Are you struggling to leverage your business data for improved decision-making? Bank on our data analytics services to understand data better. From data collection to data analysis, we provide comprehensive solutions to deliver the right insight.
Years of Experience
Industry Verticals
Experienced Professionals
At Invensis, we have provided expert analytics services to businesses worldwide for over 24 years. We rely on our team of data scientists, analytics experts, and consultants with experience in developing solutions for multiple industries (finance, healthcare, marketing, telecommunications, transportation, etc.) to design end-to-end data analytics solutions.
Our edge lies in identifying the right data sources, applying them to the right algorithms, and generating accurate and actionable insights. We offer various customized analytics services (AI, Big Data management, IoT, BI, etc.) leveraging the latest tools (Python, Tableau, Power BI, QlikView, etc.) and technologies.
We specialize in delivering customized analytics models. The models are driven by well-defined KPIs and metrics, well-aligned with clients' business objectives. In addition, every model is validated, tested, deployed, and monitored to ensure high levels of efficiency. Because of this structured approach, we are rated as an expert analytics services provider.
Our data analytics service is driven by a well-defined process with proper sequential steps. These steps include:
Our experts try to understand the business objectives and goals and build project plans.
Based on the plan, we identify all the data sources and collect and clean the data to make it consistent.
After the data is standardized, we perform exploratory data analysis to gain initial insights.
Based on the initial insights, we choose the right data analysis technique to extract patterns and trends.
Finally, we Interpret the results and present them with visualization techniques to make them more comprehensible.
There are several potential benefits to outsourcing data analytics services your organization, including
Outsourcing can be more cost-effective than hiring in-house data analysts, especially if you only need occasional or project-based support.
Data analytics outsourcing companies often have a team of experts with various skills and experience. This can be particularly beneficial if you need specialized expertise that is not available in-house.
By outsourcing data analytics, you can free up your internal resources to focus on core business activities, potentially improving efficiency and productivity.
Outsourcing allows you to scale up or down your data analytics support as needed, providing greater flexibility than hiring in-house staff.
Outsourcing data analytics can help mitigate data handling and security risks, as reputable data analytics consulting companies will have robust data protection measures.
These technologies are being integrated into data analytics tools, allowing for more sophisticated and automated analysis.
The proliferation of connected devices generates vast amounts of data for various analytics applications. Data analytics services companies are highly investing in IoT Technologies to improve day-to-day operations.
There is a growing demand for data analytics that can provide insights in real-time, allowing businesses to respond quickly to changing conditions.
Visualization and presentation tools are becoming more sophisticated, allowing businesses to communicate data-driven insights more effectively and engagingly.
As data becomes more valuable and prevalent, there is a need for robust policies and procedures for managing and protecting it.
It is the process of accessing various datasets to come to a conclusion about the information they usually hold. The techniques used in data analytics helps to use raw data and unveil different patterns to draw out valuable insights.
The four main types of data analytics are: descriptive, diagnostic, predictive, and prescriptive.
Descriptive analytics: This type of analytics is used to summarize and describe the characteristics of a given dataset. It is used to understand the past and present state of the data.
Diagnostic analytics: This type of analytics is used to provide exceptional data analytics solutions such as identifying the cause of a particular problem or issue. It is used to understand why something happened and is often used in conjunction with descriptive analytics.
Predictive analytics: This type of analytics is used to forecast future events or trends based on historical data. It uses statistical models and machine learning algorithms to make predictions.
Prescriptive analytics: This type of analytics is used to provide recommendations or solutions to a problem. It uses a combination of descriptive, diagnostic, and predictive analytics to suggest actions that can be taken to optimize or improve a situation.
There are many tools available and the best data analytics outsourcing companies use the one depending upon your business requirements. Some popular tools used in data analytics include:
Excel: Excel is a widely used tool for data analysis and visualization. It is a spreadsheet software that can be used to organize, clean, and analyze data, and it also offers built-in visualization capabilities.
R and Python: R and Python are popular programming languages for data analysis. A data analytics company relies on these tools as they offer a wide range of libraries and packages for data manipulation, visualization, and machine learning.
SQL: SQL is a programming language used for managing and manipulating relational databases. SQL can be used to extract data from databases for analysis.
Tableau and Power BI: Tableau and Power BI are popular data visualization tools. They provide interactive dashboards and visualizations that can be used to explore and analyze data.
Data analytics and data science are both related and have some distinct differences. Data analytics is the process of assessing, cleaning, transforming and modeling data to find useful information and support in decision-making. On the other hand, data science is a broader field that includes data analytics, statistical modeling, machine learning and others. It is used for discovering data patterns, predictions and using various analytical techniques to build data models.
It refers to hiring a third-party company or individual to handle data analytics tasks and responsibilities. It is also called data analytics as service. This can include data collection, cleaning and preparation, analysis, and visualization. Some of the technologies in data analytics are Artificial Intelligence, Big Data, the Internet of Things (IoT), Business Intelligence, and Automation. As a healthcare data analytics company, we provide data analytics solutions to healthcare organizations.
Several potential benefits of data analytics services include cost savings, access to specialized expertise, increased efficiency, improved focus, greater flexibility, and risk management.
Any business that relies on data to make informed decisions can benefit from outsourcing data analytics. This includes companies in various industries, such as finance, healthcare, retail, and technology. Best data analytics companies like ours can help access these benefits to our clients.
We have strict confidentiality policies and regularly update security measures to protect our client's data. We also have a team of highly qualified professionals who oversee all of our analytics work to ensure the accuracy and reliability of our results. Additionally, we adhere to all relevant data privacy regulations and can guide data governance best practices to help our clients meet regulatory requirements.
As an experienced analytics company, we understand the value that data-driven insights can bring to your business. We have been delivering data analytics consulting services to our global clients since 2000. Our services are delivered to retail stores, finance & accounting, eCommerce, manufacturing, supply chain, real estate, healthcare, and insurance. By leveraging our data analytics services, you can gain a deeper understanding of your business operations and make informed decisions that drive growth and success. We help you identify improvement areas, optimize marketing campaigns, and increase efficiency. Additionally, we provide valuable insights into customer behavior and preferences, allowing you to tailor the products and services to meet the needs of your audience better. Banking on our services, our clients get access to advanced tools, technology, and a team of qualified professionals who can help their businesses make the most of the available data.
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Invensis has been a great business analytics solutions BPO partner. They have helped us navigate the data services and analytics landscape. They have a team of experts who are not only knowledgeable but also flexible and responsive to our needs at every step.
We struggled with making sense of the large data sets that our organization generates daily. The Invensis big data analytics services team intervened at a successful time and helped us set up a data analytics solutions process that has been very helpful.
We are delighted to work with a leading business analytics services BPO company that has provided us with data transformation capabilities. The reports and dashboards are proving to be beneficial in making informed decisions.
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