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Banking & Financial Services Sector

Power BI / Tableau for Analysts & Business Teams for the Banking & Financial Services Sector

Indonesian banks face dual pressure: decision speed and auditability. POJK 11/POJK.03/2022 places IT and data management within risk management. Good Power BI/Tableau dashboards give leadership visibility into digital channels, branch performance, fraud/AML indicators, and compliance, with certified datasets so metrics stay consistent across divisions.

format
In-house / online / hybrid
duration
3–5 intensive days or 2–3 month phased program
participants
10–25 per cohort
language
Indonesian / English
Banking & Financial Services Sector Focus

Why Power BI / Tableau for Analysts & Business Teams is different in Banking & Financial Services

Indonesian banks face dual pressure: decision speed and auditability. POJK 11/POJK.03/2022 places IT and data management within risk management. Good Power BI/Tableau dashboards give leadership visibility into digital channels, branch performance, fraud/AML indicators, and compliance, with certified datasets so metrics stay consistent across divisions.

Sector KPIs
  • Key dashboard coverage with certified dataset
    Nearly all leadership dashboards
  • Cross-division metric consistency
    Zero discrepancy on strategic KPIs
  • OJK examination findings on BI data governance
    No material findings in the next period
Relevant regulations & standards
  • POJK 11/POJK.03/2022 Commercial Bank IT Risk Management
  • UU PDP No. 27/2022 customer data & sensitivity label
  • POJK on AML/CFT PPATK reporting
  • Microsoft PL-300 Power BI Data Analyst
  • Tableau Desktop Specialist + Certified Data Analyst
  • Kimball Group dimensional modeling industry reference
Target roles in Banking & Financial Services
  • Bank Head of BI / Data Analytics
  • Head of Channel Performance
  • Head of Fraud Analytics
  • Head of Compliance / AML
  • Senior Data Analyst
  • CFO / Head of FP&A
Outcomes commonly requested in Banking & Financial Services
  • Bank analyst teams deliver digital channel dashboards used by the board
  • Certified dataset becomes single source of truth for key metrics
  • RLS / OLS applied so sensitive data only visible to authorized roles
  • Refresh & access audit trail available for OJK / SKAI examination
  • UU PDP-aligned sensitivity labels for customer data applied in workspaces
Banking & Financial Services-specific questions
Can the training prepare the team for PL-300 or Tableau Desktop Specialist?
Yes. Material is aligned with official certification blueprints: Microsoft PL-300 (Power BI Data Analyst Associate) and Tableau Desktop Specialist. Our primary focus is enterprise application; participants pursuing certification get strong foundation plus additional learning paths.
How do dashboards handle sensitive customer data per UU PDP?
The module teaches data classification, sensitivity labels, RLS/OLS, workspace audit log, and certified datasets so sensitive data doesn't spread uncontrolled. Aligned with UU PDP minimization principles.
How does the module address dashboards for fraud / AML?
A dedicated module covers oversight dashboard patterns: actionable alert thresholds, drill-down to transactions, integration to PPATK reporting channels, and audit trail compliance.

Quick Answer

Corporate Power BI / Tableau training for analysts is an in-house program equipping data analysts, business analysts, and business units to build dashboards leaders use — from Kimball star schema, DAX/M & VizQL, Stephen Few visualization principles, to Cole Nussbaumer Knaflic storytelling, with Microsoft PL-300 and Tableau Desktop Specialist certification paths.

Guided by industry-recognized visualization practice

The material follows Stephen Few (Now You See It, Information Dashboard Design), Edward Tufte (data-ink ratio, small multiples), and Cole Nussbaumer Knaflic (Storytelling with Data) — sources the global BI community references. Official Microsoft PL-300 and Tableau Desktop Specialist certifications become the competency roadmap.

Without modeling, dashboards end up fragile and slow

Pulling raw data into visuals without Kimball star schema modeling produces slow dashboards that break when sources change. Upfront modeling investment is a foundation that pays back many times — performance, formula simplicity, and cross-team governance.

Dashboards used = dashboards that answer

Dashboards full of charts but failing to answer leadership's main question end up saved and ignored. Storytelling with Data (Cole Knaflic) teaches audience analysis + narrative arc + decluttering so dashboards answer directly in the first 5 seconds and become the basis for decisions.

