Data is everywhere. It is in your conversations with your customer, in transactions with your customer, in your billing systems, in your support systems, in your internal/external operations and so on… If the data stays as-is, it is only a set of characters and numbers. With new technologies on the rise, it’s becoming more important for organizations to learn how to use their data wisely. Specialized experts can scientifically tackle data to extract value for your business and operations.
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Data Science & AI
Leverage AI/ML to make data-driven decisions
OVERVIEW
Empowering organizations with Data Science
Introduction
What is Data Science?
Data Science is a multidisciplinary approach combining principles and practices from mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data, with an objective to extract meaningful insights for a business.
01Data Strategy
01
Data Strategy
Our team of experts will collaborate with your business and technology stakeholders to gather detailed information about your existing processes, systems, and technologies. They will identify gaps and bottleneck areas, and then propose a robust data strategy with outcome-driven metrics.
02Data Engineering
02
Data Engineering
Our team will begin by leveraging modern data acquisition strategies to acquire and collect data from various sources. Our data gurus will apply the necessary ETL (Extract-Transform-Load) processes and also implement required transformations based on the data strategy relevant to your organization. Subsequently, our data experts will designate a cloud-based data lake or a big data warehouse to store structured and unstructured data. The next step involves performing data enrichment, which includes data cleansing and structuring to meet the everyday data processing requirements.
03Data Modeling
03
Data Modeling
The application of the right ML techniques and algorithms is paramount for creating a precise data model. Our data scientists consistently invest in learning the trends and apply them at this stage to select the most suitable ML algorithms according to your organization's strategy. Unparalleled benefits are reaped in the form of pattern recognition for forecasting and predicting results. Our customers have been able to make calculated spending decisions, save costs, and take proactive actions on their everyday business problems.
04Predictive Intelligence
04
Predictive Intelligence
Predictive intelligence is a continuous process of fine-tuning and tweaking the defined processes to increase prediction accuracies. Our data scientists have achieved tremendous success ratios on an ongoing basis. Our clients have recognized its value in the form of operational efficiencies and preventive guidance. Moreover, our focus is also on helping our clients make smart, data-driven decisions. We achieve this using the Business Intelligence Dashboards that we put together for them, providing real-time breakthrough insights into end-to-end operations.
Why Companies Benefit From Using Data Science
Data science has many benefits, and has become an essential tool for businesses of all sizes.
- Improved Decision-Making
- Increased Efficiency
- Enhanced Customer Experience
- Competitive Advantage and Innovation
- Predictive Analytics
- Personalized Marketing and Customer Segmentation
Microsoft fabric and copilot in Power BI
Revolutionizing Data Analytics and Insights with AI
Microsoft introduces two groundbreaking solutions: Microsoft Fabric and Copilot in Power BI. Microsoft Fabric, currently in preview, brings together data and analytics in one platform, seamlessly combining Microsoft Power BI, Azure Synapse, and Azure Data Factory for efficient collaboration.
AI-Enhanced Copilot in Power BI
Experience effortless data exploration as Copilot uses AI to generate reports and insights from data descriptions, in private preview.
Microsoft Fabric: Data Experiences & Copilot
Explore data integration, engineering, warehousing, real-time analytics, and BI with Copilot, all on a lake-centric SaaS platform.
Streamlining Data with Direct Lake Mode
Standardize formats, improve query performance, and enable real-time access. Simplify governance, security, and compliance.
Discover the future of Data Science with Microsoft Fabric. Unify your data, enhance collaboration, and unleash insights effortlessly.
How we can help
Why should you choose MIR Digital Solutions to get deeper data insights?
MIR Digital Solutions has a proven track record of successful implementations and a strong commitment to AI/ML technologies, resulting in unrivaled product knowledge and Data Insights expertise.
Data Science Projects completed by our team
Inventory Management for Home Health Agency:
Real-time inventory tracking for medicines from the Clinic to the mobile nurse to patient’s home or retirement home. Plan daily nurse routes with Predictive data models to leverage Product availability, expiry and patient commodities.
Elections Analysis:
Collect & store raw unstructured and Geo spatial polygon data. Build data models to analyze voting patterns by region, demographic, socio-economic status. Guide Political parties towards campaign activities.
Churn Prediction:
Fully automated solution to predict user churn and identify churn triggers. Segment customers and push ‘personalized’ retention offers.
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