SOLUTION · ANALYTICS

Microsoft Power BI

We visualize KPIs and exception/risk signals so people and AI Agents can judge from the same data.
Since 2019, we've implemented Power BI across a wide range of industries — public sector, manufacturing, distribution, gaming, and finance. Today's Power BI has evolved beyond a visualization tool into the analytics layer on top of the Fabric data platform.

Over the past two years, Power BI has changed at a structural level. Reviewing it based on past experience will lead you astray.

NOW

Evolved into the analytics layer on Microsoft Fabric

PERFORMANCE

Direct Lake — large-scale queries without refresh

ADOPTION

Power user development determines implementation success

WHAT CHANGED

Over the Past Two Years, Power BI Has Changed at a Structural Level

Reviewing it based on old materials or past experience will lead you astray. Here are four changes you must check before adopting it.

Axis

~2024 at the time

2026 now

Platform Position

Power BI was adopted as a standalone service, with the data warehouse built separately.

It runs as the analytics layer on Microsoft Fabric. It shares a common storage layer called OneLake, and capacity is managed in F-SKU units.

Storage Mode

You had to choose between Import (fast, but needs refreshing) and DirectQuery (real-time, but slower).

Direct Lake has been added. It queries OneLake's Parquet files directly, delivering near-Import performance without the refresh burden.

Model Status

It was called a Dataset, and creating a warehouse automatically generated a default dataset.

It has become the Semantic Model, and automatic generation has been discontinued. The direction now is to treat it as a deliberately designed asset.

How AI Is Used

The Q&A visual and natural-language queries were the flagship AI features.

The Q&A feature set is scheduled for retirement in December 2026, replaced by Copilot. You ask in conversation, without opening a report.

STORAGE MODES

Your Choice of Storage Mode Determines Performance and Cost

The three modes aren't ranked by superiority — the right choice depends on data volume, freshness requirements, and source environment. Deciding this at the design stage matters most.

Category	Import	DirectQuery	Direct Lake
How It Works	Copies data into the model and queries it in memory	Queries the source system directly at query time	Reads OneLake's Delta Parquet files directly
Query Performance	Fastest	Depends on source performance; degrades at scale	Performance close to Import
Data Freshness	Depends on refresh schedule	Real-time	Source updates reflected instantly
Refresh Overhead	Yes — larger volumes require refresh window management	None	None
Best For	Small-to-medium data, scheduled reporting	When real-time is essential and data is small	Large-scale data, Fabric-based data platform operations
Prerequisites	Few constraints	Must account for source system load	Requires Fabric capacity and OneLake data structure

SELF-SERVICE BI

From IT-Built Reports to Reports Business Users Build Themselves

Power BI's core value remains self-service. The goal of implementation is to break the cycle of requesting IT and waiting every time requirements change.

IT SPECIALISTS

Foundation and Governance

Responsible for data mart design, managing certified semantic models, and establishing permission and security policies. Freed from producing repetitive reports.

POWER USERS · CORE

Reports Business Users Build Themselves

Business users who know the work define metrics and modify or extend reports. Power user development determines implementation success.

ALL USERS

Viewing and Decision-Making

Check the metrics you need on PC, mobile, or Teams. View data within your workflow, without opening a separate tool.

What we focus on most in implementation — Not delivering a report, but leaving power users behind inside the client organization. We work together from storyboard design and metric definition through to training.

COPILOT IN POWER BI

Analysis by Conversation — With Conditions

You ask questions like "Which regions saw declining sales versus last quarter?" without opening a report. But it isn't a feature you can simply switch on.

REQUIREMENT 01

Capacity Requirement

Requires Fabric F64 or higher capacity, or a Premium Per User (PPU) license.

REQUIREMENT 02

Tenant Settings

A tenant administrator must enable the Copilot feature in the admin portal before users can access it.

REQUIREMENT 03

Security Settings

In regulated environments, row-level security (RLS) must be configured before enabling Copilot.

Answer quality is determined not by the model, but by the semantic model. If field names and descriptions, synonyms, and table relationships aren't organized, Copilot will produce off-target answers. That's why, before enabling Copilot, we first propose preparing the semantic model into a state AI can understand — this is the key to the right implementation sequence.

WITH DYNAMICS 365

Consultants Who Know ERP Design Your Metrics

This is what sets us apart from firms that only handle BI tools. When people who understand inventory, cost, receipts/issues, and closing structures define the metrics, reports actually get used for real business decisions.