Power BI / Tableau for Analysts

Corporate Power BI / Tableau training for analysts is an in-house program that equips data analysts, business analysts, and business units to build dashboards leaders use to decide — from data model (Kimball star schema), query modeling (Power Query M / Tableau Data Source), formula language (DAX / VizQL), visualization principles (Stephen Few), to storytelling (Cole Nussbaumer Knaflic), with official certification paths Microsoft Power BI Data Analyst (PL-300) and Tableau Desktop Specialist / Certified Data Analyst.

1Designed via training needs analysis (TNA): roles (data analyst, business analyst, finance, operations), tooling, and priority business cases
2Data modeling grounded in Kimball star schema (fact + dimension) — the foundation of every sustainable dashboard
3DAX (Power BI) & VizQL/calculated field (Tableau) taught from evaluation context concepts beyond paste-recipes
4Stephen Few visualization principles (Now You See It, Information Dashboard Design) and Edward Tufte as graphical foundation
5Storytelling with Data (Cole Nussbaumer Knaflic) — narrative arc, decluttering, audience-first
6Aligned with official certification paths: Microsoft PL-300 (Power BI Data Analyst), Tableau Desktop Specialist + Tableau Certified Data Analyst

Measurable Outcomes

Expected Outcomes

Indicators mapped to Kirkpatrick levels and official certification competencies — qualitative targets, set during TNA against your team baseline.

Tooling fundamentals mastery (Kirkpatrick L2 — Learning)
Most participants pass Power Query M / Tableau Data Source, data model (star schema), and basic formula (DAX / calculated field) assessment
Healthy data modeling (L3 — Behavior)
Team builds a star schema model for one real internal business domain, with documented relationships
Dashboards used by leadership (L3 — Behavior)
Team delivers at least 1 dashboard adopted by leadership & becomes single source of truth for key metrics
Storytelling & visual design
Participants apply Stephen Few + Cole Knaflic principles: chart selection by data type, decluttering, narrative arc
Vendor certification readiness
Participants pursuing certification map competencies to PL-300 (Power BI) or Tableau Desktop Specialist and can take the exam per individual readiness
Dashboard data governance
Structured workspace/site with role-based access, certified datasets, and documented refresh cadence

Program Format

Program Format Options

Chosen by target tooling (Power BI / Tableau / both) and team baseline — finalized after TNA.

1

Power BI / Tableau Bootcamp for Analysts (3–5 days)

Intensive bootcamp: data connection, Power Query M / Tableau Data Source, star schema modeling, DAX/calculated field, visualization & storytelling. Hands-on with real datasets.

Best for: Analyst & business teams starting or deepening fundamentals
2

Production-Grade Dashboard Workshop

Consultative workshop: team brings one priority dashboard case, facilitator guides from requirement → model → visual → storytelling → leadership adoption.

Best for: Teams wanting to elevate one key dashboard to leadership level
3

Data Modeling & Governance Workshop

Consultative session: cross-domain star schema modeling, naming convention, certified dataset, RLS/object-level security, and refresh cadence.

Best for: Multi-team analyst organizations wanting single source of truth
4

Recurring Analyst Enablement

Recurring program (monthly/quarterly): dashboard peer review, DAX/VizQL office hours, storytelling sessions, and quality audit cadence.

Best for: Large organizations with many analysts needing internal community

Free Consultation

Discuss your analyst team's BI plan

Start with a free training needs analysis: we map tooling (Power BI / Tableau), roles, team baseline, and priority business cases, then build a proposal and budget based on real needs.

Curriculum

Curriculum Framework

Designed via ADDIE; final modules curated by tooling (Power BI / Tableau / both), role, and TNA baseline.

Comparison

Choosing the Format & Tooling

Concise decision matrix — final recommendation set after training needs analysis.

AspectPower BI / Tableau BootcampProduction-Grade Dashboard WorkshopData Modeling & GovernanceRecurring Analyst Enablement
Primary goalTooling fundamentals masteryOne leadership-ready dashboardSingle source of truthLiving analyst community
Ideal participantsNew/deepening analysts & businessTeams with priority caseBI lead + multi-team analystsLarge organizations with many analysts
Typical duration3–5 intensive days2–3 day workshop1–2 week consultingMonthly / quarterly
Main outputFundamentals mastery + labsLeadership-adopted dashboardStar schema + governancePeer review + standards
Related certificationPL-300 / Tableau Desktop Specialist foundationPL-300 / TDA applicationData Analyst Associate supportingMature practitioner

For Whom

Who This Program Is For

Designed by role because Power BI / Tableau usage differs for data analyst vs business analyst vs finance.

