This Halloween, beware of Data Zombies 🧟‍♂️

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Modern Data Silos 

Traditional ways of data consumption have relied on data scientists or other data gatekeepers to parse data and present meaningful data insights. This results in crucial data being siloed off from the individuals who can make the most impact with that data. With AI coming onto the scene in everyday interactions, business leaders have the ability to add AI into their operations to break down those data barriers and democratize data for their entire organization.

Breaking Down Data Barriers

Once businesses employ self-service analytics and start to cut costs, they can begin to democratize their data for their organization. With self-service analytics, any team member can parse their respective data and gain insights, all to drive revenue in their department, team, or other. Supply chain managers can access instant insights into critical parts, shortages, and other key components, and fix these issues themselves without having to escalate further. Data analytics and business intelligence professionals can easily access data without having to employ a data scientist to build models or dashboards. 

Some benefits of data democratization with self-service analytics:

Instant drill down analytics: quickly parse all of your data at once, with visibility across all sectors. Drill down into this data and present it in different visual forms for quick digestion. Also, share these insights across teams and individuals.

Flexibility and Resiliency: by democratizing data for your organization, team members have the ability to access insights and make decisions quickly, without having to wait for response from higher ups. This is especially helpful in supply chain to address problems as they arise quickly.

Data Governance: be fully in control of your data destiny when employing self-service analytics with AI. Control your data access rights and control what your team has access to. 

With data democratization, your team can be laser-focused on data-driven decision making, without having to rely on industry knowledge or gut feeling. With data-driven insights, team members can also see net change over time, and access historical data to make informed decisions.

Democratize your data with AI today. Request a demo to see how.

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