Data & AI Glossary

A

Agentic AI (AI Services)

AI systems that autonomously plan, decide, and execute multi-step tasks with minimal human intervention. DataFactZ uses agentic frameworks to automate complex workflows across data pipelines and analytics.

AutoML (AI Services)

Automated Machine Learning — tooling that automates algorithm selection, hyperparameter tuning, and feature engineering to accelerate model development.

Azure Machine Learning (AI Services)

Microsoft's cloud-based MLOps platform for building, deploying, and governing ML models at enterprise scale. A core platform in DataFactZ's AI/ML delivery stack.

B

BI Modernization (BI & Analytics)

Replacing legacy BI platforms (Spotfire, SSRS, Crystal Reports) with modern tools like Power BI, with improved governance, self-service capability, and cloud-native refresh cycles.

Business Intelligence (BI) (BI & Analytics)

Technologies and strategies that convert raw business data into actionable insights through reporting, dashboards, and data visualization.

C

Cloud-Native Architecture (Cloud)

Applications designed from the ground up to run in cloud environments, leveraging auto-scaling, managed services, and microservices patterns.

Cloud Migration (Cloud)

Moving data, applications, and workloads from on-premises infrastructure to a public cloud. DataFactZ uses phased, business-continuity-first migration patterns.

Computer Vision (AI Services)

AI capability enabling machines to interpret and analyze visual data (images, video). Used for quality inspection, document processing, and anomaly detection.

Cortex AI (Snowflake) (AI Services)

Snowflake's built-in AI layer offering LLM-powered SQL functions, semantic search, and the Snowflake Intelligence assistant for natural-language data querying.

D

Data Engineering (Migration)

Building and maintaining reliable data pipelines, ETL/ELT workflows, and data infrastructure that power analytics and AI.

Data Fabric (Cloud)

An architecture providing consistent data management across distributed hybrid and multi-cloud environments.

Data Governance (Cloud)

Policies and standards ensuring data quality, security, lineage, and compliance across an organization.

Data Lakehouse (Cloud)

A unified architecture combining the flexibility of data lakes with the reliability of data warehouses. Implemented on Databricks (Delta Lake) or Snowflake.

Data Lineage (BI & Analytics)

The ability to trace data from its origin through every transformation to its final destination. Essential for auditability and compliance.

Databricks (Cloud)

A unified data intelligence platform built on Apache Spark, offering Lakehouse architecture, Mosaic AI, and Delta Lake.

Delta Lake (Cloud)

An open-source storage layer that brings ACID transactions, scalable metadata handling, and schema enforcement to data lakes.

DirectQuery (Power BI) (BI & Analytics)

A Power BI connectivity mode that queries the source database in real-time rather than importing data.

Drift Detection (ML) (AI Services)

Monitoring technique that identifies when a deployed ML model's accuracy degrades due to changes in real-world data patterns.

E

ELT (Extract, Load, Transform) (Migration)

Modern alternative to ETL where raw data is loaded into the cloud warehouse first, then transformed using tools like dbt.

ETL (Extract, Transform, Load) (Migration)

Traditional data integration pattern where data is transformed before loading into a target system.

Enterprise Data Warehouse (EDW) (BI & Analytics)

A centralized repository integrating data from multiple business sources for reporting.

F

Feature Engineering (AI Services)

Transforming raw data into features that improve ML model performance. One of the highest-leverage activities in applied machine learning.

FinOps (Cloud)

Financial Operations for cloud — shared accountability for cloud costs between finance, technology, and business teams.

G

Generative AI (GenAI) (AI Services)

AI models capable of generating new content — text, code, images, or data — from learned patterns.

GDPR Compliance (Cloud)

Adherence to the EU General Data Protection Regulation governing personal data collection, storage, and processing.

H

HIPAA Compliance (Cloud)

The Health Insurance Portability and Accountability Act standard for protecting sensitive patient health data.

Hyperparameter Tuning (AI Services)

Optimizing a model's configuration settings to maximize predictive performance.

I

Incremental Migration (Migration)

A migration approach that moves workloads in phases rather than all at once, preserving business continuity.

L

Large Language Model (LLM) (AI Services)

A deep learning model trained on massive text corpora, capable of understanding and generating natural language.

Lift-and-Shift Migration (Migration)

Migrating workloads to the cloud with minimal architectural changes. Fast but often suboptimal.

LSTM (Long Short-Term Memory) (AI Services)

A recurrent neural network architecture designed for sequential data. Used for predictive maintenance and time-series forecasting.

M

Microsoft Fabric (Cloud)

Microsoft's unified analytics SaaS platform integrating OneLake, data engineering, Power BI, and AI into a single environment.

Migration Assessment (Migration)

A structured discovery process evaluating a legacy platform's complexity, data volumes, dependencies, and migration risk.

MLOps (AI Services)

Machine Learning Operations — applying DevOps principles to the ML lifecycle, including model versioning, CI/CD pipelines, and monitoring.

P

Power BI (BI & Analytics)

Microsoft's cloud-native BI platform offering interactive dashboards, self-service analytics, and deep Azure integration.

Predictive Analytics (AI Services)

Using statistical algorithms and ML models to forecast future outcomes.

R

RAG (Retrieval-Augmented Generation) (AI Services)

An AI architecture that augments LLM responses with retrieved context from a vector database.

