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Why DataOps is Critical for Your Business

Data is often compared to oil – it powers today’s organizations, just like the fossil fuel powered companies of the past. Just like oil, the data that companies collect needs to be refined, structured, and easily analyzed in order for it to really provide value in the form of gaining actionable insights. Every organization today is in the process of harnessing the power of their data using advanced analytics, which is likely running on a modern data stack.

Qlik Launches Order-to-Cash Solution Accelerators for SAP: Modern Real-time Analytics to Optimize Your Working Capital

Today, more than ever, line-of-business users responsible for managing working capital need actionable insights in real-time. At the same time, IT/data teams want to accelerate projects, as well as modernize and integrate their data architectures and analytics, while managing risks and costs.

The Rise of DataOps: Governance and Agility with TrueDataOps

The velocity of change is accelerating. The rate of change businesses are experiencing is just astounding. As many organizations have experienced during the pandemic, especially in their supply chain, the need for the data environment to be able to deliver faster is now mission-critical for all! We need better data—but at a rate that’s much faster than before. Businesses need their data teams to become more responsive to changing data demands. That means they need agility.

Analytics best practice: 5 key dashboard design principles

Simply put, a lot of effort is going into creating dashboards that the intended audience don’t even look at. The main purpose of a dashboard is to communicate business data in a visual form that highlights to the reader what is important, arranges it for clarity and leads them through a sequence that tells the story best so they can make better data-led decisions. Design and an understanding of how humans make decisions exist to assist this purpose.

Top Three Requirements for Data Flows

Data flows are an integral part of every modern enterprise. No matter whether they move data from one operational system to another to power a business process or fuel central data warehouses with the latest data for near-real-time reporting, life without them would be full of manual, tedious and error-prone data modification and copying tasks.

The death of the dashboard: What it really means for analytics

Let’s get this out of the way: To understand the much discussed ’death of the dashboard' proclamation, the phrase needs to be viewed under a different lens beyond the literal. Firstly, it's not a new concept at all: Yellowfin have been saying it for years. The problem is in the current confusing interpretation around what it means for business intelligence. In short, dashboards aren’t actually dying, nor is their usefulness for certain users spent.

Developing Data Literacy and Standardized Business Metrics at Tailored Brands

In this episode of CDO Battlescars, Sandeep Uttamchandani, Unravel Data’s CDO, speaks with Meenal Iyer, Sr. Director of Enterprise Analytics and Data at Tailored Brands. They discuss battlescars in two areas, data and metrics: Growing Data Literacy and Developing a Data-Driven Culture and Standardization of Business Metrics.

The Dashboard Is Dead, Long Live the Dashboard

There is a lot of talk these days about the dashboard being a thing of the past. After all, simply displaying KPIs and visualizations in a dashboard is something everyone can do, right? If monitoring KPIs is all you need to do, then we would agree: The dashboard is largely dead. We can deliver those singular data points to you anywhere, monitoring what you’re interested in, alerting you to changes and triggering action.