Why Data Matters: The Competitive Edge of Data & Analytics in Today's Marketplace
Consumer brands and their external suppliers need better data to respond to disruption. This eBook explains why siloed data holds supply chains back, what sharing data delivers, and what to look for in a solution provider.
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Most companies' data is still stuck in silos
Material shortages, inflation, labor shortages and geopolitical conflict keep supply chains unsettled. Many companies invested in ERP and WMS platforms, but few looked hard at the multi-party data and analysis needed to respond to disruption. The result is data siloed by team, department and system, often focused on a single business unit without regard for the inventory, capacity or cost of the rest of the business.
This eBook makes the case for supply chain maturity, explains the value of sharing data inside the business and with external partners, and closes with a checklist of capabilities to look for in a data and analytics provider. Download the guide, then see how Nulogy Data brings production, quality and cost data from every plant into one place.
Inside the eBook
In the eBook's order: why data matters now, how supply chains mature, the value of sharing data, and what to look for in a provider.
Why Data Matters Now
Ongoing disruption has shown the need for technology that keeps pace, including mature data use and analytics, and few organizations have looked beyond their own ERP and WMS data.
The Case for Supply Chain Maturity
Most companies sit at a "Functional" stage built on ERP, with plans and tools for execution but siloed data. Maturity means integrating across the enterprise, then sharing data with trading partners to optimize the whole network.
El valor de compartir datos
The more current, relevant and accessible your data, the sharper your business insight. For brands and their upstream suppliers the main obstacle is connectivity between teams, departments and systems.
Five Benefits of Sharing Data
Create visibility, optimize operational efficiencies and increase revenue, enable data-driven decision-making, improve agility, and build a competitive edge through more advanced analytics.
What to Look For in a Solution Provider
Six capabilities: near-real-time dashboards, root cause analysis, querying and exporting to your own data warehouse, trend and variance analysis, feeding machine learning models, and a view of production from start to finish.
Why Data Matters FAQ
1What does the guide cover?
Why data matters in an unpredictable market, the case for supply chain maturity, the value of sharing data and its five benefits (visibility, operational efficiency and revenue, data-driven decisions, agility and competitive edge), and the capabilities to look for in a data and analytics solution provider.
2Who is this guide for?
Consumer brands and their external suppliers, and the operations, supply chain and IT leaders in those businesses who want to break down data silos and respond faster to disruption.
3What is a data silo?
A data silo is information held by one team, system or site that others can't easily reach. In an Economist Intelligence Unit report cited in the eBook, 64% of respondents said their organization struggles to integrate data from varied sources.
4What is the "Functional" stage of supply chain maturity?
In the eBook, it is the most common stage: supply chains supported mainly by ERP systems, usually led by IT to standardize data and lower costs. The Functional stage gives a business a supply chain plan and tools for execution, but its data stays siloed within single business units or functions.
5What should a data and analytics platform be able to do?
The eBook lists six capabilities: dashboards powered by near-real-time analytics, root cause analysis, querying and exporting data to your own data warehouse, tracking changes over time including estimated versus actual values, feeding machine learning models, and a full view of production operations from start to finish.
6How does Nulogy Data put this into practice?
Nulogy Data is a self-serve analytics layer that brings production, quality and cost data from every plant into one place, with out-of-the-box connectors to Power BI and Tableau, data warehouse feeds and root cause analysis over time. MSI Express uses Nulogy Data to identify waste, increase quality and improve customer service levels (read the story).
Continue Your Data Research
Nulogy Data
Self-serve analytics across every plant, with connectors to Power BI and Tableau.
Get the brochure → Estudio de casoMSI Express
Using data to identify waste, increase quality and improve customer service levels.
Lee la historia → Free eBookBreaking the Black Box
How live visibility into production and inventory improves planning with external manufacturers.
Get the eBook →See Nulogy Data in Action
Talk to our team about getting more from your production and supply chain data.
- Production, quality and cost data from every plant in one place
- Out-of-the-box connectors to Power BI and Tableau
- AI-powered query generation for non-technical users