AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 59

Data Warehouse Data Lake Unstructured Data Optimization 59

bridgei2i

APRIL 21, 2021

He elaborates how ERP technology was adopted in the early 70s based on the computational power available at that time. The 80s saw workflows being operationalized, and by the 90s, the advent of planning systems and demand forecasting systems had caused many advancements. Tune into the podcast here. Subscribe Now. Meet the Speaker.

Forecasting 98

Forecasting Data Warehouse Manufacturing Machine Learning 98

Sisense

DECEMBER 3, 2019

The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. The first wave of digital transformations saw a dramatic decrease in data storage costs. On-demand compute resources and MPP cloud data warehouses emerged. Optimize raw data using materialized views.

Analytics 90

Analytics Data Warehouse Digital Transformation Forecasting 90

Smart Data Collective

OCTOBER 13, 2021

There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. This is something that you can learn more about in just about any technology blog. We would like to talk about data visualization and its role in the big data movement.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

CIO Business Intelligence

FEBRUARY 15, 2024

“There are issues where regulatory obligations such as compliance make it easier to communicate the need for a technology solution and get investment from the board,” says CNR’s Puccinelli. But we also have our own internal data that objectively measures needs and results, and helps us communicate with top management.”

Strategy 134

Strategy Digital Transformation Cost-Benefit Forecasting 134

Smart Data Collective

DECEMBER 13, 2022

Technology is quickly becoming a critical component of our existence. Today, technology powers every important aspect of our life, from business to education to medicine. While most people are unfamiliar with these terms, investing in data analytics and visualization can mean the difference between success and failure.

Visualization 145

Visualization Key Performance Indicator Sales Advertising 145

Smart Data Collective

JUNE 16, 2022

Every data scientist needs to understand the benefits that this technology offers. Online analytical processing is a computer method that enables users to retrieve and query data rapidly and carefully in order to study it from a variety of angles. The data is processed and modified after it has been extracted. see more ).

Online Analytical Processing 139

Online Analytical Processing OLAP Analytics Data Warehouse 139

CIO Business Intelligence

JUNE 29, 2022

The recent announcement of the Microsoft Intelligent Data Platform makes that more obvious, though analytics is only one part of that new brand. Azure Data Factory. Azure Data Lake Analytics. Data warehouses are designed for questions you already know you want to ask about your data, again and again.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

CIO Business Intelligence

SEPTEMBER 26, 2023

The new platform would alleviate this dilemma by using machine learning (ML) algorithms, along with source data accessed by SAP’s Data Warehouse Cloud. The combination of the smart meter data and weather forecast information would provide a calculated load profile in real-time, driving solar power production for the near future.

Machine Learning 105

Machine Learning Forecasting Measurement Data Warehouse 105

Cloudera

FEBRUARY 8, 2021

This blog series follows the manufacturing, operations and sales data for a connected vehicle manufacturer as the data goes through stages and transformations typically experienced in a large manufacturing company on the leading edge of current technology. 1 The enterprise data lifecycle. Data Enrichment Challenge.

Manufacturing 118

Manufacturing Data Warehouse Sales Predictive Analytics 118

CIO Business Intelligence

JUNE 12, 2024

Throughout its digital journey, UK Power Networks has had to deal with the legacy technology landscape of three separate license areas and has built performance metrics, KPIs, and service level agreements (SLAs) to ensure reliability while advancing services and performance afforded by the cloud and connected data.

Digital Transformation 116

Digital Transformation Cost-Benefit Forecasting Metrics 116

Jet Global

OCTOBER 1, 2019

One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. By using a combination of data, statistical algorithms, and machine learning techniques, predictive analytics identifies the likelihood of future outcomes based on the past.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

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

Smart Data Collective

JULY 20, 2021

Big data technology is incredibly important in modern business. One of the most important applications of big data is with building relationships with customers. These software tools rely on sophisticated big data algorithms and allow companies to boost their sales, business productivity and customer retention. . #6

Big Data 142

Big Data Sales Marketing Software 142

CIO Business Intelligence

OCTOBER 13, 2022

Along with the proper technologies and tools, the right consulting partners can help accelerate transformation, specifically if they can together demonstrate deep and diverse expertise, modernization patterns, and industry-specific blueprints. Next stop: Migrating a complex forecasting module planned for later in 2022.

Insurance 115

Insurance Data Warehouse Manufacturing Forecasting 115

CIO Business Intelligence

DECEMBER 21, 2022

Stout, for instance, explains how Schellman addresses integrating its customer relationship management (CRM) and financial data. “A A lot of business intelligence software pulls from a data warehouse where you load all the data tables that are the back end of the different software,” she says. “Or

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

CIO Business Intelligence

SEPTEMBER 6, 2022

Behind the flagship brand, though, he says data remained scattered in siloes across many legacy business units and applications, with limited automation, many glossaries, and complex data lineage, and stewardship making it hard to govern and audit. Establishing a clear and unified approach to data. Where do we store it?

IT 98

IT Forecasting Data Lake Data Warehouse 98

CIO Business Intelligence

MAY 24, 2022

Data has always been fundamental to business, but as organisations continue to move to Cloud based environments coupled with advances in technology like streaming and real-time analytics, building a data driven business is one of the keys to success. There are many attributes a data-driven organisation possesses.

