Cloudera

JANUARY 20, 2021

Consider that Manufacturing’s Industry Internet of Things (IIOT) was valued at $161b with an impressive 25% growth rate, the Connected Car market will be valued at $225b by 2027 with a 17% growth rate, or that in the first three months of 2020, retailers realized ten years of digital sales penetration in just three months.

Digital Transformation 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

Cloudera

FEBRUARY 8, 2021

You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. The first blog introduced a mock connected vehicle manufacturing company, The Electric Car Company (ECC), to illustrate the manufacturing data path through the data lifecycle. 1 The enterprise data lifecycle.

Manufacturing 118

Manufacturing Data Warehouse Sales Predictive Analytics 118

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 Big Data Data Warehouse 52

CIO Business Intelligence

NOVEMBER 25, 2022

Today, more than 90% of its applications run in the cloud, with most of its data is housed and analyzed in a homegrown enterprise data warehouse. Like many CIOs, Carhartt’s top digital leader is aware that data is the key to making advanced technologies work. Today, we backflush our data lake through our data warehouse.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

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

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

CIO Business Intelligence

JUNE 9, 2022

Marketing-focused or not, DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein. The brand name may be more familiar as a streaming video device manufacturer, but Roku also places ads.

Management 144

Management Advertising Data Lake Sales 144

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 119

Analytics Data Warehouse Snapshot Cost-Benefit 119

CDW Research Hub

JULY 18, 2022

While many organizations understand the business need for a data and analytics cloud platform , few can quickly modernize their legacy data warehouse due to a lack of skills, resources, and data literacy. Overall data architecture and strategy. Use case priority and workload identifications.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

CIO Business Intelligence

AUGUST 26, 2024

In sectors like finance, healthcare, and manufacturing, AI-driven solutions have already proven their worth by optimizing supply chains, improving risk management, and enhancing customer service. These capabilities are undeniably valuable. But then what?

Data-driven 114

Data-driven Manufacturing Data Warehouse Cost-Benefit 114

bridgei2i

APRIL 21, 2021

The 2000s saw data warehouses being created and used as business intelligence picked up. In the current landscape, supply chains are an outcome of big data, machine learning and artificial technologies. He elaborates how ERP technology was adopted in the early 70s based on the computational power available at that time.

Forecasting 98

Forecasting Data Warehouse Manufacturing Machine Learning 98

Cloudera

MAY 28, 2024

Behind every business decision, there’s underlying data that informs business leaders’ actions. Modern data architectures deliver key functionality in terms of flexibility and scalability of data management.

Data Architecture 88

Data Architecture Data Lake Data Warehouse Cost-Benefit 88

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

Your sunk costs are minimal and if a workload or project you are supporting becomes irrelevant, you can quickly spin down your cloud data warehouses and not be “stuck” with unused infrastructure. Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs.

Data Warehouse 104

Data Warehouse Reporting Risk Cost-Benefit 104

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

CIO Business Intelligence

MARCH 22, 2022

One option is a data lake—on-premises or in the cloud—that stores unprocessed data in any type of format, structured or unstructured, and can be queried in aggregate. 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

NOVEMBER 4, 2022

When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5 billion company’s scientific, commercial, and manufacturing businesses since joining the company in 2014. That’s hard to do when you have 30 years of data.”

Data Lake 124

Data Lake IT Experimentation Data-driven 124

CIO Business Intelligence

OCTOBER 19, 2022

“So, at Zebra, we created a hub-and-spoke model, where the hub is data engineering and the spokes are machine learning experts embedded in the business functions. We kept the data warehouse but augmented it with a cloud-based enterprise data lake and ML platform.

IT 124

IT Data Warehouse Digital Transformation Risk 124

CIO Business Intelligence

SEPTEMBER 22, 2023

DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein. Roku OneView The brand name may be more familiar as a streaming video device manufacturer, but Roku also places ads.

