Remove Cost-Benefit Remove Forecasting Remove Measurement Remove Uncertainty
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5 signs your agile practices will lead to digital disaster

CIO Business Intelligence

Equally important, the documented vision is a tool for agile teams to make implementation decisions when there are multiple ways to solve problems, each with different benefits and tradeoffs. They are afraid of failure and the uncertainty of knowledge work, and so that’s stressful.

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CDW to Acquire Sirius Computer Solutions for $2.5 billion

CDW Research Hub

Delivering Compelling Strategic and Financial Benefits and Strong Cultural Fit. However, CDW has not completed its reconciliation of Sirius’ non-GAAP financial measures to its non-GAAP financial measures, and any future reconciliation may be material. Accelerates CDW’s service and solutions capabilities.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective. Our team does a lot of forecasting. It also owns Google’s internal time series forecasting platform described in an earlier blog post.

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Tackling changed requirements with comprehensive modernization

BI-Survey

Overnight, the impact of uncertainty, dynamics and complexity on markets could no longer be ignored. Local events in an increasingly interconnected economy and uncertainties such as the climate crisis will continue to create high volatility and even chaos. Does the effort match the benefit? Are there better methods?

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Preparing For an Uncertain Future in Tax

Jet Global

We also examine the uncertainties that lie ahead in international tax regimes, the power that automation and analytics will deliver to tax teams, and the outcomes of implementing tax software, which will enhance the strategic contribution that tax teams are able to make. Improve overall financial reporting and forecasts. Download Now.

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Why model calibration matters and how to achieve it

The Unofficial Google Data Science Blog

To explain, let’s borrow a quote from Nate Silver’s The Signal and the Noise : One of the most important tests of a forecast — I would argue that it is the single most important one — is called calibration. If, over the long run, it really did rain about 40 percent of the time, that means your forecasts were well calibrated.

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What it Means to be a Data-driven Financial Institution

Sisense

But, many don’t know where to begin or how exactly to work with their data to their optimal benefit. By studying it, businesses can evolve and pivot to better fit their users’ needs, as well as how to prioritize the information in a way that benefits the health and growth of a business. Forecasting consumer trends.