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 86

Data Warehouse Experimentation Cost-Benefit Dashboards 86

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. Arun also illustrates some client use cases and talks about the impact numbers.

Forecasting 98

Forecasting Data Warehouse Manufacturing Machine Learning 98

Juice Analytics

FEBRUARY 6, 2021

Over a decade ago, this was a term we started using to express the challenges of the analytics (then: business intelligence) world. That’s a creaky and narrow bridge to rely on for the last mile of business intelligence. You can make a data product that is intuitive, friendly, simple, useful…but it still needs to be sold.

Analytics 59

Analytics Data Warehouse Data-driven Business Intelligence 59

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

AWS Big Data

JUNE 28, 2023

They can connect to multiple data streams and pull data directly into Amazon Redshift without staging it in Amazon Simple Storage Service (Amazon S3). After running analytics, the insights can be made available broadly across the organization with Amazon QuickSight , a cloud-native, serverless business intelligence service.

Analytics 69

Analytics Data Warehouse Data Lake Data-driven 69

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 Software Manufacturing Machine Learning 98

CIO Business Intelligence

SEPTEMBER 8, 2022

Few companies have the luxury of waiting days or weeks to analyze data before reacting. And in some industries — like healthcare, financial services, manufacturing, etc., — not having real-time data to make rapid critical adjustments can lead to catastrophic outcomes.” — Jack Gold ( @jckgld ), President and Principal Analyst at J.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

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 Digital Transformation 105

AWS Big Data

MARCH 10, 2023

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. Dimension-based models have been used extensively to build data warehouses.

Data Lake 105

Data Lake Sales Data Warehouse Snapshot 105

IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. Diagnostic analytics: Diagnostic analytics helps pinpoint the reason an event occurred.

Data Science 86

Data Science Data Analytics Prescriptive Analytics Analytics 86

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

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 Optimization 110

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 Data Warehouse Internet of Things Machine Learning 98

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

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

CIO Business Intelligence

APRIL 22, 2024

Infatti, Esposito sta lavorando sulla protezione dei vari impianti produttivi con una rete sicura per trasportare i dati verso il data warehouse centralizzato che li integra e che abilita la control room. Ma tutti gli elementi dell’IT concorrono a costruire una robusta cybersecurity, perché sono collegati tra loro.

Data Lake 105

Data Lake Testing Management IoT 105

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

FineReport

APRIL 11, 2023

In today’s fast-paced business environment, making informed decisions based on accurate and up-to-date information is crucial for achieving success. With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

Jet Global

JULY 11, 2019

Although it’s been around for decades, predictive analytics is becoming more and more mainstream, with growing volumes of data and readily accessible software ripe for transforming. In this blog post, we are going to cover the role of business intelligence in demand forecasting, an area of predictive analytics focused on customer demand.

Business Intelligence 72

Business Intelligence Forecasting Data Warehouse Predictive Analytics 72

CIO Business Intelligence

JUNE 7, 2022

AI strategists can also help organizations obtain the data they need to fuel AI effectively. The data that companies have inside their systems today or inside their data warehouses really only represents a fraction of what they will need to differentiate themselves when it comes to building AI capabilities,” he says. “A

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145

Sisense

OCTOBER 6, 2020

These programs and systems are great at generating basic visualizations like graphs and charts from static data. The challenge comes when the data becomes huge and fast-changing. Why is quantitative data important? Qualitative data benefits: Unlocking understanding. Qualitative data can go where quantitative data can’t.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

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.

Data Warehouse 103

Data Warehouse Analytics Snapshot Cost-Benefit 103

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 ). Manjeet Rege , Ph.D.,

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Jet Global

OCTOBER 1, 2019

Although it’s been around for decades, predictive analytics is becoming more and more mainstream, with growing volumes of data and readily accessible software ripe for transforming. In this blog post, we are going to cover the role of business intelligence in demand forecasting, an area of predictive analytics focused on customer demand.

Business Intelligence 40

Business Intelligence Forecasting Data Warehouse Predictive Analytics 40

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

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 83

Data Warehouse Visualization Snapshot Data-driven 83

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 116

Manufacturing Data Warehouse Sales Predictive Analytics 116

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. Having systems able to scale to handle the volumes of data to be analysed. Oil and Gas.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

IBM Big Data Hub

SEPTEMBER 19, 2022

Smart grids, which include components like sensors and smart meters, produce a wealth of telemetry data that can be used for multiple purposes, including: Identifying anomalies such as manufacturing defects or process deviations. Supply chain optimization (in manufacturing). Real-time operational dashboards.

IoT 52

IoT Analytics Data Warehouse Manufacturing 52

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 Digital Transformation Data Warehouse 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

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

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. Set up unified data governance rules and processes.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 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 Software Data Quality 130

Jet Global

JULY 29, 2020

Migrating to the more complex and expensive Oracle Business Intelligence Enterprise Edition (OBIEE). Oracle recommends that Oracle Discoverer users migrate to Oracle Business Intelligence Foundation Suite , which includes OBIEE. Data warehouse (and day-old data) – To use OBIEE, you may need to create a data warehouse.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

CIO Business Intelligence

AUGUST 2, 2022

“The strategy that we want to go forward with is self-service analytics: how can we empower users on the factory floor so that they don’t need to rely on a data scientist or analyst to get insights? I think that’s going to be an important step towards having more robust machine learning models as well.

Machine Learning 98

Machine Learning B2B Dashboards Measurement 98