CIO Business Intelligence

MAY 8, 2024

AI-powered data integration One of the most promising advancements in data integration is the integration of artificial intelligence (AI) and machine learning (ML) technologies. AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process.

Data Integration 87

Data Integration IoT Cost-Benefit Data Quality 87

Jet Global

MARCH 22, 2023

Market Drivers and Current Trends Organizations are increasing focus on the potential value within big data, seeking to better understand their customers and improve their products. The challenge is collecting all that data into one place and making it understandable.

Analytics 52

Analytics Cost-Benefit Dashboards Visualization 52

FineReport

APRIL 21, 2024

By providing real-time insights, advanced analytics, and dynamic visualization capabilities, these tools empower businesses to make timely and informed decisions that drive operational efficiency and maintain a competitive edge. Furthermore, these tools support advanced functionality such as predictive analytics and intelligent data alerts.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

datapine

FEBRUARY 25, 2022

From automated reporting, predictive analytics, and interactive data visualizations, reporting on data has never been easier. Now, if you are just getting started with data analysis and business intelligence it is important that you are informed about the most efficient ways to manage your data.

Reporting 173

Reporting Dashboards Visualization Metrics 173

Rocket-Powered Data Science

MARCH 10, 2020

All of that “metadata” (which is simply “other data about your data”) enables rich discovery of shortest paths, central nodes, and communities. Incorporating context into the graph (as nodes and as edges) can thus yield impressive predictive analytics and prescriptive analytics capabilities.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

CIO Business Intelligence

APRIL 15, 2022

That line of inquiry led to a predictive analytics project that would famously lead the retailer to inadvertently reveal to a teenage girl’s family that she was pregnant. Like all other big retailers, Target had been collecting data on its customers via shopper codes, credit cards, surveys, and more.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big Data is Carrying Massive Changes for Healthcare Organizations.

Big Data 78

Big Data Data Analytics Analytics Internet of Things 78

Sisense

OCTOBER 6, 2020

With qualitative data, you can understand intention as well as behavior, thereby making predictive analytics more accurate and giving you fuller insights. You can analyze and learn from the large volume of unstructured data to ensure that your data-driven decisions are as solid as possible.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process.

Data Analytics 99

Data Analytics Analytics Data Warehouse Data Lake 99

IBM Big Data Hub

OCTOBER 20, 2023

Key AI solutions that directly address these challenges include the following: Predictive Maintenance: AI helps manufacturers detect equipment issues through sensor data, enabling proactive maintenance and cost savings.

Machine Learning 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

FineReport

APRIL 24, 2024

Identification of Patterns : Visual data enables viewers to identify patterns, trends, and outliers within datasets with greater clarity. Visualizations offer decision-makers a holistic view of organizational metrics and performance indicators, enabling them to identify patterns, anomalies, and potential opportunities with clarity.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

Cloudera

SEPTEMBER 12, 2018

Toshiba Memory’s ability to apply machine learning on petabytes of sensor and apparatus data enabled detection of small defects and inspection of all products instead of a sampling inspection. Voya Financial prevented millions of dollars of fraudulent transactions by deploying predictive analytic capabilities on Cloudera.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

Grooper

AUGUST 19, 2019

Choosing the best analytics and BI platform for solving business problems requires non-technical workers to “speak data.”. A baseline understanding of data enables the proper communication required to “be on the same page” with data scientists and engineers. These requirements include fluency in: Analytical models.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Smart Data Collective

OCTOBER 25, 2023

Role of BI in Modern Enterprises What’s the goal and role of this data giant? BI guides decision-makers through data, enabling insights from vast information. Essentially, it organizes and analyzes data, supports informed decisions, and offers real-time access, predictive analytics, and intuitive visualization.

Key Performance Indicator 99

Key Performance Indicator Business Intelligence Data-driven Metrics 99

Andrew White

JANUARY 11, 2021

In our modern data and analytics strategy and operating model, a PM methodology plays a key enabling role in delivering solutions. Do you draw a distinction between a data-driven vision and a data-enabled vision, and if so, what is that distinction? where performance and data quality is imperative?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

NOVEMBER 7, 2023

Technology that increases efficiency by simplifying reporting processes is important for finance teams to connect data, enable agility, and drive profitability. To see how insightsoftware solutions can help your organization achieve these goals, watch our video on driving business growth through automation.

Finance 52

Finance Uncertainty Reporting Forecasting 52