CIO Business Intelligence

AUGUST 2, 2023

What are some examples of data solutions in each of those buckets? In the back office, a very exciting area for us is the manufacturing space. we’re putting sensors across our manufacturing processes, which give us vast sums of data our leaders use to rethink those processes. But with the advent of Industry 4.0,

Manufacturing 98

Manufacturing Data Architecture Strategy Data Strategy 98

CIO Business Intelligence

JULY 26, 2023

The residential real estate industry may not be perceived to be as digitally aggressive as Wall Street titans and multinational manufacturing conglomerates. Re/Max’s Ligon acknowledges the real estate vertical is tough to track because it is fragmented, with each state reporting to its own Board of Realtors. billion in 2022.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

Cloudera

APRIL 4, 2022

A critical success factor for the future is the recognition that data and analytics cannot be an afterthought and a thorough, strategic data strategy is critical to support innovation within the industry. The usage of data lakes and automation are helping facilitate the data sharing and collaboration across the healthcare ecosystem.

Data Lake 81

Data Lake Digital Transformation Manufacturing Sales 81

CIO Business Intelligence

OCTOBER 18, 2023

According to C3, sugar producer Pantaleon is using C3 Gen AI to supplement sales forecasting, while Georgia-Pacific is using it for manufacturing process knowledge. Lastly, we tapped into our data lake to enrich and tailor specific customer emails to drive the conviction of our products and ultimately increased sales.

Risk 141

Risk Manufacturing Enterprise Technology 141

Cloudera

DECEMBER 11, 2020

Without meeting GxP compliance, the Merck KGaA team could not run the enterprise data lake needed to store, curate, or process the data required to inform business decisions. It established a data governance framework within its enterprise data lake. Driving innovation with secure and governed data .

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

CIO Business Intelligence

JANUARY 10, 2024

Automation is also paramount here, says the CIO at a major Europe-based manufacturer who asked that his name and company not be used. “We For example, if a cloud vendor hosts a data lake that requires operational technology data to synchronize and feed back into a decision algorithm on the production line, we measure latency.

Cost-Benefit 124

Cost-Benefit Measurement Optimization Metrics 124

BI-Survey

DECEMBER 17, 2018

A lack of professional (54 percent) and technical (50 percent) know-how top the list of challenges to Hadoop implementations in BARC’s ‘Hadoop and Data Lakes’ survey. A lack of know-how to use new findings from data research (50 percent) was more frequently viewed as a challenge in Europe.

Data Lake 40

Data Lake Manufacturing Finance Reporting 40

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 69

Analytics Data Warehouse Data Lake Data-driven 69

CIO Business Intelligence

DECEMBER 1, 2022

The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics. We expect within the next three years, the majority of our applications will be moved to the cloud.” billion in revenue.

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

Jedox

DECEMBER 28, 2021

According to a recent McKinsey report, automation and AI-based solutions will bring higher productivity, improved business performance, and a greater need for new skill sets. Increasing collaboration will come into sharper focus, but it means much more than just asking your colleague in Finance to work together on a new budget report.

Digital Transformation 97

Digital Transformation Finance Machine Learning Forecasting 97

CIO Business Intelligence

MAY 12, 2022

Predictive analytics tools blend artificial intelligence and business reporting. Anyone who works in manufacturing knows SAP software. The tool builds heavily on business intelligence and reporting by treating predictions as just another column in the analytics presentation. What are predictive analytics tools?

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

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. A popular category last year, and no doubt this year too.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

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

CIO Business Intelligence

JANUARY 30, 2024

Corporate ESG reporting is getting real for companies around the globe. Enacted and proposed regulations in the EU, US, and beyond are deepening reporting requirements in an effort to change business behavior. The foundation for ESG reporting, of course, is data. The foundation for ESG reporting, of course, is data.

Reporting 115

Reporting Data Quality Strategy Data-driven 115

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. For example, the bank from our example might have separate destination data lakes for their perpetual and periodic workloads to support addressing these VIP workloads separately.