Data Analyst

Teams producing dashboards & analytics for many business users.

Common challenges

  • Data models unstructured; every dashboard repeats the same transformations
  • DAX/VizQL learned from recipes without concept — hard to debug wrong formulas
  • Dashboards full of charts but don't answer leadership's main question

Business Analyst / Business Unit

Users building self-service dashboards for their own teams.

Common challenges

  • Uncomfortable with data modeling; pull raw data into visuals and get confused
  • No consistent visualization language — charts chosen arbitrarily
  • Hard to share & maintain dashboards used by many people

Finance / Controlling Analyst

Teams producing financial reports & FP&A.

Common challenges

  • Excel-based; hard to scale; prone to formula errors
  • Not using time intelligence (YoY, YTD, rolling) consistently
  • Periodic reports manual; no self-service for leadership

Operations / Process Analyst

Teams monitoring operational metrics (production, service, fulfillment).

Common challenges

  • Data scattered across many sources without integration
  • Operational dashboards often lag; not real-time when needed
  • No actionable alerts or thresholds

BI Lead / Data Lead

Owner of BI governance and metric consistency accountability.

Common challenges

  • No certified dataset; metrics differ across teams
  • BI adoption stalls at analysts; leadership still requests ad-hoc reports
  • No dashboard quality audit cadence

Industry Context

Industry Applications

One specific use case per industry, naming relevant metrics, regulations, and dashboard patterns.

Banking & Financial Services

Digital channel performance & fraud/AML monitoring dashboard in Power BI / Tableau for bank leadership, with certified datasets, RLS per branch/segment, and audit trail defensible to OJK (POJK 11/POJK.03/2022 IT risk management).

Manufacturing

OEE, quality, downtime, and supply-chain dashboards for plants & corporate manufacturing — combining PLC/SCADA, MES, and ERP data into certified datasets used by operations & management.

See in Manufacturing context →
Technology & Startups

Self-service analytics for product, marketing, and growth teams — with certified datasets, consistent product metric taxonomy, and dashboards that become single source of truth for executive meetings.

See in Technology & Startups context →
State-Owned Enterprises (BUMN)

BI standardization across BUMN holding subsidiaries — holding certified dataset, consolidation metric taxonomy, and board dashboards defensible to AGM & BPK.

See in State-Owned Enterprises (BUMN) context →
Retail & FMCG

Sales, inventory, loyalty, and e-commerce dashboards for modern retail — combining POS, ERP, marketplace, and loyalty platforms into certified datasets used by daily merchandising, marketing, and operations.

See in Retail & FMCG context →
Government & Public Sector

SPBE performance, digital public service, and budget transparency dashboards for central & regional government agencies — with role-based access, UU PDP compliance, and SPBE Index readiness.

See in Government & Public Sector context →

Delivery Method

Delivery

Format adapts to your analyst team distribution; all formats hands-on with practice datasets + your internal dataset.

On-site intensive & workshop

Facilitator comes to your office for a 3–5 day bootcamp; labs in Power BI Desktop / Tableau Desktop, with internal dataset as case study (NDA applies).

Live online + managed labs

Interactive classes via Zoom/Teams; labs in local Power BI / Tableau Desktop + access to workspace/site provided by Neksus.

Hybrid

On-site for intensive modules (storytelling, production-grade dashboard), online for concept & lab modules — suits multi-location teams.

Scheduling fits reporting & management meeting calendar
Materials & labs localized to target tooling (Power BI / Tableau / both)
Practice datasets provided; option to use non-sensitive internal datasets
Participation certificate + position map against PL-300 / Tableau Desktop Specialist
Evaluation report & prioritized recommendations for BI / data leadership

Engagement Flow

Engagement Path

Follows ADDIE + Kimball lifecycle for dashboard development — qualitative durations, scaled to baseline.

1

Training Needs Analysis & Baseline

Mapping target tooling (Power BI / Tableau / both), roles, team baseline, internal dataset to use as case study, and priority business cases.

Initial stage
2

Program Design by Role (ADDIE)

Drafting measurable learning objectives, role-based syllabi (data analyst, business analyst, finance, operations), lab scenarios, and framework map to PL-300 / Tableau Desktop Specialist.

