O'Reilly on Data

FEBRUARY 4, 2019

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Data Platforms. Temporal data and time-series.

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

AWS Big Data

MARCH 29, 2024

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization. QuickSight lets you perform aggregate calculations on metrics for deeper analysis.

Metrics 109

Metrics Visualization Dashboards Interactive 109

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence analyst job description A typical day for BI analysts includes collecting data from sources such as industry reports, public information, field reports, or purchased findings; analyzing data to identify trends; and sharing it with the proper stakeholders.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

FineReport

JUNE 11, 2021

Business intelligence and analytics (BI&A) and the related field of big data analytics have emerged as an increasingly important area in the business communities. Note: the reports and dashboards samples used here are made with FineReport. Here I also put some reports and dashboards developed by FineReport.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

AWS Big Data

NOVEMBER 20, 2023

For any modern data-driven company, having smooth data integration pipelines is crucial. These pipelines pull data from various sources, transform it, and load it into destination systems for analytics and reporting. About the Authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Metrics 99

Metrics Data Lake Cost-Benefit Dashboards 99

IBM Big Data Hub

JUNE 29, 2023

Integrated Business Planning (IBP) addresses these challenges by providing a comprehensive framework that integrates strategic, operational and financial planning, analysis, and reporting to drive better business outcomes. Data integration and analytics IBP relies on the integration of data from different sources and systems.

Key Performance Indicator 80

Key Performance Indicator Forecasting Data Integration Sales 80

AWS Big Data

OCTOBER 20, 2023

Regarding the Azure Data Lake Storage Gen2 Connector, we highlight any major differences in this post. AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning, and application development.

Data Lake 87

Data Lake Big Data Consulting Data Warehouse 87

CIO Business Intelligence

JUNE 7, 2022

Data analytics and data science are closely related. Data analytics and data science are closely related. Data analytics is a component of data science, used to understand what an organization’s data looks like. Generally, the output of data analytics are reports and visualizations.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

APRIL 28, 2022

Its success is one of many instances illustrating how the financial services industry is quickly recognizing the benefits of data analytics and what it can offer, especially in terms of risk management automation, customized experiences, and personalization. . compounded annual growth from 2019 to 2024. .

Analytics 95

Analytics Insurance Big Data Uncertainty 95

Smart Data Collective

NOVEMBER 24, 2020

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Below we break down the latest trends in business intelligence.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

Octopai

JUNE 26, 2020

Why aren’t the numbers in these reports matching up? We’re dealing with data day in and day out, but if isn’t accurate then it’s all for nothing!” In a panic, he went from desk to desk asking his teammates if they had been working on the same reports that day. They deal with tens if not hundreds of reports each day….

Metadata 84

Metadata Data Governance Enterprise Reporting 84

Alation

FEBRUARY 13, 2020

IDC Innovators: Data Intelligence Software Platforms, 2019 Report. In the latest IDC Innovators: Data Intelligence Software Platforms, 2019 3 report, Alation was profiled as one vendor disrupting the data integration and integrity software market with a differentiated data intelligence software platform.

Machine Learning 52

Machine Learning Big Data Data Governance Digital Transformation 52

Smart Data Collective

APRIL 20, 2020

According to a new study called Global Big Data Analytics in the Energy Sector Market, provides a comprehensive look at the industry. The uncertainty comes with a major market shift, the dimensions of data software cannot be ignored. This goes for nearly everyone, but the energy sector is being greatly impacted by the virus.

Forecasting 95

Forecasting Uncertainty Big Data Marketing 95

Smart Data Collective

APRIL 15, 2021

Business Intelligence uses methods and tools like machine learning to take massive, unstructured swaths of data and turn them into easy-to-use reports. Because employees of many different departments will be involved in managing the data in business intelligence, everyone needs to be on the same page before moving forward.

Business Intelligence 97

Business Intelligence Analytics Statistics Data Warehouse 97

erwin

JANUARY 24, 2019

In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. It also can populate and maintain Big Data sets by generating PIG, Scoop, MapReduce, Spark, Python scripts and more.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

CIO Business Intelligence

MARCH 24, 2023

A framework for managing data 10 master data management certifications that will pay off Big Data, Data and Information Security, Data Integration, Data Management, Data Mining, Data Science, IT Governance, IT Governance Frameworks, Master Data Management

Data Governance 142

Data Governance Management Metadata Data Quality 142

Smart Data Collective

JUNE 1, 2022

Data breaches are becoming more common than ever. The International Association of Privacy Professionals reports that there were 1,862 data breaches in 2021 alone. Organizations must make data security a top priority. Those that do not risk bankruptcy, as the costs of data breaches are horrifying.

Revenue Optimization 139

Revenue Optimization Measurement Marketing Interactive 139

Smart Data Collective

FEBRUARY 14, 2023

The gaming industry is among those most affected by breakthroughs in data analytics. A growing number of gaming developers are utilizing big data to make their content more engaging. It is no wonder these companies are leveraging big data, since gamers produce over 50 terabytes of data a day. Absolutely.

Big Data 117

Big Data Data Analytics Analytics Testing 117

AWS Big Data

JULY 19, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning, and application development. Conclusion In this post, we showed how to use AWS Glue and the new connector for ingesting data from Google Cloud Storage to Amazon S3.

