David Menninger's Analyst Perspectives

FEBRUARY 10, 2022

Migrating to the cloud does not solve the problems associated with performing analytics and business intelligence on data stored in disparate systems. Also, the computing power needed to process large volumes of data consists of clusters of servers with hundreds or thousands of nodes that can be difficult to administer.

Analytics 246

Analytics Business Intelligence Metrics Reporting 246

David Menninger's Analyst Perspectives

MAY 20, 2025

Domo is best known as a business intelligence (BI) and analytics software provider, thanks to its functionality for visualization, reporting, data science and embedded analytics. Domo was founded in 2010 by chief executive officer Josh James, previously founder and CEO of web analytics provider Omniture.

Metrics 130

Metrics Data Governance Unstructured Data Data-driven 130

CIO Business Intelligence

OCTOBER 7, 2022

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. Top 9 business intelligence certifications.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

AWS Big Data

MARCH 13, 2025

At AWS re:Invent 2024, we announced the next generation of Amazon SageMaker , the center for all your data, analytics, and AI. It enables teams to securely find, prepare, and collaborate on data assets and build analytics and AI applications through a single experience, accelerating the path from data to value.

Analytics 114

Analytics Data Lake Data Warehouse Data-driven 114

FineReport

JUNE 11, 2021

As companies striving to embrace digital transformation and become data-driven, business intelligence and analytics skills and experience are essential to building a data-savvy team. However, if someone puts you on the spot, can you clearly tell the difference between business intelligence and analytics?

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

Smart Data Collective

APRIL 15, 2021

Business Intelligence is the practice of collecting and analyzing data and transforming it into useful, actionable information. In order to make good business decisions, leaders need accurate insights into both the market and day-to-day operations. Set Up Data Integration. Pitch to Key Players.

Business Intelligence 108

Business Intelligence Analytics Statistics Data Warehouse 108

Smart Data Collective

NOVEMBER 24, 2020

As the use of intelligence technologies is staggering, knowing the latest trends in business intelligence is a must. The market for business intelligence services is expected to reach $33.5 top 5 key platforms that control the future of business intelligence impacts BI may have on your business in the future.

Business Intelligence 134

Business Intelligence Visualization Dashboards Prescriptive Analytics 134

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. What does a business intelligence analyst do? The role is becoming increasingly important as organizations move to capitalize on the volumes of data they collect through business intelligence strategies.

Business Intelligence 125

Business Intelligence Data-driven Statistics Data Warehouse 125

CIO Business Intelligence

MAY 6, 2025

While not uncommon in modern enterprises, this reality requires IT leaders to ask themselves just how accessible all that data is. Particularly, are they achieving real-time data integration ? For AI to deliver accurate insights and enable data-driven decision-making, it must be fed high-quality, up-to-date information.

Data Integration 52

Data Integration Metadata Data-driven Modeling 52

David Menninger's Analyst Perspectives

MAY 6, 2025

Natural language interfaces for business intelligence products existed long before the emergence of generative artificial intelligence. ThoughtSpots search interface lowered barriers to analytic insight, and the enterprise was an early adopter of NLQ and NLG to democratize access to data.

Analytics 130

Analytics Business Intelligence Interactive Data-driven 130

CIO Business Intelligence

OCTOBER 20, 2023

But adopting modern-day, cutting-edge technology is only as good as the data that feeds it. Cloud-based analytics, generative AI, predictive analytics, and more innovative technologies will fall flat if not run on real-time, representative data sets.

Data Integration 128

Data Integration Management Testing Cost-Benefit 128

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

Data observability is a key aspect of data operations (DataOps), which focuses on the application of agile development, DevOps and lean manufacturing by data engineering professionals in support of data production. The ability to monitor and measure improvements in data quality relies on instrumentation.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

Jet Global

DECEMBER 5, 2024

New drivers simplify Workday data integration for enhanced analytics and reporting RALEIGH, N.C. – The Simba Workday drivers provide secure access to Workday data for analytics, ETL (extract, transform, load) processes, and custom application development using both ODBC and JDBC technologies.

Data Integration 52

Data Integration Finance Data-driven Reporting 52

Jet Global

NOVEMBER 20, 2024

Organizations can now streamline digital transformations with Logi Symphony on Google Cloud, utilizing BigQuery, the Vertex AI platform and Gemini models for cutting-edge analytics RALEIGH, N.C. – This enables organizations to augment their products with real-time actionable intelligence, helping end users make swift, informed decisions.

Analytics 59

Analytics Digital Transformation Business Intelligence Data-driven 59

Analytics Vidhya

MARCH 16, 2023

Introduction The data integration techniques ETL (Extract, Transform, Load) and ELT pipelines (Extract, Load, Transform) are both used to transfer data from one system to another.

Data Integration 348

Data Integration Analytics Data Processing Machine Learning 348

FineReport

JULY 16, 2021

Among these problems, one is that the third party on market data analysis platform or enterprises’ own platforms have been unable to meet the needs of business development. With the advancement of information construction, enterprises have accumulated massive data base. BI INTELLIGENCE (from google). Data Analysis.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

Smarten

MAY 22, 2025

Fact-Based Analytics and Citizen Data Scientists = Results So, you want your business users to embrace and use analytics? You want your business to enjoy the benefits of fact-based decision making? And that is the good news.

Analytics 62

Analytics Cost-Benefit Forecasting ROI 62

CIO Business Intelligence

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Data Integration 100

Data Integration IoT Cost-Benefit Machine Learning 100

CIO Business Intelligence

MARCH 19, 2025

How do companies ensure their data landscape is ready for the future? Particularly when it comes to new and emerging opportunities with AI and analytics, an ill-equipped data environment could be leaving vast amounts of potential by the wayside. All of this complexity creates a challenge.