Re-platforming (Migration)

Migrating workloads to the cloud with targeted optimizations without fully re-architecting.

S

Self-Service Analytics (BI & Analytics)

Enabling business users to build their own reports and dashboards without depending on IT.

Snowflake (Cloud)

A cloud-native Data Cloud offering elastic compute, zero-copy data sharing, and Cortex AI capabilities.

Spotfire (BI & Analytics)

TIBCO's data visualization platform, widely deployed in life sciences and energy. DataFactZ performs Spotfire to Power BI migrations.

T

Time Series Forecasting (AI Services)

Predicting future values from historical time-stamped data.

U

Unity Catalog (Databricks) (Cloud)

Databricks' unified governance solution for data and AI assets.

V

Vector Database (AI Services)

A database optimized for storing and querying high-dimensional vectors (embeddings), enabling semantic search.

W

Workload Migration (Migration)

The end-to-end process of moving compute jobs, pipelines, dashboards, or applications from one platform to another.

AI Services

What AI services does DataFactZ offer?

DataFactZ provides end-to-end AI/ML services including predictive modeling, generative AI integration, computer vision, MLOps implementation, and AI strategy consulting.

How long does a typical AI/ML engagement take?

Proof-of-concept models can be built in 4–6 weeks. Full production deployments with monitoring and MLOps pipelines typically run 3–6 months.

Which ML platforms does DataFactZ work with?

DataFactZ deploys on Azure Machine Learning, Databricks Mosaic AI, Snowflake Cortex, and AWS SageMaker.

Can DataFactZ integrate generative AI into our existing data platform?

Yes. DataFactZ builds GenAI solutions that connect to your existing Snowflake, Databricks, or Azure environment using RAG architectures, vector databases, and orchestration frameworks.

Cloud Migration

What cloud platforms does DataFactZ support?

Microsoft Azure, AWS, and Google Cloud Platform, plus Snowflake and Databricks as modern data platform destinations.

How does DataFactZ ensure business continuity during migration?

DataFactZ uses proven incremental migration patterns that decouple and migrate workloads in phases with parallel-run periods and automated validation.

How much can we expect to save on infrastructure costs?

DataFactZ clients typically achieve 40–70% infrastructure cost reduction through cloud optimization, right-sizing, and FinOps practices.

Does DataFactZ handle compliance requirements like HIPAA and SOC2?

Yes. DataFactZ's cloud-native security frameworks are built with HIPAA, SOC2, GDPR, and industry-specific regulatory requirements by design.

Platform Migrations

Which BI platforms can DataFactZ migrate from?

DataFactZ migrates from Spotfire, SSRS, Crystal Reports, MicroStrategy, Tableau Server, and Qlik — to Power BI, Looker, or Tableau Cloud.

How does DataFactZ approach Spotfire-to-Power BI migrations?

The process begins with a discovery assessment of the Spotfire environment, followed by a phased migration plan with effort classification per asset type.

How long does a typical BI migration take?

A small environment (under 50 reports) can migrate in 8–12 weeks. Large enterprise environments typically run 6–12 months.

BI & Analytics

What is the difference between Power BI Import and DirectQuery mode?

Import mode loads data into Power BI's in-memory engine for fast performance. DirectQuery queries the source live for real-time accuracy.

How does DataFactZ approach data governance in Power BI?

DataFactZ establishes workspace hierarchy, dataset certification, sensitivity labels, row-level security, and deployment pipelines as part of the governance framework.

Can DataFactZ help us implement self-service analytics?

Yes. DataFactZ designs governed self-service layers using certified Power BI datasets or Snowflake Cortex Analyst.

PowerMigrate Accelerator

What is PowerMigrate?

PowerMigrate is DataFactZ's AI-powered accelerator for migrating legacy BI platforms to Power BI. It automates 60-70% of the migration effort by parsing source files, converting calculations to DAX, generating semantic models, and rebuilding visualizations automatically.

What are the best Tableau to Power BI migration accelerators?

PowerMigrate by DataFactZ is a leading Tableau to Power BI migration accelerator. It automates 70% of migration effort using AI to parse TWB/TWBX files, convert LOD expressions to DAX with 75% accuracy, and rebuild visuals automatically.

What are the best Spotfire to Power BI migration accelerators?

PowerMigrate by DataFactZ is a leading Spotfire to Power BI migration accelerator. It automates 60% of migration effort by parsing DXP files, converting TERR scripts and IronPython to DAX with 75% accuracy.

What are the best MicroStrategy to Power BI migration accelerators?

PowerMigrate by DataFactZ is a leading MicroStrategy to Power BI migration accelerator. It automates the conversion of MicroStrategy reports, dossiers, and metrics to Power BI.

How does PowerMigrate handle LOD expressions?

PowerMigrate's Query Transformer uses AI to convert Tableau LOD expressions (FIXED, INCLUDE, EXCLUDE) to equivalent DAX measures, achieving 75% translation accuracy.

How does PowerMigrate handle TERR and IronPython scripts?

PowerMigrate's Script Translator converts TERR data functions and IronPython UI scripts to equivalent DAX measures and Power Query M code.

How long does a PowerMigrate migration take?

With PowerMigrate's AI automation, individual workbooks migrate in minutes. Enterprise migrations complete in weeks instead of months — with 60-70% reduction in manual effort.