent activity and alert them to any issues.
Data on users' financial habits and goals to provide personalized recommendations on investments, budgeting, and other financial matters.
The app could provide users with access to financial advisors, allowing them to get expert advice and guidance on their financial decisions.
The ability to combine data from multiple sources and formats, such as electronic medical records, clinical trial data, and real-world data.
The use of charts, graphs, and other visual aids to help users understand and interpret data.
The use of statistical techniques to identify patterns and trends in data, and to make predictions about future outcomes.
The use of algorithms to learn from data and improve predictions over time.
The ability to understand and analyze human languages, such as extracting insights from patient notes or social media posts.
The ability to process and analyze data as it is being collected, allowing for more timely decision-making.
The ability for multiple users to access and work with data in a shared environment.
The ability to store and access data in a secure manner, in compliance with relevant regulations and guidelines.
The app could provide real-time data on the status of production, including the number of units produced, any bottlenecks in the process, and the efficiency of the production line.
You can get data on the quality of the products being produced, helping manufacturers identify any issues and take corrective action.
Other data on the levels of raw materials and finished goods in stock, helping manufacturers plan for production and identify any potential shortages can be acquired.
Information related to the maintenance history of manufacturing equipment, helping manufacturers schedule regular maintenance and identify potential issues before they cause disruptions.
The energy consumption of manufacturing equipment, helping manufacturers identify opportunities to reduce their energy usage and costs.
Data on the status of orders and deliveries from suppliers, helping manufacturers plan production and identify any potential delays.
The app could use data on past production and maintenance to predict future issues and help manufacturers proactively address them.
Data on the productivity of individual employees or teams, helping manufacturers identify areas for improvement and optimize the workforce.
The app could provide graphical or visual representations of data, such as charts, graphs, or maps, to help users understand and interpret the data more easily.
The app could provide tools for analyzing sales and customer data, such as identifying trends and patterns in customer behavior, forecasting future sales, and analyzing the effectiveness of marketing campaigns.
The app could use machine learning algorithms to analyze sales data and recommend optimal prices for products and services.
The app could provide personalized product or service recommendations to customers based on their past purchases and other data.
The app could provide tools for managing inventory, such as forecasting demand, identifying slow-moving or excess inventory, and generating restocking alerts.
The app could provide tools for improving the customer experience, such as by analyzing customer satisfaction data and identifying areas for improvement.
The app could provide tools for analyzing the effectiveness of marketing and advertising campaigns, such as by measuring the impact of different channels or targeting strategies.
The app could provide tools for enhancing security, such as by identifying and mitigating fraudulent activity or detecting and preventing cyber-attacks.
Users could track their energy usage over time and receive recommendations for ways to reduce their consumption and save money.
The app could provide real-time data on the energy being generated by renewable energy sources, such as solar panels or wind turbines.
The app could provide users with information on their carbon footprint and offer suggestions for reducing their impact on the environment.
The app could allow users to control and monitor their smart home devices, such as thermostats and lighting, to optimize energy usage.
The app could provide data and analysis on energy market trends, helping users make informed decisions about their energy usage and investments.
The app could allow users to view their energy usage and bills, and make payments directly through the app.
The app could use data on users' energy usage habits to provide personalized recommendations for ways to reduce their energy consumption and save money.
The app could provide users with information on renewable energy sources in their area, and help them make the switch to a cleaner energy source.
The app could provide graphical or visual representations of data, such as charts, graphs, or maps, to help users understand and interpret the data more easily.
The app could provide tools for analyzing trends and patterns in healthcare data, such as identifying correlations between different variables or forecasting future trends.
The app could use machine learning algorithms to predict outcomes such as the likelihood of a patient responding to a particular treatment or the likelihood of hospital readmission.
The app could provide recommendations or alerts to healthcare providers based on the analysis of patient data, helping them to make more informed decisions about patient care.
The app could provide tools for organizing and storing patient data, such as electronic health records (EHRs), and allow healthcare providers to access and update the data as needed.
The app could provide tools for securely communicating with patients and other healthcare providers, such as through messaging or videoconferencing.
The app could provide educational resources and information to patients, helping them to better understand their health and treatment options.
