Minneapolis, 55415, MN,
United States
phData
phData, a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. phData collaboration with software players such as Sigma Computing, KNIME and empowers organizations to embrace disruptive technologies and accelerate their journey to the cloud, thus reshaping their business models.
| Reseller and SI | Vendor | Application | Category | Market |
|---|---|---|---|---|
| phData | KNIME | KNIME | ML and Data Science Platforms | AI Development |
| phData | Sigma Computing | Sigma | Analytics and BI | Analytics and BI |
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight |
|---|---|---|---|---|---|---|---|---|---|---|
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Moffitt | Healthcare | 7000 | $1.0B | United States | Sigma Computing | Sigma | Analytics and BI | 2023 |
In 2023, Moffitt implemented Sigma to deliver self service analytics atop a Snowflake based MCAP platform. The Sigma deployment targeted the organization’s Analytics and BI capability, with an explicit objective of data democratization and broadened self service access to enterprise data.
Sigma was configured to surface Snowflake data through live, SQL backed analytical workspaces, interactive dashboards, and spreadsheet style exploration. Configuration work emphasized a governed semantic layer and reusable data models to standardize metrics and accelerate ad hoc analysis across users.
The Snowflake based MCAP platform served as the primary data warehouse and execution engine, with Sigma connecting directly to enable live data exploration and query pushdown. phData acted as the implementation partner and supported integration, environment provisioning, and the rollout of analytics environments.
Operational scope covered analytics teams supporting clinical, research, and administrative reporting, with governance implemented via role based access and modeled datasets. The implementation centralized Analytics and BI tooling at Moffitt, enabling business users to self provision reports while preserving centralized data governance and controlled semantic definitions.
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Procter & Gamble | Consumer Packaged Goods | 108000 | $84.0B | United States | KNIME | KNIME | ML and Data Science Platforms | 2020 |
In 2020, Procter & Gamble implemented KNIME to automate integration of complex manufacturing, lab, supply chain and quality data and to enable real time supply and demand forecasting and multi level dashboards. Procter & Gamble implemented KNIME, an ML and Data Science Platforms solution, to support supply chain and operations forecasting across global sites.
The implementation centered on KNIME workflows for data ingestion, transformation, model orchestration and dashboarding, and on enabling citizen developer pipelines for rapid experiment to production cycles. KNIME was configured to host reusable ETL and model scoring components, and training paths were created to upskill roughly 8,000 citizen developers so they could operate and extend analytic workflows.
The solution was developed in partnership with phData for supply chain and operations use and integrated manufacturing, laboratory, supply chain and quality data feeds to provide unified, multi level dashboards. Operational coverage was global and focused on enabling a single global decision meeting by consolidating regional views into a common set of real time indicators and forecasts.
Governance emphasized centralized analytics stewardship and role based workflow handoffs to support the scaled citizen developer population, with phData supporting deployment and adoption. The rollout replaced multiple regional decision meetings with a single global decision meeting and shortened time to insight from hours to minutes.
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Buyer Intent: Companies Evaluating phData Services
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