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How Data-Driven Decisions Help Restaurants Stay Competitive

Harvard Business Review

Today data is an increasingly important part of how restaurants create value, both on the demand side (how consumers choose a place to eat, make a reservation, give their order, and pay their bill) and the supply side (detailed preparation and food resource-management records that enable restaurants to optimize inventory and reduce waste).

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You can't burn data

Jeffrey Phillips

As the concept of digital transformation takes root, you may frequently hear comparisons between data and oil. This comparison was strong enough to lead Wired magazine to define data as the new oil in a magazine article some years ago. Both data and oil are commodities, and exist to some degree in large volumes.

Data 157
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Working together to shape innovation for meaningful change

Paul Hobcraft

Shaping Innovation for a Meaningful Change Following on from my initial post, “ Our Need is to Shape Innovation Dynamically, ” this post outlines the eight value-adding points that I can help build out and deliver alongside you in different delivery modules to fit your circumstances and budgets.

Change 173
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Change Management is strategy and vice versa

Jeffrey Phillips

But what struck me about their work is that they also focus on culture and change management. In a time when everyone is focused on analytics, on artificial intelligence, on strategy and on mission, focusing on change and culture is almost counterintuitive, but it's probably what we should be focusing on. Change is difficult.

Strategy 167
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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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Cultivating Excellence: Leveraging Change Management for Organizational Culture Transformation

Leapfrogging

As you lead culture change for greater innovation & business growth , you will notice a surge in novel ideas and solutions that can propel your company forward. For leaders, recognizing the need for change is the first critical step in this journey. To prevent this, you must be vigilant in spotting the telltale signs.

Culture 100
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Trends in AI: Should You View Data as a Product?

Planview

Historically, companies had two approaches to deriving value from data. Some companies used a grassroots approach, where individual people and teams mined their own data stores for insights as needed. Neither can handle the amount of data coming in from customers and internal operations. The problems with those approaches?

Data 72
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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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How to Stay Competitive in the Evolving State of Martech

Marketing technology is essential for B2B marketers to stay competitive in a rapidly changing digital landscape — and with 53% of marketers experiencing legacy technology issues and limitations, they’re researching innovations to expand and refine their technology stacks.

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4 Approaches to Data Analytics

The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data.

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The New Tech Toolbelt: Digital Twins, IoT, Cobots, & More

Speaker: Cory Skinner, Founder and CEO of FactR

From limited visibility and a lack of real-time data to a lack of agility and responsiveness to changing market conditions, there's no shortage of difficulties that today's supply chain professionals can encounter. What can be done to not only address these challenges, but overcome them?