San Diego, 92101, CA,
United States
Sempra Renewables Technographics
Sempra Renewables Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Sempra Renewables and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 16000 Sempra Renewables employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Sempra Renewables has purchased the following applications: Microsoft Power BI for Analytics and BI in 2013 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Sempra Renewables is running and its propensity to invest more and deepen its relationship with Microsoft 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 Sempra Renewables revenues, which have grown to $9.00 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 Sempra Renewables 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.
Sempra Renewables Tech Stack and Enterprise Applications
Sempra Renewables Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Power BI | Analytics and BI | Analytics and BI | n/a | 2013 | 2018 |
In 2013 Sempra Renewables deployed Microsoft Power BI to centralize environmental compliance reporting for the Auwahi Wind Farm, positioning the tool within an Analytics and BI portfolio to support regulatory reporting and executive visibility. The implementation targeted management of the Habitat Conservation Plan and associated NEPA permitting workflows, aligning dashboards and reports to HCP permit amendment timelines, permit compliance metrics, and post construction monitoring requirements.
Microsoft Power BI was configured to consume tabular and spatial data feeds from ArcGIS, Access and SQL Server databases, and to surface analytical outputs produced in R and by USGS rare events Bayesian models. The team developed custom SQL queries and a data model that joined field observations, telemetry study results, and restoration activity records, enabling interactive dashboards for compliance analysts and executives. A mobile data collection application was refined in conjunction with the software vendor to standardize downed wildlife monitoring inputs, feeding Power BI reports and reducing data collection costs.
Operational coverage included facility operations and offsite mitigation sites, supporting coordination among field staff, agency biologists, land owners and contractors, and informing HCP permit amendment processes. Governance changes emphasized centralized data management, standardized reporting templates for environmental and safety protocols, and workflows that linked field data capture to executive level business intelligence, with Microsoft Power BI used as the primary Analytics and BI surface for decision making on compliance activities.
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IT Decision Makers and Key Stakeholders at Sempra Renewables
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| Project Manager -IT - Client services | Manager | Customer Service | ||||
| President | CXO | Finance | ||||
| Procurement Operations Lead | Manager | Procurement |
Apps Being Evaluated by Sempra Renewables Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||