Management 105

Management Advertising Data Lake Sales 105

CIO Business Intelligence

MARCH 9, 2022

Some examples include: Customer 360 analytics, retail inventory and sales analysis, manufacturing operational analysis, eCommerce fraud prevention, network security intelligence, data warehouse consolidation and discount pricing optimization.

Data-driven 110

Data-driven Analytics Machine Learning Deep Learning 110

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 89

Data Warehouse Experimentation Cost-Benefit Dashboards 89

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 96

Sales Forecasting Manufacturing Finance 96

AWS Big Data

MARCH 18, 2024

Load generic address data to Amazon Redshift Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Redshift Serverless makes it straightforward to run analytics workloads of any size without having to manage data warehouse infrastructure.

Data Warehouse 110

Data Warehouse Visualization Snapshot Data-driven 110

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.”

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

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. Dimension-based models have been used extensively to build data warehouses.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

CIO Business Intelligence

OCTOBER 13, 2022

The solutions, some in pilot stage and others in early development, transcend a variety of core industries, including manufacturing, financial services, healthcare, and transportation. Working with AWS and IBM, United created and scaled a data warehouse using Amazon Redshift, an off-the-shelf service that manages terabytes of data with ease.

Insurance 115

Insurance Data Warehouse Manufacturing Forecasting 115

CIO Business Intelligence

DECEMBER 22, 2022

DataOps teams also seek to orchestrate data, tools, code, and environments from beginning to end, with the aim of providing reproducible results. Such teams tend to view analytic pipelines as analogous to lean manufacturing lines and regularly reflect on feedback provided by customers, team members, and operational statistics.

Analytics 130

Analytics Machine Learning Data mining Software 130

CIO Business Intelligence

MAY 16, 2022

The advent of distributed workforces, smart devices, and internet-of-things (IoT) applications is creating a deluge of data generated and consumed outside of traditional centralized data warehouses. How edge refines data strategy.

IoT 98

IoT Internet of Things Data Warehouse Machine Learning 98

CIO Business Intelligence

MAY 24, 2022

The survey found the mean number of data sources per organisation to be 400, and more than 20 percent of companies surveyed to be drawing from 1,000 or more data sources to feed business intelligence and analytics systems. However, more than 99 percent of respondents said they would migrate data to the cloud over the next two years.

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

Sisense

MARCH 27, 2019

To provide real-time data, these platforms use smart data storage solutions such as Redshift data warehouses , visualizations, and ad hoc analytics tools. This allows dashboards to show both real-time and historic data in a holistic way.

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

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

AWS Big Data

JUNE 28, 2023

Another example of AWS’s investment in zero-ETL is providing the ability to query a variety of data sources without having to worry about data movement. Data analysts and data engineers can use familiar SQL commands to join data across several data sources for quick analysis, and store the results in Amazon S3 for subsequent use.

Analytics 91

Analytics Data Warehouse Data Lake Data-driven 91

Cloudera

JUNE 11, 2024

Structured and Unstructured Data: A Treasure Trove of Insights Enterprise data encompasses a wide array of types, falling mainly into two categories: structured and unstructured. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

Enterprise 93

Enterprise Unstructured Data Contextual Data Data-driven 93

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 111

Dashboards Analytics Metadata Data Warehouse 111

AWS Big Data

AUGUST 6, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it straightforward and cost-effective to analyze your data. This empowers data analysts and developers to incorporate ML into their data warehouse workflows with streamlined processes driven by familiar SQL commands.

Data Warehouse 100

Data Warehouse Data-driven Modeling Internet of Things 100

Jet Global

JULY 29, 2020

While it has many advantages, it’s not built to be a transactional reporting tool for day-to-day ad hoc analysis or easy drilling into data details. Data warehouse (and day-old data) – To use OBIEE, you may need to create a data warehouse. But does OBIEE stack up? Disadvantages of OBIEE.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98