Cloudera

FEBRUARY 22, 2021

I have developed this framework to help organizations not only establish the business case for investing in CDP, but also provide a mechanism to prioritize analytical investments based on specific business objectives (e.g., More information about Cloudera Data Platform can be found at [link].

Cost-Benefit 79

Cost-Benefit Data Warehouse Data Processing Data Governance 79

Paul Blogs on BI

SEPTEMBER 8, 2021

Well firstly, if the main data warehouses, repositories, or application databases that BusinessObjects accesses are on premise, it makes no sense to move BusinessObjects to the cloud until you move its data sources to the cloud. The software is exactly the same and will remain that way for the foreseeable future.

Data Warehouse 59

Data Warehouse Data Processing Data Lake Testing 59

Alation

MARCH 29, 2022

This led to the birth of separate systems for reporting: the enterprise data warehouse. For the first time, the focus of a system became business questions, where data was denormalized. Slow requirements led technology leaders to demand proactive business intelligence. Subscribe to Alation's Blog.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96

datapine

FEBRUARY 22, 2022

Decide which are necessary to your business intelligence strategy. This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Or does building a data warehouse make sense for your organization? Define a budget. Identify key performance indicators (KPIs).

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

AWS Big Data

JULY 31, 2023

This solution decouples the ETL and analytics workloads from our transactional data source Amazon Aurora, and uses Amazon Redshift as the data warehouse solution to build a data mart. We use Amazon Redshift as the data warehouse to implement the data mart solution. For IAM role ¸ choose GlueBlogRole.

Sales 52

Sales Data Warehouse Visualization Testing 52

IBM Big Data Hub

JULY 27, 2023

With a summary of business objectives, developers can spend less time learning about the business playbook and more time coding. Powering a knowledge management system with a data lakehouse Organizations need a data lakehouse to target data challenges that come with deploying an AI-powered knowledge management system.

Management 55

Management Enterprise Modeling Data Quality 55

Alation

AUGUST 9, 2021

Pologruto solved this problem by giving people the option to analyze data in the tool of their choice: Jupyter Notebooks for data scientists and more technical teams, and Sigma for business teams. See how a data catalog empowers more people to join the data conversation. Subscribe to Alation's Blog.

Analytics 98

Analytics Data-driven Contextual Data Data Analytics 98

datapine

MARCH 31, 2022

This could involve anything from learning SQL to buying some textbooks on data warehouses. If you’d like some resources in this area, we have posts on related business intelligence books and business intelligence podcasts you can use to start your research. Business Intelligence Job Roles.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. This design philosophy was adapted from our friends at Fishtown Analytics.).

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Paul Blogs on BI

JANUARY 12, 2018

At the same time, having applications in the Cloud that still access on-premise data sources is not ideal so many organizations are waiting until they move their Data Warehouses or key BI data sources into the Cloud before moving BusinessObjects there as well.

Data Warehouse 45

Data Warehouse Data Processing Business Intelligence Visualization 45

Occam's Razor

JUNE 28, 2010

A large part of the reason is that a large part of our job seems to consist of glorified data puking, hoping someone will be impressed. After all there is so much data in those reports!! To steal your energy away from being just in the report / data production business. My recommendation has been: 1. Report revenue.

Metrics 111

Metrics Key Performance Indicator Data-driven Marketing 111

Alation

AUGUST 26, 2021

Why does the business want to leverage data intelligence? Your goals should reflect your business’ objectives and clearly define by what metrics you will deem those goals successful. Some examples of goals and accompanying use cases include: The business wants to make better use of customer data.

Metadata 64

Metadata Data Governance Dashboards Software 64

Occam's Razor

MAY 18, 2010

way of identify actionable insights is on display in pretty much every single blog post I write. I have said: All data in aggregate is "crap" Because it is. One of my earliest blog posts extolled the glorious virtues of segmentation: Excellent Analytics Tip#2: Segment Absolutely Everything. Ask a lot of questions.

Analytics 123

Analytics Key Performance Indicator Metrics Measurement 123