Remove Management Remove Metrics Remove Slice and Dice
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Simplify Metrics on Apache Druid With Rill Data and Cloudera

Cloudera

Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. Deploying metrics shouldn’t be so hard. Rill relieves that burden with a managed service offering or Druid monitoring for existing clusters.

Metrics 87
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12 Marketing Reports Examples You Can Use For Annual, Monthly, Weekly And Daily Reporting Practice

datapine

Management thinker Peter Drucker once stated, “if you can’t measure it, you can’t improve it” – and he couldn’t be more right. Structure your metrics. As with any report you might need to create, structuring and implementing metrics that will tell an interesting and educational data-story is crucial in our digital age.

Reporting 280
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Super-charged pivot tables in Amazon QuickSight

AWS Big Data

This involved migrating complex tables and pivot tables, helping them slice and dice large datasets and deliver pixel-perfect views of their data to their stakeholders. For example, a customer 360 report sliced by different regions. Recently, Amazon FinTech migrated all their financial reporting to QuickSight.

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5 tips for excelling at self-service analytics

CIO Business Intelligence

Having that roadmap from the start helps to trim down and focus on the actual metrics to create. Have a data governance plan as well to validate and keep the metrics clean. As soon as one metric is not accurate it is hard to get the buy-in again, so routinely confirming accuracy on all analytics is extremely important.”

Analytics 137
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13 power tips for Microsoft Power BI

CIO Business Intelligence

With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most. You can also use Power BI to prepare and manage high-quality data to use across the business in other tools, from low-code apps to machine learning.

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The How-To Guide for Cleaning and Preparing Data for Analysis

Juice Analytics

The same metric is broken out into separate columns. We will often see data tables where a metric, like sales, is broken into separate columns by a dimension like month/quarter, geographic region, product, etc. The preferred structure is to have a column that represents that dimension and a single column for the metric.

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Blending Art and Science: Using Data to Forecast and Manage Your Sales Pipeline

Sisense

Best practice blends the application of advanced data models with the experience, intuition and knowledge of sales management, to deeply understand the sales pipeline. This process helps sales managers manage and invest in their team and anticipate opportunities that lead to exceeding revenue goals. Sales data can get messy.

Sales 91