FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. Harnessing the power of advanced APIs, automation, and AI, these tools simplify data compilation, organization, and visualization, empowering users to extract actionable insights effortlessly.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

CIO Business Intelligence

MAY 23, 2022

The company’s data lakes in the cloud, which, along with associated tools such as analytics and AI, is what has facilitated McDermott’s IT transformation. Then maybe we can have a dashboard that looks at anomalies on spot-checking. The conversation changes to a whole different level.”. On the horizon.

Data Lake 105

Data Lake Data mining IoT Digital Transformation 105

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Domino Data Lab

MARCH 11, 2021

Machine learning algorithms use different methods to analyze training data and apply what they learn to new examples. Algorithms have parameters, which you can think of as a dashboard with switches and dials that control how the algorithm operates. It is one of the best tools available for data mining and analysis.

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143

In(tegrate) the Clouds

OCTOBER 7, 2016

As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. Ad hoc query, data mining, information I’m still not finding.

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40

Sisense

MAY 11, 2021

Data teams dealing with larger, faster-moving cloud datasets needed more robust tools to perform deeper analyses and set the stage for next-level applications like machine learning and natural language processing. To best understand how to do this, let’s dig into the challenges of big data and look at a wave of emerging issues.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 2) Data Discovery/Visualization. We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361