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Finding the Patterns in Big Data

The Finance Weekly

One of the most powerful ways to defend against competitors and shine amongst your peers is to discover that one gem of data that drives action. In technical terms, it’s the art and science of mining your data to find key patterns. 2 Clean Up Your Data The quality of your data analysis is only as good as the data you've collected.

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3 Ways to Use Power BI To Make the Most Of Nonprofit Data

Collectiv

Data analysis is a treasure trove for non-profits. Solid processes around nonprofit data give you critical information to highlight unique aspects of your organization, boost morale, increase credibility, enhance transparency, and build community awareness to support your mission.

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How forecast error analysis improves your FP&A process

Centage

Cumulative sum of forecast errors (CUMFE) : Analyze the total sum of forecast errors over time to identify patterns and trends. Acknowledging and addressing forecast errors as you create a new annual budget or reforecast pays dividends down the road.

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Deep Dive: How Data Provides Businesses With Competitive Analytics

PYMNTS

Data lakes can collect and processes this information — as well as other details like server logs, individual device data and international blacklists — to enable advanced learning tools to more comprehensively analyze data. . Strategies that rely on both structured and unstructured data have been so successful that U.S.

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Data Update 1 for 2024: The data speaks, but what does it say?

Musings on Markets

In pursuit of an answer to that question, I used company-specific data from Value Line, one of the earliest entrants into the investment data business, to compute an industry average.

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HP Enterprise Chief Architect On How Hybrid IT Moves Firms Beyond Moore’s Law

PYMNTS

The premise put forth by Gordon Moore states that the number of transistors per square inch on integrated chips double every year. If I gave you something that was 10,000 times faster [for analyzing data], would you change your business process to match, or would you change the business you’re in?”.

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Data Enabler Alooma Aggregates Data So Retailers Can Actually Use It

PYMNTS

Analyzing data is tough, but a lot of products and services have solved for that. When Alooma CEO and cofounder Yoni Broyde talked to retailers, he found that for most of them, analysis wasn’t the problem. The problem was getting all their data into one place first. PYMNTS: Can you give me some personnel growth numbers?

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