The app could provide tools for analyzing the health of entire populations and identifying trends and patterns that could inform the development of interventions to improve population health.
Is your business gaining good growth and profitability? Yes, right? Millions of businesses out there have
the same answer. But, in those millions, some are excelling and getting recognized as the world’s
greatest industrialists. Do you know how? They know how to utilize data! Or more specifically, they
know someone who has people, processes, or platforms to keep up with the data deluge.
PiTangent Analytics is that someone for thousands of enterprises worldwide
providing Data Science & Analytics Services.
Industries (Business) + Technology + Algorithms (Data Science) = PiTangent
PiTangent is a Technology hub built by Engineers while its structure is perfectly calculated
by expert Mathematicians maintaining the Art of Business at its finest!
PiTangent covers all the areas of Data Science & Analytics Services making it a one-stop-shop for your data science solutions!
There are several types of Data Science & Analytics Services that PiTangent provides in order to gain insights and make informed decisions based on the data. Some of them are as follows:
These services provide tools and techniques for collecting, storing, and analyzing data to support decision-making and strategic planning. Enterprise business intelligence solutions often include dashboards and interactive reports that allow users to visualize and analyze data in real time.
Advanced analytics services
These data science services provide more sophisticated data analysis techniques, such as machine learning and artificial intelligence, to uncover hidden insights and patterns in data. Advanced analytics services can be used to make predictions, identify trends, and optimize business processes.
Cloud-based analytics services
These services provide analytics capabilities as a cloud-based service, allowing organizations to access and analyze data without the need to invest in hardware or software infrastructure.
Data integration services
These data science services help organizations bring together data from multiple sources, such as databases, spreadsheets, and cloud-based applications, and clean, transform, and integrate it for analysis.
Big data analytics services
These services provide tools and techniques for analyzing large volumes of structured and unstructured data, such as social media data, sensor data, and weblogs. Big data analytics can help organizations gain insights from data that would be difficult or impossible to analyze using traditional methods.
Custom analytics services
These Data Science & Analytics Services are tailored to the specific needs and goals of an organization, and may involve the development of custom algorithms, models, and reports to meet their specific needs.
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What makes PiTangent different than
other Data Science & Analytics Services firms?
PiTangent has a team of skilled and experienced data analysts who are proficient in various data analysis tools and techniques making it one of the best data analytics service providers.
Our experts have a strong understanding of how to organize and manage large data sets, including how to use databases and data warehousing systems.
Our data analysts have a strong foundation in programming languages such as Python, R, SQL, and SAS. These skills are used to extract, clean, and manipulate data, as well as to create algorithms and statistical models.
In PiTangent, we have expert data analysts proficient in creating clear and informative data visualizations using tools such as Tableau, Excel, and Google Charts.
PiTangent as stated by its clients is a “reliable and trustworthy data analysis company”. This includes being honest about the limitations of our data and the conclusions that can be drawn from it, as well as being transparent about the methods and approach.
Our data analysts can effectively communicate their findings and recommendations to both technical and non-technical audiences. This includes the ability to present data visually and to explain complex technical concepts in a clear and concise manner.
The ability to identify and solve problems is an essential quality of a good data analytics company. In PiTangent, we have data scientists who identify the root cause of a problem and develop effective Data Science & Analytics Services and solutions using data-driven approaches.
In Pitangent, we know how to handle large and complex data sets and extract valuable insights from them. This includes the ability to use advanced data analysis techniques and tools to process and analyze large volumes of data.
PiTangent is harnessing the power of data analytics to improve customer experiences, optimize marketing efforts, and increase sales in the retail industry by identifying customer preferences and behaviors, and helping develop targeted marketing campaigns based on this information.
We are using data analytics to improve patient outcomes, reduce costs, and optimize resource allocation in the healthcare industry by identifying trends in patient data, such as patterns in the prevalence of certain diseases, and predict which patients are at risk for certain conditions.
Some areas of pharma that we have improved with data science are improving drug development, optimizing supply chain management, enhanced marketing efforts, reducing, fraud, improving drug safety, enhancing patient care, improving pricing and reimbursement, etc.
