Sisense

MARCH 9, 2020

The first step towards doing that is to bring all your organization’s data: all your disparate datasets, wherever they live (on-prem and in a variety of cloud sources, no doubt) into an enterprise BI tool. All this data needs to come together in one place in order for the organization to reap the benefits of an enterprise BI tool.

Data Integration 93

Data Integration Enterprise Slice and Dice Digital Transformation 93

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 78

Data Integration Enterprise Business Intelligence Data Analytics 78

Smarten

APRIL 25, 2024

How Can I Ensure Data Quality and Gain Data Insight Using Augmented Analytics? There are many business issues surrounding the use of data to make decisions. One such issue is the inability of an organization to gather and analyze data.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

Data Virtualization

OCTOBER 27, 2023

Kafka is used when real-time data streaming and event-driven architectures with scalable data processing are essential.

Data Integration 52

Data Integration Data-driven Data Processing Management 52

Analytics Vidhya

APRIL 1, 2024

This is a significant step in safeguarding the government’s data integrity. It adds to a series of restrictions on the use of AI tools by US government […] The post US Govt Office Bans Use Of Microsoft AI Copilot: Here’s Why appeared first on Analytics Vidhya.

Data Integration 242

Data Integration Analytics IT 242

Data Virtualization

NOVEMBER 15, 2022

Reading Time: 3 minutes Many businesses are moving towards a cloud-based approach in terms of managing their data, but that doesn’t mean that incorporating the cloud into businesses is an easy process. The post Is Cloud Data Integration the Secret to Alleviating Data Connectivity Woes?

Data Integration 52

Data Integration Management Data Science Technology 52

AWS Big Data

JULY 26, 2023

Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions. Are there recommended approaches to provisioning components for data integration?

Data Integration 71

Data Integration Snapshot Testing Visualization 71

Data Virtualization

MARCH 28, 2024

As noted in the Gartner Hype Cycle for Finance Data and Analytics Governance, 2023, “Through. The post My Understanding of the Gartner® Hype Cycle™ for Finance Data and Analytics Governance, 2023 appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Finance 69

Finance Digital Transformation Analytics Data Integration 69

Data Virtualization

FEBRUARY 3, 2022

Reading Time: 3 minutes Over the last decade, the rise of cloud storage technologies and the associated ease of implementing new applications and IT systems has led to data silos and made the data landscape, spread across these hybrid and multi-cloud environments, look more.

Data Integration 52

Data Integration Technology Management IT 52

KDnuggets

MARCH 18, 2020

An integrated BI system has a trickle-down effect on all business processes, especially reporting and analytics. Find out how integration can help you leverage the power of BI.

Business Intelligence 129

Business Intelligence Data Integration Reporting Analytics 129

Smarten

OCTOBER 10, 2023

Choose Augmented Analytics With Customizable Reporting for Your Users! Gartner defines Data and Analytics (D&A) as, ‘…the ways organizations manage data to support all its uses, and analyze data to improve decisions, business processes and outcomes, such as discovering new business risks, challenges and opportunities.’

Reporting 67

Reporting Analytics Forecasting Data Integration 67

Smarten

JANUARY 30, 2024

Business users cannot even hope to prepare data for analytics – at least not without the right tools. Gartner predicts that, ‘data preparation will be utilized in more than 70% of new data integration projects for analytics and data science.’ It’s simple.

Analytics 67

Analytics Data Quality Visualization Metadata 67

IBM Big Data Hub

JUNE 26, 2020

In turn, enterprises are increasingly looking for machine-learning-powered integration tools to synchronize data for analytics, improve employee productivity, and prepare data for analytics. Yet traditional ETL tools support only a limited number of delivery styles and involve a significant amount of hand-coding.

Data Integration 110

Data Integration Data Lake Machine Learning Enterprise 110

AWS Big Data

DECEMBER 21, 2023

As the volume and complexity of analytics workloads continue to grow, customers are looking for more efficient and cost-effective ways to ingest and analyse data. OpenSearch Service is used for multiple purposes, such as observability, search analytics, consolidation, cost savings, compliance, and integration.

Analytics 95

Analytics IT Data Lake Visualization 95

Analytics Vidhya

JULY 29, 2022

Introduction Processing large amounts of raw data from various sources requires appropriate tools and solutions for effective data integration. The post ETL Pipeline with Google DataFlow and Apache Beam appeared first on Analytics Vidhya. Building an ETL pipeline using Apache […].

Data Integration 351

Data Integration Data Science Publishing Analytics 351

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 283

Data Integration Analytics Data Processing Business Intelligence 283

Data Virtualization

MARCH 9, 2023

Reading Time: 3 minutes The Denodo Platform, which simplifies data management with real-time data access across myriad different data sources, can be flexibly installed on-premises or in the cloud, as a cloud-native implementation, to enable a wide range of use cases. Denodo has been.