EMBEDDED

See It Right Inside the ERP Screen

Role-based Power BI reports are embedded directly into D365 F&O workspaces. Users check the status right in their work screen, without switching to a separate tool.

INTEGRATED

Company-Wide Data, One View

The Dataverse connector integrates ERP data, and Azure Synapse Link is used to view performance by customer, product, and supplier — all on a single screen.

FOR AGENTS

One Set of Metrics for People and AI

A well-prepared semantic model serves as both a dashboard for people and the basis for AI Agent judgment — sharing exception and risk signals on the same standard.

PROVEN CASES

Implementation Experience Across Every Industry

From public sector to manufacturing, distribution, gaming, telecom, and finance — we've implemented BI in environments with very different data characteristics.

Daeduck Electronics · Semiconductor PackagingSELF-SERVICE BI

Trained 250+ Power Users

To overcome the speed and adaptability limits of their existing BI tool, they chose to develop power users. We consulted on the full scope of storyboard production and metric design.

Result — Company-wide report automation underway; reduced Excel/PPT work boosted reporting productivity

Shinwon Corporation · Fashion Retail & ManufacturingSELF-SERVICE BI

Unifying Legacy Data and Excel Into One System

They had been manually processing Oracle-based legacy data along with a constant stream of unstructured Excel files to produce executive reports. We built a data mart and provided ongoing power user training.

Result — Report automation boosted productivity, and the organization gained a system that responds instantly to business change

Kakao Games · GamingDATA MART

Per-Game Profitability and Cash Flow Forecasting

We standardized and designed the legacy data and built a data mart to implement management reports covering per-game profitability analysis and estimates, and cash flow forecasting.

Result — Resolved productivity losses and data reliability issues caused by manual work

Ferrero Korea · Confectionery & DistributionFORECAST

Nationwide Channel POS Integration and Demand Forecasting

Sales and inventory by business unit and distribution channel were aggregated manually in Excel for weekly global reports. We integrated tens of millions of aggregated data points across channels, marts, and convenience stores, and implemented demand forecasting as well.

Result — Eliminated manual aggregation and improved data reliability

LG U+ · Telecom & RetailTABULAR MODELING

Nationwide Store Performance Management Dashboard

We applied in-memory-based Tabular modeling to manage store-level P&L and dealer incentive metrics. Power users were enabled to directly update and deploy the frequently changing incentive policies.

Result — Established an analysis framework by trade area, branch, item, age group, and time of day

LS Automotive · Automotive PartsERP-INTEGRATED BI

Inventory Reduction and Cost Analysis

We connected ERP with Power BI to track all inventory in real time and analyze lead times, running inventory, logistics, and accounting consulting together from a BI perspective.

Result — Reduced obsolete inventory · higher inventory turnover · improved cash flow

OUR CAPABILITIES

Beyond Report Production — We Design the Data Foundation

Metric & Storyboard Design

We start from the screen executives want to see and work backward to define the data and processes needed.

Data Mart & Modeling

Data standardization and semantic model design, including Tabular modeling and DAX optimization.

Fabric & Cloud Integration

We design OneLake data structures, apply Direct Lake, and extend data through Synapse Link.

Power User Training

Hands-on training using the client's actual data enables internal staff to extend the system themselves.

We check before implementation — Sometimes the data or processes needed to build the report executives want simply don't exist yet. In that case, we propose improving the ERP process first, before BI development. This is possible because we're a company that has built ERP systems.

Solutions Worth Exploring Together

SOLUTION · CLOUD ERP

Dynamics 365 F&O

A cloud ERP that integrates finance, SCM, production, and projects — the core platform that serves as the execution foundation for Agentic AI.

Learn More

SOLUTION · AI AGENT

Copilot Studio

Design task-oriented agents in natural language and deploy them to Teams and web channels. Connects directly to ERP via MCP.

Learn More

SOLUTION · AUTOMATION

Power Automate

Automate approvals, notifications, repetitive tasks, and system integration to connect AI's judgment to actual business workflows.

Learn More

SOLUTION · LOW-CODE APP

Power Apps

Quickly build field-focused business apps with low-code and extend them to mobile and portals.

Learn More

Need training? — Check out the standard, advanced, and expert three-tier program and actual curriculum at Power BI Training.

Which Metrics Should We Make Visible First?

We'll jointly assess the screen executives want to see and your current data state to define the implementation scope.

Request a Consultation