Cloudera

DECEMBER 20, 2022

In this respect, several studies project that a proper use of advanced analytics implies savings of between 5% and 7.5%. 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.

Optimization 81

Optimization Data Analytics Analytics Cost-Benefit 81

CIO Business Intelligence

SEPTEMBER 26, 2023

As the company conceptualized the best measuring solution, planners understood the importance of integrating existing data from diverse sources. The new platform would alleviate this dilemma by using machine learning (ML) algorithms, along with source data accessed by SAP’s Data Warehouse Cloud.

Machine Learning 94

Machine Learning Forecasting Measurement Data Warehouse 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 107

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 107

datapine

MARCH 31, 2022

Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

FEBRUARY 16, 2023

Hence the drive to provide ML as a service to the Data & Tech team’s internal customers. All they would have to do is just build their model and run with it,” he says. That step, primarily undertaken by developers and data architects, established data governance and data integration. The offensive side?

Unstructured Data 100

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 100

Jedox

APRIL 8, 2021

It also needs to be based on insights from data. Effective decision-making must be based on data analysis, decisions (planning) and the execution and evaluation of the decisions and its impact (forecasting). Traditional” data is being created in operational systems such as ERP, CRM, HCM and similar or related systems.

Business Intelligence 89

Business Intelligence IT Forecasting Data Warehouse 89

CIO Business Intelligence

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company.

Digital Transformation 122

Digital Transformation IoT Data-driven KPI 122

Cloudera

FEBRUARY 28, 2019

The company is disrupting the grocery industry using an innovative delivery model and deep customer insights. In any subscription model business, customer retention is vital as profitability can quickly erode with rapid customer turnover and high customer acquisition costs. Kai von Grambusch, Director, Data & Analytics, HelloFresh.

Data Warehouse 56

Data Warehouse Forecasting Data-driven Dashboards 56

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions.

Data Lake 89

Data Lake Unstructured Data Management Modeling 89

CIO Business Intelligence

JUNE 21, 2023

The base engine for the e-commerce and data warehouse is all custom code. Using analytics from Salesforce and Tealium, as well as historical ordering data from each customer, Sysco’s goal is to continue making custom recommendations, offer more self-service tools and, with AI, a more refined product mix recommendation.

IT 65

IT B2B Digital Transformation Sales 65

CIO Business Intelligence

MARCH 16, 2022

We are all familiar with the EMR (electronic medial records) adoption and maturity models designed by HIMSS (Healthcare Information and Management Systems Society). But honestly speaking, there exists no unique maturity model which measures the degree of digital transformation. CIO Middle East: Data Analytics is key in healthcare.

Technology 95

Technology Digital Transformation Business Intelligence Data Warehouse 95

Sisense

JUNE 8, 2020

Datasets are on the rise and most of that data is on the cloud. The answer is “cloud-first analytics.” The recent rise of cloud data warehouses like Snowflake means businesses can better leverage all their data using Sisense seamlessly with products like the Snowflake Cloud Data Platform to strengthen their businesses.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

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. It was very fragmented, and I brought it together into a hub-and-spoke model.”.

IT 77

IT Forecasting Data Lake Enterprise 77

Sisense

MARCH 14, 2021

However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. If you’ve got big data, the right analytics platform or third-party big data reporting tools will be vital to helping you derive actionable intelligence from it.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

CIO Business Intelligence

OCTOBER 13, 2022

In addition, the AWS and IBM joint Enterprise Transformation Program (ETP), aimed at large-scale transformation and modernization efforts, helps enterprise customers adopt new digital operating models structurally and prescriptively, and transform with AWS to deliver strategic business outcomes. For more information, visit [link].

Insurance 91

Insurance Data Warehouse Manufacturing Forecasting 91

Cloudera

NOVEMBER 12, 2020

Moving to a cloud-only based model allows for flexible provisioning, but the costs accrued for that strategy rapidly negate the advantage of flexibility. . Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs. A solution.

