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Common Business Intelligence Challenges Facing Entrepreneurs

datapine

Armed with BI-based prowess, these organizations are a testament to the benefits of using online data analysis to enhance your organization’s processes and strategies. In addition to increasing the price of deployment, setting up these data warehouses and processors also impacted expensive IT labor resources.

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13 power tips for Microsoft Power BI

CIO Business Intelligence

Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). 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 create manual metrics to update yourself.

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Simplify data loading into Type 2 slowly changing dimensions in Amazon Redshift

AWS Big Data

Thousands of customers rely on Amazon Redshift to build data warehouses to accelerate time to insights with fast, simple, and secure analytics at scale and analyze data from terabytes to petabytes by running complex analytical queries. Data loading is one of the key aspects of maintaining a data warehouse.

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What AI Means to a Retailer Dedicated to Customer Experience

Birst BI

When the data sets are large, with numerous attributes, users spend a lot of time slicing and dicing for newer insights or apply their original hypotheses to a subset of data. The third is to create a five-year strategy to obtain funding from our parent company FEMSA to grow our business.

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Simplify Online Analytical Processing (OLAP) queries in Amazon Redshift using new SQL constructs such as ROLLUP, CUBE, and GROUPING SETS

AWS Big Data

Amazon Redshift is a fully managed, petabyte-scale, massively parallel data warehouse that makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. In this post, we discuss how to use these extensions to simplify your queries in Amazon Redshift.

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

Sisense

So, partnering with analysts to model Salesforce data will give sales teams more confidence to predict the revenue that teams are going to close at the end of any given period, and identify behaviors and strategies that will be most effective. Analysts can use SQL as a more powerful tool than Salesforce to model messy sales data.

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How Product Analytics Differs From Embedded Analytics and Why You Need Both

Jet Global

Analytics is vital now because providing end-users with the ability to analyze, slice, and dice data within the context of their application is essential to staying competitive in today’s fast-paced digital world. What data does it provide? Any data covering any metric your users might want to see.