Data Warehouse 104

Data Warehouse Reporting Risk Cost-Benefit 104

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

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 Data-driven 52

CIO Business Intelligence

JULY 8, 2022

We were just starting on our data journey.”. As was the case for most manufacturers, supply chain issues quickly materialized for Wolverine in the early days of the pandemic, with lead times for shoes doubling, in part because getting materials across borders had become arduous. “The For Wolverine Worldwide, COVID-19 proved the point.

Data Lake 119

Data Lake Manufacturing Digital Transformation Machine Learning 119

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. Incremental analytics is the main reason for Gupshup to use Redshift.

Data Warehouse 101

Data Warehouse Analytics Snapshot Cost-Benefit 101

AWS Big Data

AUGUST 2, 2023

Estimated Carbon Footprint = Amount of money spent on truck transport * Emission Factor [1] Although these computations are very easy to make from general ledgers or other financial records, they are most valuable for initial estimates or for reporting minor sources of greenhouse gases.

Data Lake 72

Data Lake Measurement Visualization Data Architecture 72

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

CIO Business Intelligence

JUNE 9, 2022

A data management platform (DMP) is a group of tools designed to help organizations collect and manage data from a wide array of sources and to create reports that help explain what is happening in those data streams. Deploying a DMP can be a great way for companies to navigate a business world dominated by data.

Management 144

Management Advertising Data Lake Sales 144

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 56

Modeling Cost-Benefit Data Lake Machine Learning 56

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. New data scientists can then be onboarded more easily and efficiently.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

DataKitchen

OCTOBER 11, 2021

The delays impact delivery of the reports to senior management, who are responsible for making business decisions based on the dashboard. The automated orchestration published the data to an AWS S3 Data Lake. I use the business rules I received from the business analyst to process the source data using Python.

Testing 152

Testing Metadata Dashboards Statistics 152

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 Cost-Benefit Metrics 40

CIO Business Intelligence

MARCH 22, 2022

This investigation will help you identify the organizational and infrastructure changes needed to open up data access across the company. . Consolidate data . Consolidation creates a single source of truth on which to base decisions, actions, and reports.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

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 77

Cost-Benefit Metadata Data Governance Modeling 77

AWS Big Data

FEBRUARY 27, 2023

Some organizations would like to have a data sharing platform where they can establish a collaborative and strategic approach to exchange data with a restricted group of companies in a closed, secure, and exclusive environment. Legal and audit groups may want to share reports and statements with the auditing agencies.

Enterprise 85

Enterprise Publishing Data Lake Management 85

Alation

FEBRUARY 13, 2020

During his tenure as CEO, he sought to transform Gibson from a guitar manufacturer into a “music lifestyle brand.” Today a cross functional, cross organizational team meets weekly to define and describe a business glossary that makes customer data more easy to interpret by any employee.

Digital Transformation 59

Digital Transformation Insurance Data-driven Machine Learning 59

Cloudera

JUNE 4, 2018

With over 1 PB of research data stored in a variety of systems (Documentum, Window and Unix file shares, and SharePoint) and a wide range of content types (internal reports, emails, research documents, electronic lab notes, drug profiles, clinical trials, regulatory reports, images, etc.), compliance reporting.

Unstructured Data 46

Unstructured Data Metadata Big Data Enterprise 46

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

Cloudera

JUNE 16, 2022

Organizations are increasingly building low-latency, data-driven applications, automations, and intelligence from real-time data streams. Cloudera Stream Processing (CSP) enables customers to turn streams into data products by providing capabilities to analyze streaming data for complex patterns and gain actionable intel.

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

Cloudera

MAY 3, 2021

In 2020, a McKinsey study reported that “Industry 4.0 Contrast this with the skills honed over decades for gaining access, building data warehouses, performing ETL, creating reports and/or applications using structured query language (SQL). Benefits of Streaming Data for Business Owners. trillion in value by 2025.”,

Cost-Benefit 103

Cost-Benefit Digital Transformation Data Lake Enterprise 103

Andrew White

JANUARY 11, 2021

What is unique about the D&A Leadership Vision is that it crossed over into business since for many organizations, the CDO reports into the CEO or COO (as examples). The fill report is here: Leadership Vision for 2021: Data and Analytics. CAO, and even where the CAO reports into a different organization.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52