CPFL Energia
Location
Highway Engineer Miguel Noel Burnier Springs, Km 2.5 – São Quirino Park,
Campinas, 13088,
Brazil
Website
https://www.cpfl.com.br/
Phone
55 800 010 1010
Artw industry
Utilities
Employee
Revenue

CPFL Energia Technographics

CPFL Energia Software Purchases and Digital Transformation Initiatives

Discover the latest software purchases and digital transformation initiatives being undertaken by CPFL Energia and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 13008 CPFL Energia employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.

During our research, we have identified that CPFL Energia has purchased the following applications: Microsoft Power BI for Analytics and BI in 2019, Microsoft Azure Cloud Services for Application Hosting and Computing Services in 2015, Dynatrace Ruxit for Application Performance Management in 2018 and the related IT decision-makers and key stakeholders.

Our database provides customer insight and contextual information on which enterprise applications and software systems CPFL Energia is running and its propensity to invest more and deepen its relationship with Microsoft , IBM , Dynatrace or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.

We have been analyzing CPFL Energia revenues, which have grown to $8.10 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for CPFL Energia intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.

CPFL Energia Data, Technology Stack, and Enterprise Applications
Analytics and BI
Vendor
Old Product
New Product
Category
Market
VAR/SI
When
Live
Microsoft Legacy Microsoft Power BI Analytics and BI Analytics and BI n/a 2019 2019
Analytics and BI, Data Warehouse Analytics and BI 2019 2019
Data Warehouse Analytics and BI 2019 2019
Process Mining Analytics and BI 2019 2019
IaaS
Vendor
Old Product
New Product
Category
Market
VAR/SI
When
Live
Microsoft Legacy Microsoft Azure Cloud Services Application Hosting and Computing Services IaaS n/a 2015 2015
Application Hosting and Computing Services IaaS 2014 2014
Cloud Storage IaaS 2019 2019
Content Delivery Network IaaS 2019 2019
Content Delivery Network IaaS 2021 2021
Database Management IaaS 2016 2017
Digital Workspace IaaS 2017 2017
ITSM
Vendor
Old Product
New Product
Category
Market
VAR/SI
When
Live
Dynatrace Legacy Dynatrace Ruxit Application Performance Management ITSM n/a 2018 2018
Collaboration
Vendor
Old Product
New Product
Category
Market
VAR/SI
When
Live
Audio Video and Web Conferencing Collaboration 2018 2018
Audio Video and Web Conferencing Collaboration 2019 2019
Collaboration Collaboration 2015 2015
HCM
Vendor
Old Product
New Product
Category
Market
VAR/SI
When
Live
Contingent Labor Management HCM 2015 2015
Core HR HCM 2015 2015
Recruiting, Applicant Tracking System HCM 2012 2012
eCommerce
Vendor
Old Product
New Product
Category
Market
VAR/SI
When
Live
eCommerce eCommerce 2015 2015
ERP Services and Operations
Vendor
Old Product
New Product
Category
Market
VAR/SI
When
Live
Enterprise Asset Management ERP Services and Operations 2018 2018
Content Management
Vendor
Old Product
New Product
Category
Market
VAR/SI
When
Live
Enterprise Content Management Content Management 2017 2017
ERP Financial Management
Vendor
Old Product
New Product
Category
Market
VAR/SI
When
Live
ERP Financial ERP Financial Management 2016 2017
ERP Financial ERP Financial Management 2015 2015
ERP Financial ERP Financial Management 2011 2011
PaaS
Vendor
Old Product
New Product
Category
Market
VAR/SI
When
Live
Extract, Transform, and Load (ETL) PaaS 2019 2019
Transactional Email PaaS 2019 2019
AI Development
Vendor
Old Product
New Product
Category
Market
VAR/SI
When
Live
ML and Data Science Platforms AI Development 2019 2019
Procurement
Vendor
Old Product
New Product
Category
Market
VAR/SI
When
Live
Procurement Procurement 2015 2015
Sourcing Procurement 2018 2018
Supplier Relationship Management Procurement 2018 2018
CRM
Vendor
Old Product
New Product
Category
Market
VAR/SI
When
Live
Sales Automation CRM 2016 2016
Sales Automation, Sales Engagement CRM 2014 2014
IT Decision Makers and Key Stakeholders at CPFL Energia
First Name Last Name Title Function Department Email Phone
No data found
Show All Contacts
Apps Being Evaluated by CPFL Energia Executives
Date Company Status Vendor Product Category Market
No data found
FAQ - APPS RUN THE WORLD CPFL Energia Technographics

CPFL Energia is a Utilities organization based in Brazil, with around 13008 employees and annual revenues of $8.10 billion.

CPFL Energia operates a diverse technology stack with applications such as Microsoft Power BI, Microsoft Azure Cloud Services and Dynatrace Ruxit, covering areas like Analytics and BI, Application Hosting and Computing Services and Application Performance Management.

CPFL Energia has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Microsoft and Dynatrace.

CPFL Energia recently adopted applications including Cloudflare CDN in 2021, Microsoft Power BI in 2019 and Microsoft Azure Databricks (AI) in 2019, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of CPFL Energia’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates CPFL Energia’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

Subscribe to APPS RUN THE WORLD to access the complete CPFL Energia technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.