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Business Intelligence tools & use cases

Apiumhub

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO

2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. It’s About the Data For companies that have succeeded in an AI and analytics deployment, data availability is a key performance indicator, according to a Harvard Business Review report. [3]

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Hospitality Business Intelligence: Technology Specifics, Integration Problems, Business Value, and Key Providers

Altexsoft

Data analytics is one of the key directions for digital transformation in various industries, travel included. As business grows, these become impossible to analyze and keep track of manually or using spreadsheets. As business grows, these become impossible to analyze and keep track of manually or using spreadsheets.

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The Good and the Bad of Snowflake Data Warehouse

Altexsoft

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. The platform provides fast, flexible, and easy-to-use options for data storage, processing, and analysis.

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Best Practices for Sales Lead Management in a Data-Driven World

Strategy Driven

Implement Data Storage Solutions Implementing robust data storage solutions is essential for managing and safeguarding data. Efficient data storage solutions enable enterprises to improve data management, monitor their websites , enhance data security, increase workflow efficiency, and save IT infrastructure and operations costs.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

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Supercharge Your Data Lakehouse with Apache Iceberg in Cloudera Data Platform

Cloudera

Time travel with point-in-time queries for forensic visibility and regulatory compliance capabilities . With frequent updates to our data lake, we aim to accelerate reporting and business intelligence, giving our business teams access to current insights. We selected change data capture as our first use case on Iceberg.

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