Data Science

Every day, your company collects massive amounts of data from various sources like sales transactions, customer interactions, online activities, production processes and more. Hidden within these vast databases are invaluable insights that could transform the way you make strategic and tactical decisions.

Revenue Growth

Whether developing new revenue streams, optimizing prices or expanding into new markets, data science supports intelligent moves upmarket with higher lifetime customer value.

Risk Management

Statistical models pinpoint risk factors to foresee threats and simulate scenarios, enabling proactive strategies that circumvent issues before they impact goals.

Customer Understanding

Deeper insights into customer behaviors, preferences and predicted needs allow personalized engagements that improve retention and uncover cross-sell opportunities.

Services associated with big data

Essential Skills and Knowledge: Cloud Engineer Requirements

With a mastery of multiple cloud platforms’ capabilities and deep coding acumen across various languages and tools, cloud engineers play a pivotal role in delivering on an organization’s digital transformation goals through highly scalable and agile cloud-based, cloud engineer requirements

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5+ Key Capabilities to Consider in EPM Software

A modern EPM Software consolidates financial and operational data on a single system, delivering real-time visibility and insights through customizable dashboards.

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Big Data and Accounting: Unlocking Hidden Financial Insights

Learn how applying big data analytics can transform accounting functions and drive strategic decision-making for businesses. Discover the top opportunities emerging at the intersection of finance and big data.

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Industries

Healthcare

Industries

Banking & Financial Services

Ways to put Big Data to work

Predictive Analytics

Use machine learning algorithms to examine historical patterns and predict future outcomes, events or trends.

Anomaly Detection

Recognize unexpected observations that do not follow expected behavior which could indicate issues, fraud or waste.

Segmentation & Classification

Group data into meaningful categories to understand customer preferences and streamline marketing, sales and product development.

Optimization & Simulation

Use modeling, experimentation and what-if analysis to improve processes, resource allocation, reduce costs and maximize gains.

360 Requirments Analysis

Analyze Needs from Every Angle Our 360° analysis maximizes requirements quality through multiple investigative lenses.

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Services Associated with Data Science

Python

Language of choice with vast libraries like Pandas, NumPy, SciPy for data preparation, analysis and visualization.

Environment designed for statistical analysis with shiny, ggplot2 and others for advanced modeling, graphs and reports.

Cloud Services

Employ ML APIs, notebooks and managed clusters in AWS SageMaker, Azure ML, GCP AI to scale models.

Data Platforms

Like H2O.ai, Domino and Databricks provide GUI and services for collaborative data science workflows.

Data Science

Services associated with big data

Essential Skills and Knowledge: Cloud Engineer Requirements

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5+ Key Capabilities to Consider in EPM Software

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Big Data and Accounting: Unlocking Hidden Financial Insights

Go To Blog

Industries

Industries

Industries

Industries

Ways to put Big Data to work

360 Requirments Analysis

USE CASES 1

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Services Associated with Data Science

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