Data Science is an integration of data interference, data manipulation, algorithm development, and technology in order to solve analytical and complex problems. If you are looking for AI or Data Science Consulting Companies, Webtunix AI is right decision for you. The core of any business is data or information which determines the insights of data which stored in the business databases. There is plenty of machine learning algorithms can be applied with the help of data science as a service.
Data Science as a Service can help businesses to extract important information from the data warehouse. The data warehouse can help businesses in the following ways:
Discovery of the data insight: The quantitative data analytics can help businesses to steer strategic business decisions.
Development of data Product: Data Science as a Service can be used for development of data product. It also helps in the production and operations at large scale.
The Data Science as a Service is all about finding the hidden information from the data. Data Science Consulting Companies helps in finding the insights at the micro level and understanding the complex behaviour, trends, and inferences. It is all about finding the hidden information from the data. This helps the businesses to make smart decisions. For example,
• Netflix uses data mining services to understand what drives the user interest and uses that to make decisions which data should be shown to the user.
• Youtube keeps the history of User’s favourite videos and searches and recommend them only those video which are related to their Search.
• The target identifies what are the major customer segments within its base and the unique shopping behaviours within those segments. This also helps to guide the messaging the different market audience.
At Webtunix, a data science consulting company, we understand your business data, behaviour of user’s information, shopping data insights and make them useful for your business. The initial step of our data scientist team is to understand your business, business stats, data points, data features, attributes and start data exploration. They find out leads data and try to understand the pattern or characteristics within the data for make it useful for data science as a service. It requires a lot of data building creativity and analytical thinking.
In the next step, the data scientists may apply the quantitative technique in order to get one level deeper. For example the segmentation analysis, time series forecasting, and synthetic control experiments. The intent is to get a deep view of what data is really trying to say. This data-driven insight is central to provide strategic guidance. Here our data science as a service can act as consultants by guiding the business stakeholders on how to act on the findings.
A data-based product is a technical asset that utilizes the data as input and processes that data to return algorithmically generated results. The best example of data-oriented products are:
• Amazon recommender engine to suggest the items for you to buy. This is determined by machine learning algorithms. In the same way Netflix recommends movies to you.
• Gmail’s spam filter is a data product. There is an algorithm behind the scenes which determines that the incoming message is spam or not. Moreover, when you are trying to use Compose Mail, and start writing something, Then Gmail, predict some words, which you used in previous emails
• Computer vision which is used in the self-driving cars is also a data-oriented product. The machine learning algorithms are also able to recognize the traffic lights, other cars on the roads and pedestrians etc.
This is different from the data insight in a way that outcome of that is to provide advice to an executive to make smarter and data-driven decisions. We provide data science as a service to businesses that incorporate the data product behind the scenes.
Webtunix AI being a Data Science as a service provider helps your businesses to predict the failures and data related issues to avoid the equipment downtime and reduce the maintenance cost. These artificial intelligence solutions can detect the minor issues and pattern of failures to determine which asset needs the most attention. The identification of maintenance problem allows you to use resources in the most cost-effective manner. Our data science consulting company will help you to get the most out of your assets.
Text Analytics is a process of transposing the words into numerical values to analyze them by using data mining techniques and solving the business problem. Our data scientists use an iterative approach and we can successfully use the data analytics to gain insight into the content specific values.
Data science as a service can also be used for pattern discovery. Our data scientists use unsupervised learning to surface the patterns associated with the data when no other observations are tagged and no other ground reality is known. The most commonly used techniques are clustering techniques which are used to detect what are the various groupings that exist in the data set. For example, most data science consulting companies uses clustering technique to learn the natural customer segments in the company’s user base.
Webtunix AI serves data science as a service that leverages the power of predictive analytics to derive real-time insights. All data science consulting companies guide businesses to predict the demand for business strategies based on knowledge and future forecasting. Our data science solutions help businesses to distribute their expenditure and meet the demands in real time.
Our data analytics services can be used to correlate historical sales information with internal and external data.
The asset analytics can be used to predict the type of failure by using the warning, sensors, logs, image, and external data.
Our Data Science as a Service can be used for forecasting and optimizing the use of financial resources with the help of advanced analytics.
We help businesses by enhancing the efficiency with the opportunity conversion analytics, demand and sales forecast, pricing analytics and incentive analytics.
We apply predictive analytics models to real-time transactional data which monitors the supervised and unsupervised processes to identify fraudulent activities to take preventive actions.
Data science as a service can be used to analyze and review comments about the products on various social media platforms.
Data science Services can be used to build a single view of customers, employees, partners or suppliers. It can be used to understand, segment and manage the information in a more effective way to improve engagement and satisfaction.
AI-Driven Predictive analytics Model can be used to design the custom recommendation engine that applies to the collaborative filtering to recognize patterns from the historical data, past behaviours and third-party APIs.
We deliver the business changing insights to businesses. We are assisting the IT team to support the work. Our Software as a Service and other platforms (big data, security operations) can be easily integrated with your software solutions. We will help you to get the most out of the data you have. Our data science as a service help you to offer the complete services that work towards the ultimate business objective- increase revenue, maximize utility and reduce the cost of operation.
Webtunix help your business to enable smart recommendations for better business insights, so you can take better business decisions. We can also help your business to integrate predictive analytics modelling into your business operations. Our data science as a service can also help you to optimize the operations and automate the key processes.
We Offer Data Science Consulting in San Francisco, New York, Tampa, Virginia, Dallas, Texas, Washington DC, USA, Ontario Canada, Denmark, United Kingdom, United Arab Emirates, Singapore, Germany, Netherlands, Italy, China, Nigeria, Bangalore, Delhi India
Better data is the key for the better products. We train you data for Machine Learning and better business analytics. We can annotate, collect, evaluate and translate any type of data in any language.