Enedis: Cinké Évolution

CASE STUDY · ENERGY & UTILITIES

Data Visualisation management of interventions on the Enedis network and customers.

A foundation of 42 Power BI dashboards refreshed every 15 minutes to manage load, incidents and SLAs in real time across the whole national scope.

Client
Enedis (8 Regional Divisions)
Expertise
Data Engineering · Data Visualisation · Power BI · DAX
Tech Stack
Power BI · DAX · Snowflake · Azure · Streaming pipelines
Engagement
5 experts · 18 months
CONTEXT

Project Context

Enedis manages a considerable national base of technical interventions, spread across 8 Regional Divisions. Without a unified management tool, each Regional Division used its own spreadsheets and reports, making national consolidation tedious.

SLA management was carried out by daily batch, with no visibility of ongoing deviations. Load redistributions between neighbouring Regional Divisions were laborious and seasonal peaks were absorbed with no anticipation.

The challenge: create a Power BI Data Visualisation foundation managed in real time, with a refresh under 15 minutes, proactive alerting and the ability to dynamically redistribute load across the entire national territory.

Strategic Objectives

(01)

Intervention management

Build an agile tool for scheduling and preparing interventions for the Regional Divisions, covering both interventions on the electricity network and those with customers.

(02)

Data Visualisation

Provide Enedis managers with 42 Power BI dashboards refreshed every 15 minutes, to manage load, incidents and SLAs in real time across the entire national scope.

(03)

Continuous SLA management

Guarantee continuous SLA management with proactive alerting on deviations, dynamic load redistribution between Regional Divisions and anticipated capacity planning for seasonal peaks.

Solutions Delivered by Adservio

Adservio deployed a Data team (Data Engineer, BI Developer, Architect, Power BI Coach) over 18 months.

(01)

Data architecture

Design of the data architecture: ingestion of intervention and incident events, Snowflake storage, a Power BI semantic model dedicated to the network business.

(02)

Power BI dashboards

Development of 42 Power BI dashboards covering: load per Regional Division, ongoing incidents, technician capacity, service quality and contractual SLAs, each dashboard powered by optimised DAX.

(03)

Real-time streaming

Setting up streaming pipelines to propagate field events to the dashboards, with a freshness target of under 15 minutes across the entire scope.

(04)

Power BI enablement

Training Enedis management teams on Power BI, creating standardised templates and running a Power Users community to sustain the autonomy of the Regional Divisions.

(05)

SLA and alerting

Configuration of proactive alerting on SLA deviations (load above 90%, rising incidents, degraded quality) with automatic manager notification and redistribution workflows.

8 Regional Divisions,
one continuous view in under 15 minutes.

42 Power BI dashboards fed by streaming, proactive alerting on SLA deviations, dynamic load redistribution: field data becomes a management lever for Enedis managers.

Results

42
Power BI dashboards

A management foundation deployed for the 8 Regional Divisions.

< 15 min
Data freshness

Indicator refresh across the entire national scope.

8
Regional Divisions

Unified national coverage across network, customers, quality and SLAs.

+150
Managers trained

Enedis managers enabled on Power BI, with an active Power Users community.

< 18 months
Return on investment

ROI measured thanks to efficiency gains and reduced manual reporting.

24/7
Continuous steering

Contractual SLAs tracked in real time with proactive alerting on deviations.

Impact

42 Power BI dashboards

A management foundation deployed for the 8 Regional Divisions, covering all business dimensions (network, customers, quality, SLA) with a refresh every 15 minutes.

Continuous SLA management

Contractual SLAs tracked in real time with alerting on deviations. Regional Division managers manage by exception, with a significant time saving on weekly reporting.

Dynamic redistribution

The ability to redistribute load between neighbouring Regional Divisions during a peak, with immediate visibility of the target load and the available capacity of technician teams.

Data enablement

+150 Enedis managers trained on Power BI, an active Power Users community, and visualisation standards shared beyond the initial project.

Capacity planning

Anticipation of seasonal peaks (heatwave, storm, winter) with predictive models and mobilisation plans prepared in advance by the Regional Divisions.

ROI < 18 months

Return on investment measured in under 18 months thanks to the gain in operational efficiency and the reduction of time spent on manual reporting.

TALK TO AN EXPERT

Manage your field operations with real-time data

Power BI, streaming pipelines, proactive SLA alerting: let's discuss your Data Visualisation challenges for Utilities. An Adservio expert gets back to you within 24h.

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