CIO Business Intelligence

MARCH 16, 2022

How you see the role of business intelligence in healthcare? When we look into the analytics scenario of healthcare, the accurate word to describe it is ‘clinical business intelligence’. The same goes for the adoption of data warehouse and business intelligence.

Technology 106

Technology Digital Transformation Business Intelligence Data Warehouse 106

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 102

Machine Learning Forecasting Measurement Data Warehouse 102

CIO Business Intelligence

FEBRUARY 15, 2024

But we also have our own internal data that objectively measures needs and results, and helps us communicate with top management.” In fact, CNR has had a data warehouse for 15 years, which gathers information from internal management systems to perform analyses and guide strategies. C-suite support for investments is essential.

Strategy 115

Strategy Digital Transformation Cost-Benefit Forecasting 115

datapine

MAY 29, 2019

BI architecture has emerged to meet those requirements, with data warehousing as the backbone of these processes. One of the BI architecture components is data warehousing. What Is Data Warehousing And Business Intelligence? BI Architecture Framework In Modern Business. Data integration. Data storage.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

Cloudera

FEBRUARY 28, 2019

For HelloFresh, data is key to understanding customer preferences, including what recipes, ingredients, and meals each household likes. However, as its subscriber base grew, the business needed a new data warehouse that could support more data and more accurately predict customer behavior.

Data Warehouse 55

Data Warehouse Forecasting Data-driven Dashboards 55

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. Those who work in the field of data science are known as data scientists.

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

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 116

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 116

CIO Business Intelligence

SEPTEMBER 6, 2022

As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence. Establishing a clear and unified approach to data. The new model enables Very to design once and deploy everywhere, while maintaining a product focus. We’re a Power BI shop,” he says. “I

IT 88

IT Forecasting Data Lake Enterprise 88

CIO Business Intelligence

OCTOBER 17, 2023

The company has also added new capabilities to its planning and budgeting feature to help enterprises automate data analysis for preparing budgets. Bill Capture, too, has been made generally available.

IT 130

IT Finance Sales Enterprise 130

datapine

NOVEMBER 11, 2021

1) Benefits Of Business Intelligence Software. 2) Top Business Intelligence Features. a) Data Connectors Features. Your Chance: Want to take your data analysis to the next level? Benefits Of Business Intelligence Software. 17 Top Features Of Business Intelligence Tools.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. displaying BI insights for human users).

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

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

AWS Big Data

MARCH 29, 2024

However, to analyze trends over time, aggregate from different dimensions, and share insights across the organization, a purpose-built business intelligence (BI) tool like Amazon QuickSight may be more effective for your business. Grafana provides powerful customizable dashboards to view pipeline health.

Metrics 101

Metrics Visualization Dashboards Interactive 101

CIO Business Intelligence

SEPTEMBER 8, 2022

“The enormous potential of real-time data not only gives businesses agility, increased productivity, optimized decision-making, and valuable insights, but also provides beneficial forecasts, customer insights, potential risks, and opportunities,” said Krumova. Business Intelligence

Cost-Benefit 116

Cost-Benefit Internet of Things Data-driven Data Lake 116

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

JUNE 21, 2023

Like most companies, Sysco traditionally ran its B2B e-commerce business in a bulk reordering fashion. The base engine for the e-commerce and data warehouse is all custom code. but we use best-of-breed boutique solutions surrounding the core for everything else,” Peck says.

IT 74

IT B2B Digital Transformation Sales 74

CIO Business Intelligence

OCTOBER 13, 2022

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. Next stop: Migrating a complex forecasting module planned for later in 2022.

Insurance 102

Insurance Data Warehouse Manufacturing Forecasting 102

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 133

Digital Transformation IoT Data-driven KPI 133

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

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 78

Cost-Benefit Data Lake Data Warehouse Enterprise 78

CIO Business Intelligence

JUNE 14, 2023

CDP Data Analyst The Cloudera Data Platform (CDP) Data Analyst certification verifies the Cloudera skills and knowledge required for data analysts using CDP. Candidates should have experience in machine learning and predictive modeling techniques and their application to big, distributed, and in-memory data sets.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Smarten

NOVEMBER 22, 2017

Advanced Analytics is comprised of numerous sophisticated analytical techniques, designed to parse, explore and analyze data and produce results to support business decisions. Advanced Analytics provides a 360 degree view of data from data marts, data warehouses, best-of-breed, legacy systems and other data sources.