Data Warehouse 104

Data Warehouse Reporting Risk Cost-Benefit 104

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Cost-Benefit 105

Cost-Benefit Internet of Things Data-driven Data Lake 105

CIO Business Intelligence

JULY 18, 2022

Data is in constant flux, due to exponential growth, varied formats and structure, and the velocity at which it is being generated. Data is also highly distributed across centralized on-premises data warehouses, cloud-based data lakes, and long-standing mission-critical business systems such as for enterprise resource planning (ERP).

Cost-Benefit 68

Cost-Benefit Data Lake Data Warehouse Enterprise 68

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 48

Machine Learning Marketing Forecasting Modeling 48

Smarten

NOVEMBER 22, 2017

The term ‘Advanced Analytics’ can seem daunting to the average business user and even to the average business enterprise but the process is not as complex as it may seem. What is Advanced Analytics? How Can Advanced Analytics Advance Your Organization?

Analytics 40

Analytics IT Business Intelligence Visualization 40

AWS Big Data

APRIL 19, 2023

Data creation, consumption, and storage are predicted to grow to 175 zettabytes by 2025, forecasted by the 2022 IDC Global DataSphere report. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well. With the right analytics approach, this is possible.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

Jet Global

JANUARY 15, 2021

Jet Analytics is a complete reporting and analytics platform that works with the entire family of Microsoft Dynamics products. Microsoft partners can implement Jet Analytics today, on their customers’ existing ERP systems, paving the way for a smoother, lower-cost transition to Microsoft D365 down the road.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

Jet Global

JUNE 5, 2019

But data alone is not the answer—without a means to interact with the data and extract meaningful insight, it’s essentially useless. Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Start future proofing your business today.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

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. The accuracy of store customer flow forecast has now reached 95%.

Business Intelligence 52

Business Intelligence Sales Marketing Forecasting 52

Jet Global

DECEMBER 8, 2020

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. Will you use SQL Server Analysis Services for data modeling, or will you do this within the Power BI desktop tool? Power BI Without the Risk.

Finance 52

Finance Risk Reporting Software 52

CIO Business Intelligence

JUNE 29, 2022

Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done.

Data Lake 108

Data Lake Analytics Data Warehouse Machine Learning 108

AWS Big Data

FEBRUARY 1, 2023

The response times for these data sources are critical to our key stakeholders. Therefore, we must take a data-driven approach to select a high-performance architecture. Storage and redundancy – Due to the heterogeneous data stores and models, it was challenging to store the different datasets from various business stakeholder teams.

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

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. Types: HOLAP stands for Hybrid Online Analytical Processing. see more ).

Online Analytical Processing 130

Online Analytical Processing OLAP Analytics Data Warehouse 130

AWS Big Data

NOVEMBER 15, 2023

BMW Cloud Efficiency Analytics (CLEA) is a homegrown tool developed within the BMW FinOps CoE (Center of Excellence) aiming to optimize and reduce costs across all these accounts. In this post, we explore how the BMW Group FinOps CoE implemented their Cloud Efficiency Analytics tool (CLEA), powered by Amazon QuickSight and Amazon Athena.

Dashboards 95

Dashboards Analytics Metadata Data Warehouse 95

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Acquiring and Preparing Data for Power View and Excel. Introduction to Power BI.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Acquiring and Preparing Data for Power View and Excel. Introduction to Power BI.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

MARCH 30, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Acquiring and Preparing Data for Power View and Excel. Introduction to Power BI.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Acquiring and Preparing Data for Power View and Excel. Introduction to Power BI.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Cloudera

MARCH 2, 2018

If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. While there are instances of data-driven efforts in the nonprofit sector, they are not as widespread as they can be.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

Jet Global

MARCH 25, 2020

While JD Edwards transactional data is required to run period close reports, analyze trends, and prepare forecasts for planning and budgeting, it comes with a lot of complexity. JD Edwards World has no less than 1600 tables of data to support just its business applications. Each table can be huge. View Whitepaper Now.

Reporting 45

Reporting Finance Sales Visualization 45