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Sisense’s Q2 Release: A Modern Data Experience Across the Analytics Continuum

Sisense

In-Warehouse Data Prep provides builders with the advanced functionality they need to rapidly transform and optimize raw data creating materialized views on cloud data warehouses. In-Warehouse Data Prep supports both AWS Redshift and Snowflake data warehouses. Additional capabilities.

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Simplify Metrics on Apache Druid With Rill Data and Cloudera

Cloudera

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Cloudera Data Warehouse).

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Common Business Intelligence Challenges Facing Entrepreneurs

datapine

In addition to increasing the price of deployment, setting up these data warehouses and processors also impacted expensive IT labor resources. Check out this investor relations dashboard example below, part of our management dashboard series: **click to enlarge**. They also need these tools to generate a true ROI.

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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 drill into data, create a variety of visualizations, and (literally) ask questions about it using AI.

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Business Intelligence vs. Reporting: Finding Your Bread and Butter

Jet Global

It will save you an unlimited amount of time trying to use the wrong tools for the job and mitigate the risk of getting inaccurate data into your financial statements, operational reports, or analytical dashboards. In contrast, your ERP software database is solely built for, you guessed it, putting the data in.

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How Newcomp Analytics partners with IBM to advance clients’ supply chain insights

IBM Big Data Hub

Left to their own devices, they had resorted to using legacy reporting tools such as Excel that required manual gathering, slicing and dicing of data. Consequently, this data was siloed, unshareable, hard to use, lacked quality and governance controls, and could not be used in automated processes.

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The Data Journey: From Raw Data to Insights

Sisense

They hold structured data from relational databases (rows and columns), semi-structured data ( CSV , logs, XML , JSON ), unstructured data (emails, documents, PDFs), and binary data (images, audio , video). Sisense provides instant access to your cloud data warehouses. Building dashboards and widgets.