Analytics 40

Analytics IT Business Intelligence Visualization 40

FineReport

MAY 31, 2023

Furthermore, we will introduce some business intelligence solution that excels in simplifying the process of creating and utilizing a financial dashboard effectively. Finance and accounting teams often deal with data residing in multiple systems, such as accounting software, ERP systems, spreadsheets, and data warehouses.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Birst BI

AUGUST 27, 2019

I spoke with Matt and Doug to provide us with a preview of the webinar: In speaking with retail organizations, what are the biggest challenges they are facing when it comes to using data and analytics to identify problems, opportunities and solutions? But the age-old problems still exist.

Sales 40

Sales Key Performance Indicator Strategy Business Intelligence 40

Ms SQL Girl

FEBRUARY 3, 2015

Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT. Lastly, we will discuss how to configurethe forecasting / trend analysis feature in Power BI. Tips and Tricks on Charts and Data Models.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

FEBRUARY 3, 2015

Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT. Lastly, we will discuss how to configurethe forecasting / trend analysis feature in Power BI. Tips and Tricks on Charts and Data Models.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

MARCH 30, 2015

Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT. Lastly, we will discuss how to configure the forecasting / trend analysis feature in Power BI. Tips and Tricks on Charts and Data Models.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT. Lastly, we will discuss how to configure the forecasting / trend analysis feature in Power BI. Tips and Tricks on Charts and Data Models.

Dashboards 40

Dashboards Visualization KPI Interactive 40

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 114

Data Lake Analytics Data Warehouse Machine Learning 114

CIO Business Intelligence

DECEMBER 21, 2022

Every day, organizations of every description are deluged with data from a variety of sources, and attempting to make sense of it all can be overwhelming. So a strong business intelligence (BI) strategy can help organize the flow and ensure business users have access to actionable business insights. “By

IT 130

IT Business Intelligence Sales Key Performance Indicator 130

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 78

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 78

IBM Big Data Hub

DECEMBER 7, 2023

Today, OLAP database systems have become comprehensive and integrated data analytics platforms, addressing the diverse needs of modern businesses. They are seamlessly integrated with cloud-based data warehouses, facilitating the collection, storage and analysis of data from various sources.

OLAP 62

OLAP Slice and Dice Cost-Benefit Data Warehouse 62

Smart Data Collective

JUNE 16, 2022

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. Trend analysis, financial reporting, and sales forecasting are frequently aided by OLAP business intelligence queries. ( see more ).

Online Analytical Processing 131

Online Analytical Processing OLAP Analytics Data Warehouse 131

CIO Business Intelligence

MAY 24, 2022

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. Having systems able to scale to handle the volumes of data to be analysed.

Data-driven 88

Data-driven Data Lake Data Warehouse Cost-Benefit 88

AWS Big Data

JULY 13, 2023

This post discusses the journey that took Altron from their initial goals, to technical implementation, to the business value created from understanding their customers and their unique opportunities better. He has been leading the building of data warehouses and analytic solutions for the past 20 years.

Optimization 87

Optimization B2B Data Quality Sales 87

IBM Big Data Hub

OCTOBER 27, 2022

Lindt now has a team of 10, including a business intelligence (BI) manager and BI developer analysts. How can we drill into the data to identify underlying factors and get a better outcome? Advancing clients’ strategic data analytics capabilities.

Slice and Dice 52

Slice and Dice Analytics Sales Business Intelligence 52

Cloudera

FEBRUARY 8, 2021

Data Enrichment – data pipeline processing, aggregation and management to ready the data for further analysis. Reporting – delivering business insight (sales analysis and forecasting, budgeting as examples). ECC will use Cloudera Data Engineering (CDE) to address the above data challenges (see Fig.

Manufacturing 119

Manufacturing Data Warehouse Sales Predictive Analytics 119