Data-Driven Services
Data-Driven Services
Data-Driven Decision Making
In the dynamic world of business today, an increasing number of companies are recognizing the pivotal role that effective data utilization plays in their success. The true alchemy happens when raw data is seamlessly integrated with the relevant business context, transforming it into meaningful information. Delve a bit deeper, and you might find that your data holds narratives with the potential to reshape your company’s trajectory.
Our team and our partners use data expertise to derive actionable insights from vast datasets, enhancing project efficiency and decision-making. Our data engineers create robust data infrastructures, facilitating seamless integration of real-time data from sensors and IoT devices, and our Data scientists harness the power of Machine Learning and AI to deliver accurate predictions, optimize strategies and enable you to make informed business decisions.
Data Advisory
Data becomes information when it is married with the right business context. This information provides actionable business insight. No matter what stage your Business is in terms of Data Readiness, our experts will bring it to a high level of Data Maturity by implementing robust Data Pipelines, proper cleansing and transformation of data, and implementation of Machine Learning and Analytical Dashboards. This approach ensures your Business goes from intuition-based decision making to analytical and strategic Data-Based decision making.
Collecting Data is meaningless without understanding business context. Our experts identify the business objectives so that the right data is collected at the right time, from the right sources.
Data can come in many formats, in different sizes, and from various sources. Some of this data is duplicated and unclean. Our team cleans, transforms and loads this data to on-premise and/or cloud warehouses, as per the business needs.
This Data Advisory forms the foundation for downstream data workloads like automated reports, machine learning models, and other business intelligence tools. This ensures that clean, correct and current data is always available for business-critical decision making.
AI and Machine Learning
Artificial Intelligence (AI) and Machine Learning (ML) constitute the foundational elements of Data-Driven Decision Making for leading enterprises. Through extensive training on substantial datasets, computers can adeptly formulate predictions and conduct calculations with superior efficiency and accuracy compared to human counterparts. This proficiency significantly enhances the decision-making capabilities of your leadership, fostering a more informed and strategic approach.
AI, particularly through Computer Vision, excels in visually discerning patterns and identifying distinctions. For instance, it can forecast equipment failures by analyzing historical data pertaining to such incidents. Additionally, AI’s application in sentiment analysis allows for the nuanced understanding of customer perceptions, enabling businesses to gauge and enhance the sentiment associated with their products.
This is just a glimpse of what Data Science tools are capable of. Our suite of offerings is listed below.
Our Data Offerings
Predictive Analysis
The use of historical data to make predictions like customer churn, equipment failure, inventory status, etc.
Computer Vision
Using data to find differences or patterns in images or videos like defects in welds.
Sentiment Analysis
Evaluating and interpreting emotions expressed in text to gauge overall positive or negative sentiment towards products or services.
Natural Language Processing
Enabling computers to understand human language for tasks such as creating, summarizing or analyzing documents.
Big Data Analysis
Uncovering meaningful patterns, trends and insights from vast and diverse set of data for mission-critical decisions.
Recommendation Systems
Recommendation engines analyze human profiles to recommend best course-of-action. For example, recommending a task to an employee or a product to a customer
Data Engineering
Creating robust data pipelines so that correct, clean and current data is collected, transformed and stored.
Dashboarding and Analysis
Providing business stakeholders with insightful and dynamic reports and dashboards to provide a useful snapshot of relevant information.