0-9
A
- Ad Campaign Optimization
- Agile Development
- Agile Project Management
- AI Analytics
- AI assistant
- AI Chat Assistant
- AI Chatbot for Banking
- AI Conversational Commerce
- AI customer experience
- AI driven engineering
- AI driven software testing
- AI in hiring
- AI in quality assurance
- AI in recruiting
- AI legal assistant
- AI Marketing
- AI Powered Chatbot
- AI software development
- AI Voice Assistant
- AI-Powered Engineering
- API Automation Testing
- API Testing Solutions
- Application Development
- Application Management
- Application Modernization
- Application Programming Interface (API)
- Application Transformation
- Applied Artificial Intelligence
- Artificial Intelligence (AI)
- Assurance Engineering
- Augmented Reality (AR)
- Automated Machine Learning
- Automation Solutions
C
- Chatbot For Legal Services
- Chatbots
- Cloud
- Cloud Automation
- Cloud Consulting
- Cloud Data Platform Solutions
- Cloud Data Services
- Cloud Data Warehouse
- Cloud Deployment
- Cloud Enablement
- Cloud Engineering
- Cloud Infrastructure
- Cloud Integration
- Cloud Managed Services
- Cloud Management
- Cloud Migration Solutions
- Cloud Operations
- Cloud Optimization
- Cloud Security
- Cognitive Automation
- Computer Vision
- Conversational AI
- Conversational AI
- Conversational AI Agent
- Conversational AI Analytics
- Conversational AI Assistant
- Conversational AI Chatbot
- Conversational AI Chatbot
- Conversational AI Commerce
- Conversational AI Experience
- Conversational AI Platform
- Conversational AI solutions
- Conversational Analytics
- Conversational Customer Experience
- Core Modernization
- Cross Platform Development
- Custom Software Development
- Customer Experience (CX)
- Customer Experience Solutions
- Customer Intelligence
- Customer Support Chat Agent
- Cyber Security
- Cyber Threat Response
- Cybersecurity Awareness
- Cybersecurity Awareness Training
- Cybersecurity Management
- Cybersecurity Solutions
- Cybersecurity Threat Detection
D
- Data
- Data Analytics
- Data Analytics Insights
- Data Analytics Solutions
- Data Automation
- Data Ecosystem
- Data Encryption
- Data Engineering
- Data Governance
- Data Hygiene
- Data Management
- Data Management Solution
- Data Migration
- Data Mining
- Data Platform
- Data Privacy
- Data Quality Management
- Data Reporting Solutions
- Data Science
- Data Security Solutions
- Data Transformation
- Data Visualization
- Deep Learning
- Desktop as a Service
- Desktop Automation
- DevOps
- DevSecOps
- DevSecOps Implementation
- Digital Banking
- Digital Business
- Digital Corporate Banking
- Digital Engineering
- Digital Experience Platform
- Digital Operations
- Digital Platform
- Digital Product Development
- Digital Product Development Process
- Digital Product Development Services
- Digital Retail Banking
- Digital Systems and Technology
- Digital Transformation
I
- Industrial IoT (IIoT)
- Industry 4.0
- Infrastructure Engineering Services
- Innovation Product Design
- Innovation Product Development
- Intelligent Automation
- Intelligent Process Automation (IPA)
- Internet of Things (IoT)
- Internet of Things Platform
- Internet of Things Strategy
- IT Infrastructure
- IT/OT Convergence
K
S
- Salesforce
- Salesforce Lexi
- Salesforce Org Health Assessment
- Salesforce Tuner
- Security Testing
- Self-Service Visual Analytics
- Service Desk
- ServiceNow
- ServiceNow Testing
- Site Reliability Engineering
- Software Development
- Software Testing
- Software Testing Solutions
- Source Code Summarization
- Structured Data
W
Big Data Analytics
Big data analytics is the process of examining large and complex data sets in order to uncover hidden patterns, insights, and trends. This involves using advanced analytical techniques and tools to process, clean, and transform vast amounts of data into meaningful and actionable insights.
Big data analytics can be used to solve a wide range of business problems, from understanding customer behavior and preferences to optimizing supply chain operations and improving product quality. By analyzing large and diverse data sets, organizations can gain a better understanding of their customers, identify new market opportunities, reduce costs, and improve their decision-making processes
There are several types of big data analytics, including descriptive, diagnostic, predictive, and prescriptive analytics. Descriptive analytics involves summarizing and visualizing data to gain a better understanding of what has happened in the past. Diagnostic analytics involves inspecting facts to determine why something happened. Predictive analytics involves using statistical models and machine learning algorithms to forecast future events. Finally, prescriptive analytics involves using data and analytics to make recommendations and improve decision-making.
Big data analytics is a critical tool for organizations seeking to gain a competitive edge by using data to make better decisions and improve business outcomes.
Aug 2021 
2 Min Read
