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 114

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 114

datapine

MARCH 31, 2022

After acquiring 3 to 5 years of experience, you can specialize in a specific technology or industry and work as an analyst, IT expert, or even go to the management side by working as a BI project manager. This could involve anything from learning SQL to buying some textbooks on data warehouses. Business Intelligence Job Roles.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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

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 117

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 117

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

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 Enterprise 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 104

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 104

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 112

Insurance Data Warehouse Manufacturing Forecasting 112

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

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

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

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 120

Cost-Benefit Internet of Things Data-driven Data Lake 120

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 140

Big Data Sales Marketing Software 140

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 125

Big Data Data Analytics Analytics Predictive Modeling 125

Cloudera

DECEMBER 20, 2022

This scenario suggests that in the not too distant future, there will be a large “long-tail” of producers that will have to be taken into account for any production forecasting model. That’s where data comes in. Investment is unavoidable, so the question becomes about smart investment.

Optimization 86

Optimization Data Analytics Analytics Cost-Benefit 86

FineReport

JULY 22, 2021

Business Intelligence(BI) is defined as the concept of using modern data warehouse technology, online analysis and processing technology, data mining and data display technology for data analysis to achieve business value. Dräger is an international pioneer in medical and safety technology.

Business Intelligence 52

Business Intelligence Sales Forecasting Marketing 52

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 57

Data Warehouse Data Lake Unstructured Data Optimization 57

Sisense

MARCH 14, 2021

IoT sensors on factory floors are constantly streaming data into cloud warehouses and other storage locations. These rapidly growing datasets present a huge opportunity for companies to glean insights like: Machine diagnostics, failure forecasting, optimal maintenance, and automatic repair parts ordering.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

IBM Big Data Hub

JULY 6, 2023

Data from various sources, collected in different forms, require data entry and compilation. That can be made easier today with virtual data warehouses that have a centralized platform where data from different sources can be stored. One challenge in applying data science is to identify pertinent business issues.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Jet Global

JULY 11, 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 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

IBM Big Data Hub

APRIL 19, 2023

Water technology companies worldwide provide innovative solutions to supply, conserve and protect water throughout the highly complex and technical water cycle of collection, treatment, distribution, reuse and disposal. This work involved creating a single set of definitions and procedures for collecting and reporting financial data.

Technology 81

Technology Forecasting Data Warehouse Reporting 81

Jet Global

DECEMBER 8, 2020

Power BI is not just a product you install and configure; it is a many-month-long software project built on a complicated mix of technology components. If your company is planning to implement Microsoft’s Power BI analytics platform , it is critically important that you understand the complexity involved with a complete implementation.

Finance 52

Finance Risk Reporting Software 52

AWS Big Data

MARCH 25, 2024

They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. FMs are multimodal; they work with different data types such as text, video, audio, and images. versions).

Data Lake 102

Data Lake Unstructured Data Management Snapshot 102

datapine

MAY 29, 2019

Business intelligence architecture is a term used to describe standards and policies for organizing data with the help of computer-based techniques and technologies that create business intelligence systems used for online data visualization , reporting, and analysis. One of the BI architecture components is data warehousing.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

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

Smarten

NOVEMBER 22, 2017

Fortunately, today’s new self-serve business intelligence solutions allow for ease-of-use, bringing together these varied techniques in a simple interface with tools that allow business users to utilize advanced analytics without the skill or knowledge of a data scientist, analyst or IT team member.

Analytics 40

Analytics IT Business Intelligence Visualization 40

Birst BI

AUGUST 27, 2019

Insights cannot be gathered fast enough, and no one is looking at the same numbers.The root of the problem is that data is spread across different systems – data warehouses, e-commerce, merchandising, planning and more. As a result, departments pull their own data independently and create their own version of performance.

Sales 40

Sales Key Performance Indicator Strategy Data Warehouse 40

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

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.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

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 113

Data Lake Analytics Data Warehouse Machine Learning 113

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 94

Data Architecture Optimization Data Warehouse Metadata 94

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 132

Visualization Key Performance Indicator Sales Advertising 132

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 128

Online Analytical Processing OLAP Analytics Data Warehouse 128

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

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 130

IT Business Intelligence Sales Key Performance Indicator 130

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 104

Dashboards Analytics Metadata Data Warehouse 104

IBM Big Data Hub

DECEMBER 7, 2023

This siloed approach often resulted in data redundancy and complexity, hampering integration with other business systems. In the 2010s, columnar OLAP (C-OLAP) and in-memory OLAP (IM-OLAP) technologies gained prominence. To build a robust OLAP system, it should provide accessibility regardless of location and data type.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57