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Do the Benefits of Cloud Outweigh the Costs?

Jet Global

But the constant noise around the topic – from cost benefit analyses to sales pitches to technical overviews – has led to information overload. Data Access What insights can we derive from our cloud ERP? What are the best practices for analyzing cloud ERP data? How do I access the legacy data from my previous ERP?

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Planning vs Forecasting: Four Key Differences

Jet Global

Many people use terms like “planning,” “forecasting,” “budgeting,” and “financial projection” somewhat interchangeably. When it comes to a plan vs forecast in particular, the line can be blurry. Let’s look at four key features that distinguish financial planning from forecasting: 1. Access Resource Now.

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Leveraging the Benefits of Sales and Operations Planning

Jet Global

In companies that deal with physical products, there is generally a clear delineation between supply chain operations and sales functions. The latter is responsible for forecasting sales, then maximizing revenue and margins; the former must see to it that the supply chain operates as efficiently as possible. Access Resource.

Sales 97
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How DataOps is Transforming Commercial Pharma Analytics

DataKitchen

A solid ramp in initial interest puts a new medicine on a trajectory to meet its lifetime sales targets. During the product launch, everyone in the sales and marketing organizations is hyper-focused on business development. Marketing invests heavily in multi-level campaigns, primarily driven by data analytics.

Analytics 246
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How To Get Rid Of Your Data Silos in S&OP

Jedox

Sales and production planning is often a mammoth task because numerous departments are involved. Data must be regularly queried and harmonized to even start planning. This is often because the data is not integrated and the result is data silos. The problem with data silos in the planning process.

Sales 96
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7 Keys to Effective Planning, Budgeting, and Forecasting

Jet Global

In most companies, planning, budgeting, and forecasting processes are fairly well-established, but just because you’ve always done things a certain way doesn’t mean you can’t improve them. They, in turn, rely on key players within their departments for input on costs, commitments, timelines, and expected outcomes.

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How a data fabric overcomes data sprawls to reduce time to insights

IBM Big Data Hub

The time required to discover critical data assets, request access to them and finally use them to drive decision making can have a major impact on an organization’s bottom line. That’s where the data fabric comes in. How does a data fabric impact the bottom line?