An enterprise 360-degree view gives businesses comprehensive visibility of their operations. It involves creating unified views of an organization's data across all departments, systems, and processes, helping integrate, analyze, and act on data holistically for better decision-making, risk management, and customer insights. It underpins industry use cases such as Customer 360 in marketing intelligence or Patient 360 in healthcare.

Enterprise 360 works best when integrating and matching data from various sources. It delivers accuracy and context into AI models, analytics dashboards and decision-making. However, data and business context constantly change. Without clear timely perspectives, companies struggle to unlock trusted insights, resulting in missed opportunities and overlooked risk.

Enterprise 360: A decades-long challenge, solved

Master Data Management (MDM) tools and homegrown data engineering teams have made many attempts at building Enterprise 360, but it takes a long time to get to production, is hard to maintain, and non-trivial to streamline across the different requirements of key use cases. It’s one thing to promise innovation, quite another to operationalize it well. In an AI age where enterprise guardrails must accompany copilot or agent-led prompt workflows, data accuracy and context are of increasing importance.

Quantexa Unify Workload for Microsoft Fabric

Microsoft Fabric solves many of these challenges by centralizing an organization's data estate in OneLake. By providing a single namespace to access all enterprise data, OneLake resolves a common MDM integration challenge.

Yet this raises the bar when ensuring matched and contextual data, because:

• More data means your platform needs to scale to billions of rows and columns of data

• More systems means that you need to integrate data reliably from many sources, possibly dozens or even hundreds

• Demands for timeliness means data needs to be current and accessible

• More use cases demand different rules and requirements. Sales teams have different needs to finance teams, who in turn have different needs to marketing teams, etc.

For this, you can turn to Quantexa Unify, a native Fabric Workload. Quantexa Unify adds a simple-to-use entity resolution capability to Fabric predicated on decades of proven experience in the world’s largest and most demanding organizations. In minutes, you can deliver to your users de-duplicated and contextualized data products, drawn from across your Fabric data estate providing enterprise 360-degree views of individuals, organizations, locations, and other real-world entities. Having well-orchestrated data boosts your enterprise 360 view which means happier decision-makers and trustworthy enterprise AI.

5 Ways Quantexa Unify for Microsoft Fabric Enhances Enterprise 360

Here is how Quantexa Unify brings key entity resolution and matching capabilities to Fabric to elevate the enterprise 360 opportunity:

1. Ease of use

Quantexa Unify brings a no-code approach. Users simply select the data sources they want. Unify will analyze the metadata, and identify the content of the data fields, then automatically map those fields to pre-defined entity resolution models.

In the Explorer panel, click the + next to Data Sources

Select from your Data Sources.

2. Data variety

Users can select any number of data sources from OneLake and add them to the Enterprise 360 view. You can aggregate constituent data from, say, a CRM system, an ERP system, and from an external source of information, e.g. a credit bureau.

3. Scale

Quantexa Unify can scale to tens of billions of records by leveraging Fabric’s Data Engineering workload in the customer’s tenant, allowing full control of performance.

4. Data privacy

Entity resolution requires identifying people and organizations based on their personally identifiable information (PII), so data security is essential. Quantexa Unify runs the Workload in the Customer Tenant, so data is subject to your approved privacy and access controls

5. Contextual views

Users can select the entity resolution rules appropriate to the use case. A sales team may prefer a “fuzzy” record matching view while a finance team may take a “strict” view.

Deploy into Microsoft Fabric pipelines today

With a few clicks in your Microsoft Fabric instance, you can take your data from source to an Enterprise 360 view in minutes. This can populate data pipelines and data products to help tune AI, analytics and decision-making with trusted and accessible data through Fabric Workloads such as Fabric PowerBI, Fabric Data Warehouse, Fabric Data Science, and Azure Co-Pilot Studio.

Get started with your Enterprise 360 today. Just add the Quantexa Unify Workload in your Microsoft Fabric environment.