CIO Business Intelligence

JULY 18, 2022

We coordinate donations from manufacturers, retailers, grocers. We didn’t have basic things like a data warehouse. We want to be a data-first organization, and to really drive impact through insights, you need a centralized place to store and analyze the data.”. Driving change with better data reporting.

Data Warehouse 141

Data Warehouse Dashboards Reporting Manufacturing 141

FineReport

MARCH 21, 2020

Do you have the same problem with daily, weekly, or monthly reports? I summarized the problems typical with many daily, weekly, and monthly reports I have these years. . The process of data collection is time-consuming. Usually, the data is stored in Excel. Many report styles in the company are the same.

Reporting 91

Reporting Data Warehouse Manufacturing Enterprise 91

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

datapine

SEPTEMBER 27, 2022

Some of these ‘structures’ may include putting all the information; for instance, a structure could be about cars, placing them into tables that consist of makes, models, year of manufacture, and color. With a MySQL dashboard builder , for example, you can connect all the data with a few clicks. Viescas, Douglas J.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

AWS Big Data

FEBRUARY 12, 2024

Gupshup’s carrier-grade platform provides a single messaging API for 30+ channels, a rich conversational experience-building tool kit for any use case, and a network of emerging market partnerships across messaging channels, device manufacturers, ISVs, and operators. Save time and eliminate unnecessary processes.

Analytics 114

Analytics Data Warehouse Snapshot Cost-Benefit 114

Sisense

JANUARY 13, 2020

The modern manufacturing world is a delicate dance, filled with interconnected pieces that all need to work perfectly in order to produce the goods that keep the world running. In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing.

Manufacturing 52

Manufacturing Data Lake Data Warehouse Big Data 52

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Cloudera

NOVEMBER 12, 2020

At these times, they run business growth reports, shareholder reports, and financial reports for their earnings calls, to name a few examples. Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs.

Data Warehouse 105

Data Warehouse Reporting Risk Cost-Benefit 105

CIO Business Intelligence

SEPTEMBER 22, 2023

Data management platform definition A data management platform (DMP) is a suite of tools that helps organizations to collect and manage data from a wide array of first-, second-, and third-party sources and to create reports and build customer profiles as part of targeted personalization campaigns.

Management 105

Management Advertising Data Lake Sales 105

Cloudera

OCTOBER 4, 2023

Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. This real-time data, when captured and analyzed in a timely manner, may deliver tremendous business value.

Data Warehouse 92

Data Warehouse Experimentation Cost-Benefit Dashboards 92

CIO Business Intelligence

JUNE 13, 2022

I also started at SAP and began working on data warehousing there. When you focus on the data that you have in hospitals, all the patient details, it’s just massive, much more than in a retail company or a manufacturer. The starting point was XANTAS’ existing SAP-based clinical data warehouse named VISMEDICA.

Data Warehouse 98

Data Warehouse Manufacturing Software Machine Learning 98

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. Athena provides a simplified, flexible way to analyze petabytes of data where it lives.

Data Lake 116

Data Lake Sales Data Warehouse Snapshot 116

CIO Business Intelligence

MARCH 22, 2022

Consolidation creates a single source of truth on which to base decisions, actions, and reports. Which type(s) of storage consolidation you use depends on the data you generate and collect. . Another option is a data warehouse, which stores processed and refined data.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

CIO Business Intelligence

APRIL 14, 2022

DaaS vendors can also improve the quality of data that an organization might otherwise gather itself by correcting errors or filling in gaps and even provide big blocks of data should you need more. In this way, DaaS providers can improve your homegrown data warehouse by cross-fertilizing it with other, curated sources.

Enterprise 138

Enterprise Marketing Measurement Reporting 138

CIO Business Intelligence

DECEMBER 1, 2022

Now halfway into its five-year digital transformation, PepsiCo has checked off many important boxes — including employee buy-in, Kanioura says, “because one way or another every associate in every plant, data center, data warehouse, and store are using a derivative of this transformation.” billion in revenue.

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

Jedox

MAY 20, 2021

The process of sales and operations planning (S&OP) is one of the most important tasks for organizations in manufacturing. The problem with data silos in the planning process. In many manufacturing companies, large and small, sales reps and leaders regularly consolidate their data in a central spreadsheet.

Sales 98

Sales Forecasting Manufacturing Finance 98

Jet Global

JULY 11, 2019

As an essential component of supply chain planning, demand forecasting is used by manufacturers, distributors, and retailer to provide insight into their operations and to make informed, profitable decisions on pricing, inventory stock, resource optimization, and more. Data Consolidation. Learn more about data warehouses here.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

CIO Business Intelligence

JANUARY 8, 2024

Data management is another key priority for Cathay this year, as the company aims to consolidate data feeds and data repositories from its multiple data warehouses to better enable analytics in all applications, Nair says. This is helpful in an era in which airliners are having difficulty finding pilots to hire.

Optimization 119

Optimization Digital Transformation Cost-Benefit Data Warehouse 119

CIO Business Intelligence

MAY 24, 2022

Defining and using single data points for multiple purposes. Building a semantic layer describing unified business and reporting definitions. Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. zettabytes of data. Oil and Gas.