Pre-delivery
3

Power BI / Tableau Bootcamp

Core 3–5 day session: data connection, Power Query M / Tableau Prep, star schema modeling, DAX/calculated field, visualization & storytelling. Hands-on with practice datasets.

Core week
4

Production-Grade Dashboard Workshop

Team brings one priority dashboard case; facilitator guides from requirement → model → visual → storytelling → leadership adoption.

Post-bootcamp
5

Data Modeling & Governance Roll-out

Consultative session: cross-domain star schema modeling, naming convention, certified dataset, RLS/OLS, sensitivity label, and refresh cadence.

Rolling per domain
6

Analyst Enablement & Recurring Evaluation

Monthly/quarterly cadence: dashboard peer review, office hours, storytelling sessions, Kirkpatrick L1–L4 evaluation (Phillips L5 on request), quality audit.

Recurring & continuous

Case Studies

Typical Outcome Patterns

Illustrative patterns based on similar program structures — no named clients or promised numbers. Vendor certifications (PL-300, Tableau Desktop Specialist), Stephen Few principles, and Cole Knaflic storytelling are attributed as external sources (Microsoft Learn, Tableau, Stephen Few, Cole Nussbaumer Knaflic).

Financial institution with many channel & risk dashboards

Intervention

Bootcamp + production-grade dashboard workshop + certified dataset + RLS

Result

Board dashboards flow consistently from certified dataset; management meetings discuss single numbers

Manufacturer with many plants

Intervention

Daily OEE dashboard workshop + PLC/MES/ERP integration + storytelling

Result

Plant manager uses dashboard as shift review basis; operations meetings accelerate decisions

Government agency running SPBE

Intervention

Bootcamp + public service dashboard workshop + governance & sensitivity label

Result

Work unit leadership uses public service performance dashboards; evidence available for SPBE Index

Procurement Info

Information for Procurement & Vendor Management

What procurement, finance, and BI / data units need.

Legal entity

Indonesian PT under the Selestia ecosystem (Eduprima group); complete NPWP & legal documents; ready for PKS/contracts and vendor onboarding.

Proposal

Structured proposal: measurable learning objectives, role-based syllabus, framework map (Kimball dimensional modeling / Microsoft PL-300 / Tableau Desktop Specialist / Stephen Few / Cole Knaflic / UU PDP), facilitator profile, schedule, and TNA-based cost detail.

Pricing model

TNA-based — flat per program, per session, per participant, tiered, or custom. Estimate issued after TNA is agreed.

Payment & tax

Flexible terms (DP + balance / per-batch installments); tax invoice (PPN) and PO documentation supported.

BUMN/government procurement

Familiar with BUMN/government procurement: vendor documentation, e-procurement / SPSE, HPS/offers, and compliance clauses.

Measurement

Kirkpatrick L1–L3 evaluation reports (attendance, knowledge assessment, behavior — dashboards built & adopted); Phillips ROI L5 on finance/risk request.

Confidentiality & data security

NDA signing, confidentiality of internal datasets used as case studies, and practices aligned with UU PDP and your internal security policy.

Material ownership

Dashboards, data models, and documents built for your company are yours; usage rights of training materials are agreed in the contract.

FAQ

Frequently Asked Questions

Next Step

Discuss your analyst team's BI plan

Start with a free training needs analysis: we map tooling (Power BI / Tableau), roles, team baseline, and priority business cases, then build a proposal and budget based on real needs.

  • Training needs analysis at no cost — the natural first step
  • Proposal, role-based syllabus, and framework map (Kimball / PL-300 / Tableau / Stephen Few / Cole Knaflic) within a few business days
  • Labs with practice datasets; option to use non-sensitive internal datasets
  • Procurement-ready documents (company profile, NPWP, NDA, PPN tax invoice)

Power BI / Tableau for Analysts & Business Teams training for your Banking & Financial Services team

Start with a free training needs analysis: we map tooling (Power BI / Tableau), roles, team baseline, and priority business cases, then build a proposal and budget based on real needs.

  • Training needs analysis at no cost — the natural first step
  • Proposal, role-based syllabus, and framework map (Kimball / PL-300 / Tableau / Stephen Few / Cole Knaflic) within a few business days
  • Labs with practice datasets; option to use non-sensitive internal datasets
  • Procurement-ready documents (company profile, NPWP, NDA, PPN tax invoice)
PIC Contact (HR / L&D / Procurement)
Company
Training Need