Our Data Lifecycle Process
DataOrb solutions provide tools, resources and applications to compose, collect, store, process, analyze, visualize, share, interprete and archive data for Healthcare Service Providers.
1. Data Composition
Data composition stage involves preparation of metadata packages using tools and apps for data collection.
Metadata Packages
We create on-demand and open source metadata packages for data preparation and collection.
Integrations
We will integrate with existing tools and cloud solutions for metadata packages development.
Multiple Format
You can prepare and import metadata packages in different format including CSV, JSON and others.
Tools & Resources
We sponsor and develop applications and tools for metadata packages design and dataset import.
2. Data Collection
Data collection involves integration of data entry, data capture, data pipeline, USSD, SMS, Voice and IoT solutions.
Data Entry Solutions
Enter paperless aggregate/tracker data offline/online with our open-source web and mobile apps.
Data Capture/IoT Solutions
We provided innovative solutions, barcode scanners, handheld devices, wireless technologies for data capture.
Data Pipeline Solutions
Automate data integration from multiple sources using DataOrb Pipeline connectors with zero maintenance.
Mobile Solutions
Enter Data with USSD, SMS and Voice using
open-source/on-demand mobile solutions.
3. Data Storage
Store and backup all types of data across the data lifecycle stages using local, VPC and cloud solutions.
Data Lake Solutions
Integrate Local/Cloud data lake centralized repository for structured, semistructured and unstructured data.
Data Mart Solutions
Integrate data mart solutions to improve team efficiency, reduce costs and facilitate smarter tactical business decision-making.
Data Warehouse Solutions
Integrate Local/Cloud high-performance and flexible data warehouse solutions for ad hoc analysis as well custom reporting.
Data Backup Solutions
Integrate Local/Cloud full, incremental, differential or mirror backup solutions to restore data after loss.
4. Data Processing
Transform raw data through scrubbing, cleaning, compression, encryption, wrangling, mining, subsetting, derivation, etc into meaningful output and machine-readable form.
Batch Processing
Local/Cloud solutions for automating and processing multiple aggregate data jobs as a single group.
Real-time Processing
We integrate real-time data processing solutions for computer control systems such as alarm, warning, etc.
Online Processing
We develop and integrate interactive online data processing solutions for booking, ecommerce, financial transaction etc.
Tools & Resources
We develop and integrate web and mobile applications for use in batch, online and real-time data processing.
5. Data Analysis
Get the most value from your data, deliver trusted insights and extend planning and analysis through data-driven decision making.
Business Intelligence
Analyze customer behavior, optimize marketing campaigns, predict demand, identify fraud, etc with descriptive analytics.
Big Data Analysis
Use big data analysis to solve industry challenges in health, banking, education, insurance, retail, government, entertainment, marketing, etc.
Integrated Techniques
We develop tools to integrate statistical analysis, ML algorithms, predictive modeling, AI etc.
Data Analysis Tools
We develop tools to structure your data for compatibility with data analysis tools & platforms.
6. Data Visualization
Use Charts, Graphs, Pivot Tables and Maps visual tools to combine data, visuals, and narratives to tell impactful stories and make data-driven decisions.
Pivot Tables
We provide Pivot Tables for calculating, summarizing, and analyzing data to see comparisons, patterns, trends, etc.
Charts & Graphs
Select from the arrays of charts and graphs such as Line, Pie, Bar, Dots, Scatter Plots, bar graphs, etc.
Interactive Maps
Use DataOrb Interactive maps or integrate your custom maps to showcase your data and engage with your audience.
Visual Tools Integration
DataOrb integrate with leading visualization tools. Bring your tool and we'll connect you to the Orb!
7. Data Sharing
Make data accessible to a defined group of other stakeholders with certain controls and restrictions on use.
Public Sharing
Use our in-built tool to share access to public data including metadata, table, charts, maps to improve public services.
Internal Sharing
Share internal data with users and groups to grant access, deliver improved service and simplify processes.
External Sharing
Share data securely with people outside of your organization. Build a data portal for your partners or customers.
Data Sharing Tools
We develop in-built data sharing system for Data commons, Data collaboratives and Data marketplaces based on owners settings.
8. Data Interpretation
Improve data identification, discover hidden correlations between datasets, find data outliers, and even help forecast trends.
Qualitative Interpretation
Analyze categorical data such as interviews, observations, documentation and questionnaires through a contextual lens.
Quantitative Interpretation
Analyze numerical data such as mean, standard deviation and frequency distribution through a statistical lens.
In-Built Interpretation
DataOrb comes with in-built application for interpretation of Visualization, Chart, Table and Map.
Custom Interpretation Tool
We integrate open-source and on-demand qualitative and quantitative data interpretation tools.
9. Data Archiving
A data archival solution can archive those less used data and save you paying additional storage costs.
Compliance Archive
Archive compliance record or risk management data, such as emails, texts, files, business records, and other content.
Analytics Archive
We offer a structured data analytics archiving solution by significantly reducing your data storage costs.
Historical Archive
Archiving historical data will ensure you get the optimal performance and keep core operations also running smoothly
Data Archive Tools
We develop tools to move data from immediately accessible storage to low-cost, long-term storage repositories.
