ISO/IEC 27001:2022
We strive to follow the international regulations of ISO /IEC 27001:2022 for handling confidential business documents.
10+
Years Of Experience
Simplifying Data. Empowering Business.
Make Better Use of Your Data With Data Analytics Services
Are scattered data assets and increasing reporting needs slowing down your business growth? Don’t worry, Offshore India Data Entry is here to help you to identify trends, pattern and opportunities with our data analytics services.
By combining the power of artificial intelligence and seasoned data analysts, we support businesses across the USA, UK, and Australia to make effective plans and decisions.
You can partner with us when you need support to analyze simple as well as complex data with 99% accuracy.
Manual Data Analytics and AI-Powered Data Analytics
Traditional Manual Data Analytics Process
- 1Data Collection
- 2Data Integration
- 3Data Cleaning
- 4Data Organization
- 5Data Verification
- 6Manual Data Analysis
- 7Trend & Pattern Identification
- 8Report Generation
- 9Data Visualization
- 10Quality Check
- 11Final Delivery
- 1Data Collection
- 2Data Integration
- 3Data Cleaning
- 4Data Organization
- 5Data Verification
- 6Manual Data Analysis
- 7Trend & Pattern Identification
- 8Report Generation
- 9Data Visualization
- 10Quality Check
- 11Final Delivery
- 1Data Collection
- 2Data Integration
- 3Data Cleaning
- 4Data Organization
- 5Data Verification
- 6Manual Data Analysis
- 7Trend & Pattern Identification
- 8Report Generation
- 9Data Visualization
- 10Quality Check
- 11Final Delivery
Modern AI-Powered Data Analytics Process
- 1Data Collection
- 2Data Integration
- 3AI-Powered Data Cleaning
- 4AI-Powered Data Organization
- 5Automated Data Validation
- 6AI-Powered Data Analysis
- 7AI-Powered Trend & Pattern Identification
- 8Human Data Verification
- 9Data Visualization
- 10Quality Check
- 11Report Creation
- 12Secure Delivery
- 1Data Collection
- 2Data Integration
- 3AI-Powered Data Cleaning
- 4AI-Powered Data Organization
- 5Automated Data Validation
- 6AI-Powered Data Analysis
- 7AI-Powered Trend & Pattern Identification
- 8Human Data Verification
- 9Data Visualization
- 10Quality Check
- 11Report Creation
- 12Secure Delivery
- 1Data Collection
- 2Data Integration
- 3AI-Powered Data Cleaning
- 4AI-Powered Data Organization
- 5Automated Data Validation
- 6AI-Powered Data Analysis
- 7AI-Powered Trend & Pattern Identification
- 8Human Data Verification
- 9Data Visualization
- 10Quality Check
- 11Report Creation
- 12Secure Delivery
Outsourcing vs. In-House Data Analytics
Choosing between in-house data analytics and outsourcing depends on your particular requirements.
Benefits
Cost Efficiency
Outsourcing
Reduces the need to invest in AI tools for data analysis, and specialized experts
Inhouse
Need to invest in hiring, training, and providing monetary benefits for employees, and purchasing and maintaining the latest AI-powered tools
Benefits
Access to Expertise
Outsourcing
Provide access to skilled data analysts
Inhouse
Requires hiring experienced data analysts and providing timely training for them
Benefits
Scalability
Outsourcing
Scaling data analysis capacity up is comparatively easier
Inhouse
Scaling data analysis capacity up is comparatively difficult and time-consuming
Benefits
Research Speed
Outsourcing
AI-assisted tools and experienced professionals accelerate data analysis
Inhouse
Research speed depends on the available employees and tools
Benefits
Data Validation
Outsourcing
Initial validation is completed using AI tools, and final validation is carried out by experienced analysts
Inhouse
Validation depends on the resources available and the workflow prevailed
| Benefits | Outsourcing | Inhouse |
|---|---|---|
Cost Efficiency | Reduces the need to invest in AI tools for data analysis, and specialized experts | Need to invest in hiring, training, and providing monetary benefits for employees, and purchasing and maintaining the latest AI-powered tools |
Access to Expertise | Provide access to skilled data analysts | Requires hiring experienced data analysts and providing timely training for them |
Scalability | Scaling data analysis capacity up is comparatively easier | Scaling data analysis capacity up is comparatively difficult and time-consuming |
Research Speed | AI-assisted tools and experienced professionals accelerate data analysis | Research speed depends on the available employees and tools |
Data Validation | Initial validation is completed using AI tools, and final validation is carried out by experienced analysts | Validation depends on the resources available and the workflow prevailed |
How does OIDE, the Leading Offshore Data Analytics Outsourcing Company, help overcome data analysis challenges?
Businesses often struggle to analyze large volumes of data quickly without compromising quality. OIDE, the leading provider of business data analytics outsourcing and data visualization outsourcing services can help businesses to simplify their data analysis. By combining artificial intelligence and human expertise in the right processes, we deliver customized data analysis for businesses in diverse industrial verticals.
- We collect data from multiple sources and convert it into a single standardized format.
- OIDE uses AI-powered tools to identify duplicate records and inconsistencies.