Big Data 85

Big Data Software Consulting Unstructured Data 85

IBM Big Data Hub

JULY 12, 2023

Inconsistent Processes: Due to the non-homogeneous nature of acquired systems, GKN Aerospace relied on Excel-based templates to transfer data from ERPs to the mandated corporate reporting software. This manual process often led to errors and delays.

Manufacturing 63

Manufacturing Finance Sales Cost-Benefit 63

erwin

APRIL 27, 2022

In data warehousing, the data is extracted and transported from production database(s) into a data warehouse for reporting and analysis. Change Data Capture identifies and processes only the data that has changed and stores the changed data in a form so as to be of further use.

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

FineReport

JUNE 11, 2021

Business intelligence and analytics (BI&A) and the related field of big data analytics have emerged as an increasingly important area in the business communities. Note: the reports and dashboards samples used here are made with FineReport. Here I also put some reports and dashboards developed by FineReport.

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

BizAcuity

MAY 16, 2022

To stay relevant in the market and to increase brand awareness, organizations use big data analytics and business intelligence to navigate their way after getting a full understanding of their ideal customers and their behavior before and during the buying journey. So, make sure you have a data strategy in place.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

AWS Big Data

JUNE 27, 2023

Modernized analytics and reporting At iostudio, we faced the challenge of modernizing our government client’s static recruitment marketing analytics solution. Our client had previously been using a data integration tool called Pentaho to get data from different sources into one place, which wasn’t an optimal solution.

Metrics 98

Metrics Dashboards Interactive Visualization 98

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 66

Data Quality Data Integration Metadata Cost-Benefit 66

IBM Big Data Hub

MARCH 25, 2024

As described in the IBM Institute for Business Value study, an ad hoc “Frankenstein” like system that engages a variety of platforms and tools, can turn to a consolidated system and operating model to meet the increasing demand for more and more data integration, content generation, and intelligent automation.

Uncertainty 101

Uncertainty Cost-Benefit Risk Measurement 101

Rocket-Powered Data Science

JULY 6, 2021

Contextual TAM includes semantic TAM, taxonomic indexing, and even usage-based tags (digital breadcrumbs of the users of specific pieces of content, including the key words and phrases that people used to describe the content in their own reports). Adding these to your organization’s content makes the CMS semantically searchable and usable.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

AWS Big Data

FEBRUARY 7, 2023

This post focuses on such schema changes in file-based tables and shows how to automatically replicate the schema evolution of structured data from table formats in databases to the tables stored as files in cost-effective way. AWS DMS almost instantly picks up the schema changes and reports to the raw bucket.

Data Lake 75

Data Lake Testing Big Data Structured Data 75

IBM Big Data Hub

JUNE 23, 2022

The ability to compose and re-use data services with IBM’s data fabric on IBM Cloud Pak for Data allows you to tackle a variety of use cases such as multi-cloud data integration, governance and privacy, customer 360, and MLOps and Trustworthy AI. However, we’re working to narrow that gap as much as possible.

Enterprise 52

Enterprise Metadata Data Governance Machine Learning 52

Cloudera

FEBRUARY 11, 2019

The Magic Quadrant (MQ) is an established, widely-referenced series of research reports published by the analyst firm Gartner, Inc. The January 2019 “Magic Quadrant for Data Management Solutions for Analytics” provides valuable insights into the status, direction, and players in the DMSA market.

Management 43

Management Metadata Analytics Machine Learning 43

erwin

DECEMBER 12, 2019

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Sisense

JANUARY 14, 2021

The team at Billie was willing to do whatever it took to make sure users had high-quality reports they could trust. However, the methods they had at their disposal initially couldn’t keep up with their growing user base and the ever-evolving world of big data. He works on reporting, analysis, and data modeling.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

IBM Big Data Hub

JANUARY 11, 2024

Some enterprises tolerate zero RPO by constantly performing data backup to a remote data center to ensure data integrity in case of a massive breach. Reduced costs: According to IBM’s recent Cost of Data Breach Report , the average cost of a data breach last year was USD 4.45

Cost-Benefit 98

Cost-Benefit Risk Enterprise Software 98

IBM Big Data Hub

MAY 9, 2022

These use cases provide a foundation that delivers a rich and intuitive data shopping experience. This data marketplace capability will enable organizations to efficiently deliver high quality governed data products at scale across the enterprise. Multicloud data integration.

Management 56

Management Data Quality Metadata Data Integration 56

IBM Big Data Hub

JULY 26, 2023

They provide flexibility in organizing budget data, performing calculations, and generating reports. These tools provide a centralized platform for top-down and bottom-up budgeting creation, collaboration, scenario modeling, data integration, and reporting.

Cost-Benefit 58

Cost-Benefit Optimization Visualization Data-driven 58

IBM Big Data Hub

SEPTEMBER 6, 2023

Why budgeting feels like a marathon Just like marathon training takes months of preparation, crafting a budget involves a lot of data collection, metrics analysis, resource allocation and collaboration. This data helps us understand earlier trends and is vital for making a realistic budget.

Forecasting 86

Forecasting Marketing Risk Sales 86