Data Integration 52

Data Integration Data Quality Visualization Optimization 52

Smarten

FEBRUARY 26, 2025

Low Code No Code Development Supports Analytics Performance Within the very near future, it is estimated that 70% of all software and application design will include a component of low-code or no-code development. So, it is no surprise that analytics software and tools are also affected by this trend.

Analytics 62

Analytics Cost-Benefit Visualization ROI 62

CIO Business Intelligence

FEBRUARY 6, 2023

Executive leaders of small businesses and startups frequently lament that they lack the same access to data and insights that enterprise competitors and other more entrenched players enjoy. The solution: business intelligence tools While mindset is a difficult obstacle to overcome, technology and budget are easier ones to surmount.

Business Intelligence 91

Business Intelligence Forecasting Marketing Sales 91

O'Reilly on Data

JANUARY 29, 2019

In other words, could we see a roadmap for transitioning from legacy cases (perhaps some business intelligence) toward data science practices, and from there into the tooling required for more substantial AI adoption? On the other hand, we wanted to measure the sophistication of their use of these components.

Deep Learning 270

Deep Learning Machine Learning Data Science Metadata 270

CIO Business Intelligence

OCTOBER 19, 2023

The growing volume of data is a concern, as 20% of enterprises surveyed by IDG are drawing from 1000 or more sources to feed their analytics systems. Data integration needs an overhaul, which can only be achieved by considering the following gaps. K2view uses its patented entity-based synthetic data generation approach.

Data Integration 125

Data Integration Unstructured Data Data-driven Data Warehouse 125

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.

Management 324

Management Data Warehouse Data Quality Data Integration 324

DataKitchen

NOVEMBER 5, 2024

The Silver layer aims to create a structured, validated data source that multiple organizations can access. This intermediate layer strikes a balance by refining data enough to be useful for general analytics and reporting while still retaining flexibility for further transformations in the Gold layer.

Data Quality 195

Data Quality Testing Metrics Reporting 195

Juice Analytics

MAY 11, 2020

Dresner Advisory Services’ report about self-service business intelligence uncovered a surprising result. Among all the hot analytics initiatives to choose from (big data, IoT, NLP, data storytelling, cognitive BI, GDPR), plain old reporting is what is considered the most important strategic initiative.

Reporting 134

Reporting Analytics IT Data Lake 134

KDnuggets

NOVEMBER 24, 2021

Maintaining a centralized data repository can simplify your business intelligence initiatives. Here are four data integration tools that can make data more valuable for modern enterprises.

Data Integration 83

Data Integration Enterprise Business Intelligence Data Analytics 83

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

O'Reilly on Data

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Temporal data and time-series analytics.

Big Data 271

Big Data Technology Machine Learning Deep Learning 271

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Two use cases illustrate how this can be applied for business intelligence (BI) and data science applications, using AWS services such as Amazon Redshift and Amazon SageMaker.

IoT 111

IoT Machine Learning Metadata Data-driven 111

FineReport

JUNE 11, 2021

As companies striving to embrace digital transformation and become data-driven, business intelligence and analytics skills and experience are essential to building a data-savvy team. However, if someone puts you on the spot, can you clearly tell the difference between business intelligence and analytics?

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

Birst BI

FEBRUARY 13, 2018

Today, Constellation Research , a leading technology research and advisory firm based in Silicon Valley, announced that Birst, an Infor company, for the fourth consecutive time, has been named to the Constellation ShortList for Cloud-Based Business Intelligence and Analytics Platforms.

Business Intelligence 66

Business Intelligence Diagnostic Analytics Analytics Visualization 66

AWS Big Data

NOVEMBER 13, 2023

Join the AWS Analytics team at AWS re:Invent this year, where new ideas and exciting innovations come together. For those in the data world, this post provides a curated guide for all analytics sessions that you can use to quickly schedule and build your itinerary. A shapeshifting guardian and protector of data like Data Lynx?

Analytics 119

Analytics Data Lake Data Warehouse Data-driven 119

CIO Business Intelligence

DECEMBER 20, 2024

Real-time analytics. The goal of many modern data architectures is to deliver real-time analytics the ability to perform analytics on new data as it arrives in the environment. Flexible data architectures can integrate new data sources, incorporate new technologies, and evolve with business needs.

Data Architecture 120

Data Architecture Management Consulting Internet of Things 120

Smarten

FEBRUARY 6, 2025

The Use and Benefits of Low-Code No-Code Development in Business Intelligence (BI) and Predictive Analytics Solutions Introduction In this article, we will discuss Low-Code and No-Code Development (LCNC) and the use of the Low Code and No Code approach for business intelligence (BI) tools and predictive analytics solutions.

Predictive Analytics 40

Predictive Analytics Key Performance Indicator Analytics Predictive Modeling 40

CIO Business Intelligence

FEBRUARY 27, 2025

Without integrating mainframe data, it is likely that AI models and analytics initiatives will have blind spots. However, according to the same study, only 28% of businesses are fully tapping into the potential of mainframe data insights despite widespread acknowledgment of the datas value for AI and analytics.

Metadata 98

Metadata Data Lake Cost-Benefit Forecasting 98

AWS Big Data

FEBRUARY 26, 2025

Analytics remained one of the key focus areas this year, with significant updates and innovations aimed at helping businesses harness their data more efficiently and accelerate insights.

Analytics 66

Analytics Data Lake Metadata Data Warehouse 66