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Advanced BI & Predictive Data Analytics

Enabling optimization and innovation for organizations globally with our transformational Advanced BI & Predictive Data Analytics services.

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Advanced BI and Predictive Data Analytics are used to gain insights from data to make more informed decisions. Advanced BI is more focused on the present and past, while Predictive Data Analytics is oriented toward the future.

Big Data & IoT Analytics

IoT Big Data Analytics tools involve the use of big data in IoT and advanced business intelligence solutions and technologies to extract insights and knowledge from large, complex, and varied data sets. This includes the use of distributed computing, machine learning, and statistical methods to analyze and make predictions from data, as well as the use of visualizations to present the results in an easily understandable format. IoT and big data research papers delve further into various scenarios, providing detailed explanations and insights.

Mobile BI Data Visualization

Data visualization is the process of creating graphical representations of data to make it easier to understand and communicate insights. This includes charts, graphs, maps, and other types of visualizations which display data in a way that is easy to interpret and communicate, even on mobile and tablet devices. There are many of Mobile BI benefits to boost your business, eg – less time for information & decision, flexibility, and adaptability, and a full set of knowledge sharing in a precise way.

Data-Driven Culture

Dashboarding is the process of creating interactive visual interfaces which allows users to view and analyze data in real-time. Dashboards typically include a combination of charts, graphs, tables, and other visual elements that are used to display data in a way that is easy to understand and interact with. They can be used to monitor key performance indicators, track progress toward goals, and make data-driven decisions.

Master Data Management

Master Data management software is the process discipline to enable a uniform experience of data across processes, systems, business, and technology. Different varieties of master data management solutions and tools are readily available and prove better integration with client systems.

    • Time Series Forecasting: This involves using historical data to predict future values of a variable, such as stock prices or sales.
    • Regression Analysis: This method is used to predict the value of a continuous variable based on the values of one or more other variables.
    • Classification: This entails using a dataset to train a model that can then be used to classify new data into one of several predefined categories.
    • Clustering: This method groups similar data points under a predictive Data analytics framework together based on their characteristics.
    • Anomaly Detection: This technique is used to identify data points that deviate significantly from the norm, which can indicate a problem or opportunity.
    • Natural Language Processing (NLP): This is a branch of AI that deals with text and speech processing, including sentiment analysis and language translation.
    • Recommender Systems: This type of predictive data analytics solution is used to predict what a user may want to watch or buy based on previous behaviors and preferences.

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