Data-driven 98

Data-driven Data Lake Data Warehouse IT 98

3AG Systems

JULY 23, 2020

Perhaps you’re feeling a little overwhelmed trying to run a manufacturing operation in an increasingly competitive, digital business landscape: perhaps you can’t get any, enough, or the right data from your factory floor; maybe none of your data systems talk to each other.

Data Warehouse 52

Data Warehouse Manufacturing Software Reporting 52

Jet Global

JUNE 5, 2019

The path to doing so begins with the quality and volume of data they are able to collect. Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Juice Analytics

FEBRUARY 6, 2021

We highlight how many organization struggled to bridge the gap between their data investments and the minds and actions of decision-makers: This critical bridge between data warehouses and communication of insights to decision-makers is often weak or missing. But how about my reporting interface?” you wonder.

Analytics 59

Analytics Data Warehouse Data-driven Business Intelligence 59

AWS Big Data

NOVEMBER 15, 2023

Bayerische Motoren Werke AG (BMW) is a motor vehicle manufacturer headquartered in Germany with 149,475 employees worldwide and the profit before tax in the financial year 2022 was € 23.5 BMW Group is one of the world’s leading premium manufacturers of automobiles and motorcycles, also providing premium financial and mobility services.

Dashboards 107

Dashboards Analytics Metadata Data Warehouse 107

AWS Big Data

JUNE 28, 2023

When data is used to improve customer experiences and drive innovation, it can lead to business growth. times more likely than beginners to report at least 20% revenue growth. However, to realize this growth, managing and preparing the data for analysis has to get easier.

Analytics 77

Analytics Data Warehouse Data Lake Data-driven 77

Cloudera

JUNE 7, 2021

We believe this new capability will unlock net new capabilities for use cases in IoT, Finance, Manufacturing and more. This gives customers the ability to create unique ETL flows, real-time data warehousing, and create valuable feeds of data without massive infrastructure redesign. Reading and enriching with batch data.

Analytics 65

Analytics Manufacturing Measurement IoT 65

Cloudera

MAY 12, 2021

In light of a year of unprecedented disruptions, where data has never been so important, and to reflect on the rapidly advancing world of data-led digital transformation, we are excited to announce this year’s 7 categories: DATA LIFECYCLE CONNECTION. DATA FOR GOOD. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 71

Digital Transformation Machine Learning Optimization Data Lake 71

Sisense

OCTOBER 6, 2020

All descriptive statistics can be calculated using quantitative data. It’s analyzed through numerical comparisons and statistical inferences and is reported through statistical analyses. That’s because qualitative data is concerned with understanding the perspective of customers, users, or stakeholders.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Laminar Security

DECEMBER 13, 2023

This is further exacerbated by the employment of outdated processes or solutions that are ill-equipped to cater to the demands of present-day cloud data security. Traditional methods of data management are no longer sufficient for handling the vast and complex data landscape.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

CIO Business Intelligence

OCTOBER 10, 2022

FHCS integrated its landscape built on SAP ERP and SAP Business Warehouse with specialized forecasting in SAP Integrated Business Planning (IBP). This enabled the company to generate simulations, planning, and reporting solutions based on SAP Analytics Cloud. Save significant time with reporting automation .

Enterprise 52

Enterprise Forecasting Descriptive Analytics Data Warehouse 52

Jet Global

OCTOBER 1, 2019

As an essential component of supply chain planning, demand forecasting is used by manufacturers, distributors, and retailer to provide insight into their operations and to make informed, profitable decisions on pricing, inventory stock, resource optimization, and more. Data Consolidation. Learn more about data warehouses here.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

IBM Big Data Hub

OCTOBER 12, 2023

So, the greater the visibility and control an organization has over its AI models now, the better prepared it will be for whatever AI and data regulations are coming around the corner. Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76

IBM Big Data Hub

AUGUST 1, 2023

Instead of spending time and effort on training a model from scratch, data scientists can use pretrained foundation models as starting points to create or customize generative AI models for a specific use case. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks.

Modeling 55

Modeling Cost-Benefit Machine Learning Data Lake 55

Cloudera

SEPTEMBER 12, 2018

Toshiba Memory Corporation is revolutionizing flash memory semiconductor manufacturing using Cloudera to detect defective parts earlier in the manufacturing process and identify the root cause of defects several times faster. Modern Data Warehousing: Barclays (nominated together with BlueData ).

Machine Learning 46

Machine Learning Big Data Data Science Data Warehouse 46

FineReport

APRIL 11, 2023

Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders. BI dashboards typically display a variety of data visualizations to give users a comprehensive view of relevant KPIs and trends for both strategic planning and operational decision-making.

Dashboards 40

Dashboards Business Intelligence Metrics Cost-Benefit 40

Ontotext

MARCH 8, 2023

As such, most large financial organizations have moved their data to a data lake or a data warehouse to understand and manage financial risk in one place. Yet, the biggest challenge for risk analysis continues to suffer from lack of a scalable way of understanding how data is interrelated.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

Data Warehouse 103

Data Warehouse Snapshot Testing Management 103

datapine

AUGUST 29, 2022

Awarded the “best specialist business book” at the 2022 Business Book Awards, this publication guides readers in discovering how companies are harnessing the power of XR in areas such as retail, restaurants, manufacturing, and overall customer experience. to describe how companies can combine traditional analytics with a big data approach.

Big Data 263

Big Data Data Analytics Analytics Data mining 263