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13 results in Data & AI
Showing 12 of 13 articles
- Blogdata & ai
Choosing KPIs that drive action
A good KPI is linked to a decision, owned by someone, measured consistently and reviewed often enough to matter.
By Micah Ondiwa 1 min
Read more - Blogdata & ai
Monitoring field data collection quality in real time
Daily checks on completeness, timing, location and consistency catch problems while teams are still in the field.
By Micah Ondiwa 1 min
Read more - Guidedata & ai
Designing a survey that produces analysable data
Clear objectives, well-formed questions, a sound sample and a pilot run turn survey responses into evidence you can analyse.
By Inara Crest Engineering 1 min
Read the guide - Blogdata & ai
Retrieval-augmented generation: grounding AI answers in your documents
RAG lets an AI assistant answer from your policies, manuals and records — with sources — instead of from general knowledge.
By Micah Ondiwa 1 min
Read more - Blogdata & ai
Data quality: the unglamorous step that makes analytics work
Duplicates, inconsistent codes and missing values quietly undermine reports and models. A few habits keep data fit for use.
By Micah Ondiwa 1 min
Read more - Blogdata & ai
Building a BI dashboard people actually use
A dashboard earns its place when it answers specific questions for specific people. Start with the decisions, then choose the charts.
By Micah Ondiwa 1 min
Read more - Blogdata & ai
Using GIS and location data in analysis
Maps reveal patterns tables hide — service coverage, travel times, incident hotspots and where resources are needed.
By Micah Ondiwa 1 min
Read more - Blogdata & ai
Digitising research data collection in the field
Mobile forms, offline sync, quality checks and secure storage replace paper questionnaires and transcription errors.
By Micah Ondiwa 1 min
Read more - Blogdata & ai
Responsible AI: bias, privacy and accountability
AI systems can reproduce bias, expose personal data and blur responsibility. A few practices keep them fair and accountable.
By Micah Ondiwa 1 min
Read more - Blogdata & ai
Data warehouses vs operational databases
Operational systems run the business; a warehouse brings their data together for analysis without slowing them down.
By Micah Ondiwa 1 min
Read more - Blogdata & ai
Large language models in the enterprise: where they help
LLMs are strong at drafting, summarising, searching and classifying text. They need grounding, guardrails and human review.
By Micah Ondiwa 1 min
Read more - Guidedata & ai
Writing a data analysis plan
Decide questions, variables, methods and outputs before data arrives, and analysis becomes faster and more credible.
By Inara Crest Engineering 1 min
Read the guide
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