Data analytics can be used to improve risk management, fraud detection, and decision-making in the finance industry. For example, our expert data analysts identify patterns in financial data that may indicate fraud or risk and develop models for predicting financial outcomes.
In the manufacturing industry, data analytics can be used to optimize production processes, reduce waste, and improve efficiency. Finding bottlenecks in production processes and optimizing the use of resources such as raw materials and energy can be performed with proper data science.
Data analytics can be used to optimize network performance, improve customer service, and identify new business opportunities in the telecommunications industry. Our data experts recognize patterns in network usage data and develop algorithms for optimizing network performance.
We help the transport industry optimize logistics, improve safety, and reduce costs with decision science. We perform the identification of various patterns in data related to vehicle maintenance, fuel consumption, and route efficiency, and build strategies for improving performance in these areas.
Data analytics can be used to optimize energy usage, reduce costs, and improve efficiency in the energy industry. We identify patterns in data related to energy usage and develop algorithms for optimizing energy consumption.
Ziggma is a professionally designed solution for effective stock research and portfolio management. Its innovative features and tools help the users manage their investment portfolio more effectively and with greater confidence.
Freight LoadBoard Simplified. Whether it’s a carrier, owner-operator, shipper, or broker, FreightChanger offers the tools one needs to make posting and finding loads easier than ever.
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TeachersInTouch is a datafication platform that automates traditional educational institute operations like paperwork, parents calling, and documentation process and lets the educators focus more on teaching.
Developed for various care industries, Clientbridge SaaS solutions address each and every element of the requirement of every possible care facility whether this is outreach services or in-house residential facilities.
VOCKAM is a cloud-based platform that supports effective key account relationship management. It helps to align organizational goals and improve internal processes. It is an easy-to-understand platform that lets key account managers act quickly on your behalf and truly become an integral part of your business’ success.
This platform helps EMDR patients to break free from emotional pain. The USP of the platform is to offer instant relief from Depression, Anxiety, PTSD, Panic Attacks, Grief, Addiction, etc.
ClickOn is a full-fledged project management application specially designed and developed to meet the entire management requirements of the media houses like assets, projects, events, and users. The special loaded features like task assignment, video upload and modification, etc. make ClickOn something more than just ordinary management tools.
Talitu is a subscription-based web application that enables our clients (mainly Startups) to create their own website at the least expenditure for their end-users. The final website will have multiple features and functionalities to fulfill our client’s business needs.
LB Servizi provides Radioprotection, Radiological Characterisation, and Environmental Surveillance. We have developed a highly interactive and real-time dosimetric management system for them. The system remains always connected with the database to provide online consultation to the users.
Babylon is a Digital Information Management tool for use in the Architectural, Engineering, Construction, and Operation/Maintenance (AECO/M) industry. It manages the entire document proposal, verification, and approval process of the construction industry for a seamless process.
KRG is a one-stop shop for all your computers, accessories, and peripheral requirements. It is one of the highly featured e-commerce platforms where all your computer-related purchase requirements will be met.
NightMotorSports is one of the best e-commerce stores to purchase car and bike parts & accessories. The heavy parts will be delivered to your doorstep saving a lot of your time and money.
Rowdy Jewellery is an online e-commerce platform that sells some of the top quality and finest pieces of jewellery. Some of their exclusive collection includes Bracelets, Earrings, Rings, Necklaces & Pendants.
"Great quality deliverable with respect to timeline and business scope. Great Team to work with in general. Definitely can recommend to anyone who is looking for Hi-Fi UX Mockups. Thank you!"
Ben Koussa
Founder
"From the very first call they were the only agency that has shown real interest and trying to understand the reason behind why I ask for what I ask for. They were customer oriented all the time and delivered on demand, while proposing improvements wherever possible. Very great cooperation! They have prepared my SaaS documents they will most likely be the partner to develop it in the end!"
Marco Koehler
Co-Founder
"Know high of the highest level and maximum availability. Highly recommended."
Daniele Nardin
Co-Founder
"The quality of work was great, but they went way past schedule (could be due to Corona, who knows). I will be working with them again, though. I would recommend them for any project."
Justin Butler
CEO