- Our experts validate the accuracy of the data before the final delivery.
- TheOIDE, the provider of trusted data analytics outsourcing service in India, creates reports and interactive dashboards in tools like Power BI, Tableau, Looker Studio or Excel.
- We use the potential of artificial intelligence for data preparation, report creation, and dashboard generation.
- Our analysts check data accuracy and compare our outcomes with requirements before delivery.
- We analyze various operational data to identify trends, patterns, and growth indicators.
- OIDE, the provider of trusted data analytics outsourcing service in India, includes AI-powered tools to identify hidden information.
- Our data analysts verify the final data and create detailed reports if required.
- We convert complex datasets into pictorial diagrams for easier comprehension.
- OIDE, the known provider of data visualization services, incorporates AI-powered tools to create interactive and insightful reports.
- Our data analysts review the visualization for accuracy, quality, and consistency.
- We support businesses with recurring reporting by offering reports at your preferred time.
- Offshore India Data Entry, the provider of trusted data analytics outsourcing service in India, includes AI tools for data preparation and organization.
- Our data analysts verify the data in every report before it is delivered to the client.
AI and Manual Involvement in Data Analytics
Data Analytics Service
Data Integration & Consolidation
AI/Automation
70-90%
Human
10-30%
Human Responsibility
Review data, resolve errors, and conduct final QC
Data Analytics Service
Reporting & Dashboard Development
AI/Automation
60-90%
Human
20-40%
Human Responsibility
Review dashboard, requirements, and check accuracy
Data Analytics Service
Business & Operational Analysis
AI/Automation
50-75%
Human
25-50%
Human Responsibility
Interpret data, check the accuracy of findings
Data Analytics Service
Data Visualization
AI/Automation
60-85%
Human
15-40%
Human Responsibility
Pick suitable visual formats, ensure reports are presented in a clear manner
Data Analytics Service
Ongoing Analytics Support
AI/Automation
60-80%
Human
20-40%
Human Responsibility
Review exceptions, identify and fix errors, check requirements
| Data Analytics Service | AI/Automation | Human | Human Responsibility |
|---|---|---|---|
Data Integration & Consolidation | 70-90% | 10-30% | Review data, resolve errors, and conduct final QC |
Reporting & Dashboard Development | 60-90% | 20-40% | Review dashboard, requirements, and check accuracy |
Business & Operational Analysis | 50-75% | 25-50% | Interpret data, check the accuracy of findings |
Data Visualization | 60-85% | 15-40% | Pick suitable visual formats, ensure reports are presented in a clear manner |
Ongoing Analytics Support | 60-80% | 20-40% | Review exceptions, identify and fix errors, check requirements |
Why Choose Our Business Data Analytics Outsourcing Services?
HIPAA and SOC 2 Type 2
Our processes are designed to support key practices of HIPAA and SOC 2 Type 2 to ensure the security and integrity of your business data.
200+ Projects Delivered
We have supported 50+ clients in data analytics services.
Case Studies on Data Analytics Services
Case study 1
A UK-based e-commerce company specializing in consumer electronics approached OIDE, when they wanted to organize data spread across various platforms. We adopted AI-powered tools to extract data, classify it, and convert it into standardized formats. After that, we included our AI experts to verify and analyse the data. Through a workflow that combined AI (75%) and human expertise (25%), we delivered insights to our clients.
The result was that our findings on purchasing patterns, customer behaviors, and product trends helped our client implement better business plans.
Case Study 2
A clothing brand operating in Australia was facing the challenge of organizing its data in simple formats. We supported the brand by adopting an AI cum human powered data visualization workflow for them.
Once the project began, we used AI for data extraction, classification, and analysis, and included a data analyst to verify the findings and present them clearly. With AI (65%) and human expertise (35%), we delivered interactive and simple reports for our clients.
The result was that it helped the company monitor business performance and make necessary improvements in their business.
Data Analytics Services Frequently Asked Questions
01
Data analytics is the process of collecting, organizing, and analyzing data to identify trends, patterns, and other useful insights. With our customized data analysis services, businesses can understand market demands, identify opportunities, and make data-driven decisions. As we incorporate the potential of AI and human expertise in our data analysis, you can receive solutions that will address your business needs.
02
Data processing focuses on collecting, cleaning, and structuring data. Data analysis moves further by analyzing the organized data to understand the underlying patterns, trends, and other hidden insights.
AI supports both data processing and data analysis, and businesses can choose what they need by reviewing their requirements.
03
We include encrypted protocols, double–verification methods, and access controls to safeguard client data from unauthorized access. In addition, we follow the standards of ISO/IEC 27001:2022, HIPAA, and GDPR as part of our data protection.
04
We usually provide deliverables in formats like Excel, PDF, PowerPoint, Word, and dashboards. However, upon request, we provide deliverables in the format the client prefers. Businesses looking to outsource data analytics to India, can pick our services for receiving deliverables in the format they require.
05
Yes, if the data you deliver needs cleaning, we do so and inform our client. Our data cleaning includes removing duplicates, inconsistencies, managing missing values, and standardizing all data. Once the data is cleaned, we transfer it securely for data analysis.