Analytics 52

Analytics Data Integration Management Data Warehouse 52

Data Virtualization

MARCH 9, 2023

Reading Time: 3 minutes The Denodo Platform, which simplifies data management with real-time data access across myriad different data sources, can be flexibly installed on-premises or in the cloud, as a cloud-native implementation, to enable a wide range of use cases. Denodo has been.

Analytics 52

Analytics Data Integration Management Data Warehouse 52

Jedox

FEBRUARY 20, 2020

In our previous blog post “ Proven AI solutions for modern planning “, we shared detailed insights from Dr. Rolf Gegenmantel, our Chief Marketing & Product Officer, into data management and data integration as a basis for advanced analytics and automated sales forecasts at Mitsui Chemicals Europe.

Data Integration 52

Data Integration Finance Business Driver Forecasting 52

David Menninger's Analyst Perspectives

JANUARY 21, 2022

Automating this process using natural language processing (NLP) and artificial intelligence and machine learning (AI/ML) enables line-of-business personnel to query the data faster, generate reports themselves without depending on IT, and make quick decisions.

Analytics 130

Analytics Machine Learning Visualization Reporting 130

Analytics Vidhya

JUNE 26, 2023

To state the least, it is hard to imagine the world without data analysis, predictions, and well-tailored planning! 95% of C-level executives deem data integral to business strategies. appeared first on Analytics Vidhya.

Management 237

Management IT Data Integration Strategy 237

Analytics Vidhya

AUGUST 22, 2023

Introduction In today’s data-driven world, seamless data integration plays a crucial role in driving business decisions and innovation. Two prominent methodologies have emerged to facilitate this process: Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT).

Data-driven 216

Data-driven Data Integration Analytics 216

Smarten

SEPTEMBER 29, 2023

This Client required augmented analytics and reporting capabilities within the confines of the Healthcare Information System and Revenue tracking reports required by the industry standards and its management team. Key Benefits and Deliverables: Real-time report for Stocks, Sales, Returns, Regions etc.,

Analytics 67

Analytics Sales Operational Reporting Reporting 67

Analytics Vidhya

NOVEMBER 30, 2021

Introduction to ETL ETL is a type of three-step data integration: Extraction, Transformation, Load are processing, used to combine data from multiple sources. It is commonly used to build Big Data. In this process, data is pulled (extracted) from a source system, to […].

Big Data 360

Big Data Data Integration Data Science Publishing 360

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. In our world of Big Data, marketers no longer need to simply rely on their gut instincts to make marketing decisions.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

BizAcuity

MAY 4, 2021

In today’s data-powered world with data fueling everything from essential management systems to customer-focused AI solutions , one thing that often gets in the way is data fragmentation. . Why Data integration plays a vital role for gaming companies? Naturally, the player journey is segmented into six parts, .

Data Integration 40

Data Integration Cost-Benefit Optimization Behavioral Analytics 40

Information Builders

SEPTEMBER 29, 2015

Information Builders , a leader in business intelligence ( BI ) and analytics, information integrity, and integration solutions, today announced that its WebFOCUS BI and analytics platform and iWay Data Integration Suite were recipients of the Integrate + APR World 2015 awards.

Data Integration 53

Data Integration Analytics Business Intelligence IT 53

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 133

Data Analytics Diagnostic Analytics Management Analytics 133

Data Virtualization

JANUARY 19, 2023

Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Unfortunately, with data spread.

Data Analytics 52

Data Analytics Data Lake Data Warehouse Analytics 52

Analytics Vidhya

APRIL 29, 2022

Introduction Azure data factory (ADF) is a cloud-based ETL (Extract, Transform, Load) tool and data integration service which allows you to create a data-driven workflow. The data-driven workflow in ADF orchestrates and automates the data movement and data transformation.

Data-driven 277

Data-driven Data Transformation Data Integration Data Science 277

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? Definition.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

CIO Business Intelligence

APRIL 28, 2022

Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission. Particularly in Asia Pacific , revenues for big data and analytics solutions providers hit US$22.6bn in 2020 , with financial services companies ranking among their biggest clients.

Analytics 91

Analytics Insurance Big Data Uncertainty 91

Juice Analytics

MAY 11, 2020

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. That has to be the most boring term in all of analytics. It makes me wonder: Is reporting is the dark matter of analytics?

Reporting 115

Reporting Analytics IT Data Lake 115

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 311

Management Data Warehouse Data Quality Data Integration 311

Juice Analytics

AUGUST 27, 2020

How does Juice Analytics make you feel supported as a woman? Juice Analytics ensures that everyone feels supported and has the ability to lead with their whole selves. Juice Analytics is the first company I've worked for that acknowledges that children are not just logistical problems to be solved. Here was what they had to say.

Analytics 98

Analytics Testing Data Integration Technology 98

Smart Data Collective

APRIL 15, 2021

Set Up Data Integration. Data warehouses, a database that keeps the information in a processed and defined format, cannot connect directly to information sources, so data integration tools must process the raw data ahead of time to allow it to be usable.

Business Intelligence 97

Business Intelligence Analytics Statistics Data Warehouse 97