CIO Business Intelligence

SEPTEMBER 26, 2023

Throughout the development process, IWB’s IT team worked closely with the multi-national, enterprise resource planning (ERP) software leader. 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 105

Machine Learning Forecasting Measurement Data Warehouse 105

bridgei2i

APRIL 21, 2021

The 80s saw workflows being operationalized, and by the 90s, the advent of planning systems and demand forecasting systems had caused many advancements. The 2000s saw data warehouses being created and used as business intelligence picked up. Arun also illustrates some client use cases and talks about the impact numbers.

Forecasting 98

Forecasting Data Warehouse Manufacturing Machine Learning 98

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 106

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 106

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 118

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 118

Jedox

APRIL 8, 2021

Effective decision-making must be based on data analysis, decisions (planning) and the execution and evaluation of the decisions and its impact (forecasting). Business Intelligence (BI) and Enterprise Performance Management (EPM) solutions aim to support effective decision-making. an approved budget).

Business Intelligence 89

Business Intelligence IT Forecasting Data Warehouse 89

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.” But there is more room to go.

Digital Transformation 139

Digital Transformation IoT Data-driven KPI 139

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

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

CIO Business Intelligence

SEPTEMBER 6, 2022

When Steve Pimblett joined The Very Group in October 2020 as chief data officer, reporting to the conglomerate’s CIO, his task was to help the enterprise uncover value in its rich data heritage. As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence.

IT 94

IT Forecasting Data Lake Enterprise 94

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. Every enterprise wants to improve its business relationship and productivity. It is one of the powerful big data integration tools which marketing professionals use.

Sales 141

Sales Big Data Marketing Software 141

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 109

Insurance Data Warehouse Manufacturing Forecasting 109

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 81

IT B2B Digital Transformation Sales 81

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 86

Cost-Benefit Data Lake Data Warehouse Enterprise 86

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

AWS Big Data

MARCH 29, 2024

Aggregating metrics and slicing data by different dimensions such as job name can provide deeper insights. The sample dashboard showed metrics over time, top errors, and comparative job analytics. He is passionate about building scalable distributed systems for big data processing, analytics, and management.

Metrics 101

Metrics Visualization Dashboards Interactive 101

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? These tools allow the enterprise to establish and monitor key metrics and to objectively assess results.

Analytics 40

Analytics IT Business Intelligence Visualization 40

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 102

Data Warehouse Reporting Risk Cost-Benefit 102

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 120

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

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. Moreover, FineReport is free for personal use, and offers a quote-based plan for enterprises.

Business Intelligence 52

Business Intelligence Sales Marketing Forecasting 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. appeared first on IBM Blog.

Machine Learning 58

Machine Learning Data Science Statistics Deep Learning 58

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning in marketing and sales According to Forbes , marketing and sales teams prioritize AI and ML more than any other enterprise department. Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). Many stock market transactions use ML.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

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. This use case fits very well in the streaming analytics domain.

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

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. READ BLOG POST.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

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. insightsoftware is a leading provider of financial reporting and enterprise performance management software. 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 115

Data Lake Analytics Data Warehouse Machine Learning 115

Jet Global

JULY 11, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

Jet Global

OCTOBER 1, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

CIO Business Intelligence

OCTOBER 10, 2022

This hampered the company from having an enterprise-wide view. 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 .

Enterprise 52

Enterprise Forecasting Descriptive Analytics Digital Transformation 52

Sisense

AUGUST 16, 2021

.” It falls to cloud data teams and other stakeholders to weigh their options and pick the best products to meet these needs, often holding off on choosing a BI tool until they’ve settled on a cloud-based data warehouse, even if the platform could help them start evolving their business immediately. AI can help with that!

Data Warehouse 52

Data Warehouse Analytics Cost-Benefit Visualization 52

IBM Big Data Hub

APRIL 19, 2023

Through the formation of this group, the Assessment Services division discovered multiple enterprise resource planning instances and payroll systems, a lack of standard reporting, and siloed budgeting and forecasting processes residing within a labyrinth of spreadsheets. It was chaotic.

Technology 88

Technology Forecasting Data Warehouse Reporting 88

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy. Why does AI need an open data lakehouse architecture?

Data Lake 84

Data Lake Metadata Cost-Benefit Data Warehouse 84

IBM Big Data Hub

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

Data Warehouse 77

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 77

IBM Big Data Hub

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 62

OLAP Slice and Dice Cost-Benefit Data Warehouse 62

IBM Big Data Hub

OCTOBER 27, 2022

When Newcomp Analytics started working with chocolatier Lindt Canada more than 15 years ago to support their supply chain, Lindt had no full-time IT personnel for analytics. Yet Newcomp continues to be an essential and trusted partner, helping the company keep up with the high volume of analytics solutions it needs to address.

Slice and Dice 52

Slice and Dice Analytics Sales Business Intelligence 52

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

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 94

Data-driven Data Lake Data Warehouse Cost-Benefit 94