Data preparation
services
Turn raw, chaotic data into a structured, clean, and reliable asset.
Why choose DevicoAI
for data preparation services
High retention rate
96%
Our dedicated team ensures consistent support and expertise, significantly above the industry average of 80%.
Wide expert network
3000
Access to over 3000 engineers and AI experts.
Proven track record
500,000
Over 500,000 man-days successfully delivered.
Support
24/7
Highly experienced management team available around the clock.
Problems data preparation can solve
01
Unidentified and scattered data
Many organisations have no clear understanding of the data they possess, with valuable information scattered across disconnected silos.
Solution: DevicoAI’s data discovery process identifies, catalogues, and consolidates disparate data sources, bringing hidden assets into the light.
02
Inconsistent formats
Data often exists in multiple formats across systems, creating confusion and inefficiencies.
Solution: DevicoAI ensures consistent formatting across all data sources, creating a unified dataset ready for analysis.
03
Duplicate records
Redundant entries inflate storage needs and skew results, undermining decision-making accuracy.
Solution: We identify and remove duplicates, ensuring only the most accurate and relevant data remains.
04
Critical gaps in data
Missing key data points leave incomplete records, limiting the ability to generate reliable insights.
Solution: Our cleaning process identifies and fills these gaps, providing a complete and usable dataset.
05
Hidden errors
Raw data frequently contains inaccuracies that can compromise AI model performance.
Solution: Rigorous validation methods detect and correct errors, ensuring high-quality data for reliable outputs.
06
Lack of long-term data hygiene
Without proper maintenance, even cleaned data can deteriorate over time, reducing its utility.
Solution: DevicoAI designs and implements frameworks to sustain data hygiene, ensuring reliability well into the future.
Focus on innovation
Bullet-proof your data management strategy
Prepare your data for AI solutions in industries
Healthcare
Accenture predicts that AI applications could save the U.S. healthcare industry up to $150 billion annually by 2026.
For example, IBM Watson Health’s AI Orchestrator integrates AI applications to enhance medical imaging analysis, aiding in more accurate diagnostics.
Use cases:
- Disease detection and diagnostics
- Personalized treatment plans
- Predictive analytics for patient outcomes
Accenture predicts that AI applications could save the U.S. healthcare industry up to $150 billion annually by 2026.
For example, IBM Watson Health’s AI Orchestrator integrates AI applications to enhance medical imaging analysis, aiding in more accurate diagnostics.
Use cases:
- Disease detection and diagnostics
- Personalized treatment plans
- Predictive analytics for patient outcomes
Mastercard’s AI-driven fraud detection systems have doubled the speed of identifying potentially compromised cards, enhancing security and reducing financial losses.
Use cases:
- Fraud detection and prevention
- Real-time risk assessment
- Customer segmentation for personalized services
Amazon utilizes AI to personalize product recommendations and optimize inventory management, improving customer satisfaction and operational efficiency.
Use cases:
- Personalized product recommendations
- Demand forecasting for inventory management
- Targeted marketing strategies
General Electric’s Predix platform employs AI for predictive maintenance, helping to anticipate equipment failures and enhance operational efficiency.
Use cases:
- Predictive maintenance of machinery
- Production process optimization
- Supply chain management
DevicoAI process for data preparation
Source evaluation and data inventory
Begin by cataloguing all data sources, formats, and structures to create a comprehensive inventory. This helps identify key areas requiring immediate attention.
Inconsistency and error identification
Perform an in-depth analysis to locate inconsistencies, duplicates, inaccuracies, and gaps across datasets, creating a detailed action plan for cleaning.
Data standardisation
Apply uniform standards to formats, structures, and naming conventions, ensuring consistency across all data sources for seamless integration.
Error correction and deduplication
Address inaccuracies and remove duplicate records, creating a lean dataset that eliminates redundancies and inefficiencies.
Data gap resolution
Identify and fill missing data points using logical imputation techniques or by sourcing additional information to provide complete records.
Validation and benchmarking
Cross-check the cleaned dataset against external references or benchmarks, ensuring accuracy, completeness, and readiness for analysis.
Framework development for maintenance
Build processes and workflows for automated data quality checks, ensuring long-term cleanliness and usability of datasets.
Delivery and integration
Deliver the fully prepared dataset in formats compatible with AI models, analytics tools, and business intelligence systems, accompanied by clear documentation for seamless implementation.
Don't let poor data hinder your success
Ensure your data becomes a strategic asset, enabling
accurate AI models
Benefits of data preparation
Technologies we use
Microsoft Azure
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Azure machine learning: Comprehensive service for building and deploying machine learning models.
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Cognitive Services: Suite of pre-built AI services including vision, speech, language, and decision-making.
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Azure Bot Service: Platform for building and deploying chatbots.
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Azure OpenAI Service: Access to OpenAI's powerful language models.
Get in touch
Drop us a line about your project and we will contact you within a business day
Our locations
New York
521 Fifth Ave, NY 10175
+1 805 491 9331London
9 Brighton Terrace, SW9 8DJ
+44 1922 214429Warsaw
Towarowa 28, 00-847
info@devico.ioLviv
Uhorska str. 14, 79034
info@devico.ioQuestions & answers
Can I get a free data cleaning sample or trial?
Yes, we offer a free sample to showcase the quality and scope of our services.
Why should I choose DevicoAI for data cleaning over other companies?
We offer a comprehensive, technically rigorous approach that delivers structured, actionable data tailored to your business needs.
What factors influence the cost of your data cleaning services?
Costs depend on data complexity, volume, and the specific services required.
Do you offer bulk discounts for large datasets?
Yes, we provide discounts for large-scale projects. Contact us for more details.