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

CIO Business Intelligence

FEBRUARY 16, 2023

The company’s orthodontics business, for instance, makes heavy use of image processing to the point that unstructured data is growing at a pace of roughly 20% to 25% per month. Advances in imaging technology present Straumann Group with the opportunity to provide its customers with new capabilities to offer their clients.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

AWS Big Data

SEPTEMBER 11, 2024

Through a commitment to cutting-edge technologies and a relentless pursuit of quality, HPE Aruba designed this next-generation solution as a cloud-based cross-functional supply chain workflow and analytics tool. The data sources include 150+ files including 10-15 mandatory files per region ingested in various formats like xlxs, csv, and dat.

Data Architecture 103

Data Architecture Optimization Data Warehouse Metadata 103

CIO Business Intelligence

JUNE 21, 2023

The Recipe for Growth has everything to do with how we run the business—the cloud and the underlying technology, how we deliver software and all the fundamental foundational capabilities that underpinned our strategy.” The base engine for the e-commerce and data warehouse is all custom code.

IT 94

IT B2B Digital Transformation Sales 94

Smart Data Collective

OCTOBER 17, 2022

This proliferation of data and the methods we use to safeguard it is accompanied by market changes — economic, technical, and alterations in customer behavior and marketing strategies , to mention a few. Cloud data warehouses provide various advantages, including the ability to be more scalable and elastic than conventional warehouses.

Big Data 119

Big Data Data-driven Recreation/Entertainment Data Governance 119

CIO Business Intelligence

SEPTEMBER 8, 2022

Gathering and processing data quickly enables organizations to assess options and take action faster, leading to a variety of benefits, said Elitsa Krumova ( @Eli_Krumova ), a digital consultant, thought leader and technology influencer. Nichol ( @PeterBNichol ), Chief Technology Officer at OROCA Innovations.

Cost-Benefit 122

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

datapine

NOVEMBER 11, 2021

Having flexible data integration is another important feature you should look for when investing in BI software for your business. The tool you choose should provide you with different storage options for your data such as a remote connection or being stored in a data warehouse. c) Join Data Sources. e) AI alerts.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

AWS Big Data

NOVEMBER 15, 2023

It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. The difference lies in when and where data transformation takes place. You might notice that this differs slightly from traditional ETL.

Dashboards 110

Dashboards Analytics Metadata Data Warehouse 110

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. Real-world Business Solutions The real value of any technology is measured by its impact on real-world problems.

Insurance 77

Insurance Data Warehouse Data-driven Unstructured Data 77

IBM Big Data Hub

MAY 9, 2023

Watsonx.data will allow users to access their data through a single point of entry and run multiple fit-for-purpose query engines across IT environments. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1]

Data Warehouse 72

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 72

AWS Big Data

FEBRUARY 1, 2023

This enabled the teams to generate the optimal plan to place purchase orders for devices by analyzing the different datasets in near-real time with appropriate business logic to solve the problems of the supply chain, demand, and forecast. Before the implementation of this system, one dataset took 1 month to onboard.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Jet Global

MAY 6, 2020

With licensing agreements, for instance, revenue must now be recognized upfront, making it difficult to compare current recent financial statements against past statements for the purposes of forecasting and strategic planning. Based on that lived experience, NetSuite optimized its product to simplify ASC 606 internally.

Forecasting 59

Forecasting Data Warehouse Software Reporting 59

IBM Big Data Hub

SEPTEMBER 19, 2023

The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets. Healthcare systems can also forecast which regions will experience a rise in flu cases or other infections. It can also be challenging to operationalize data analytics models.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CIO Business Intelligence

OCTOBER 10, 2022

The company also wanted to improve forecasting accuracy by harnessing the power of intelligent technologies. Achieve 10x faster-planning cycles despite having larger data volumes . FHCS integrated its landscape built on SAP ERP and SAP Business Warehouse with specialized forecasting in SAP Integrated Business Planning (IBP).

Enterprise 52

Enterprise Forecasting Descriptive Analytics Data Warehouse 52

AWS Big Data

FEBRUARY 20, 2024

To overcome these challenges, businesses need a solution that can provide near-real-time analytics on transactional data with services that don’t lead to latent processing and bloat from managing the pipeline. The elasticity of Kinesis Data Streams enables you to scale the stream up or down, so you never lose data records before they expire.

Visualization 120

Visualization Cost-Benefit Optimization B2B 120

Sisense

MAY 11, 2021

Here at Sisense, we think about this flow in five linear layers: Raw This is our data in its raw form within a data warehouse. We follow an ELT ( E xtract, L oad, T ransform) practice, as opposed to ETL, in which we opt to transform the data in the warehouse in the stages that follow.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

JULY 13, 2023

Altron is a pioneer of providing data-driven solutions for their customers by combining technical expertise with in-depth customer understanding to provide highly differentiated technology solutions. He has been leading the building of data warehouses and analytic solutions for the past 20 years.

Optimization 98

Optimization B2B Data Quality Sales 98