CIO Business Intelligence

SEPTEMBER 26, 2023

Merging the data IWB Industrielle Werke Basel (IWB) emerged from the private gas industry in 1852, becoming an electric company in 1899. 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 106

Machine Learning Forecasting Measurement Data Warehouse 106

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 97

IT Forecasting Data Lake Enterprise 97

CIO Business Intelligence

FEBRUARY 15, 2024

If the CEO doesn’t understand how the CIO role is evolving, or the CIO isn’t ready to make the leap to being a business leader in the C-suite, a company’s ability to innovate in a competitive and challenging environment will be damaged. Change by its very nature generates suspicion and resistance,” says Ardolino.

Strategy 131

Strategy Digital Transformation Cost-Benefit Forecasting 131

Analytics Vidhya

SEPTEMBER 13, 2022

Introduction The purpose of a data warehouse is to combine multiple sources to generate different insights that help companies make better decisions and forecasting. It consists of historical and commutative data from single or multiple sources. Most data scientists, big data analysts, and business […].

Data Warehouse 334

Data Warehouse Forecasting Big Data Data Science 334

IBM Big Data Hub

APRIL 28, 2022

The time required to discover critical data assets, request access to them and finally use them to drive decision making can have a major impact on an organization’s bottom line. That’s where the data fabric comes in. How does a data fabric impact the bottom line?

Metadata 78

Metadata Data Warehouse Forecasting Predictive Modeling 78

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 144

Data mining Data-driven Statistics OLAP 144

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

APRIL 25, 2022

You can think that the general-purpose version of the Databricks Lakehouse as giving the organization 80% of what it needs to get to the productive use of its data to drive business insights and data science specific to the business. Features focus on media and entertainment firms. Partner solutions to boost functionality, adoption.

Recreation/Entertainment 120

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 120

IBM Big Data Hub

OCTOBER 30, 2023

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. Adopting AI in business at scale is not without its challenges, including data privacy concerns, integration complexities and the need for skilled personnel.

Insurance 78

Insurance Data Warehouse Data-driven Unstructured Data 78

datapine

MARCH 31, 2022

This all-encompassing branch of online data analysis is a particularly interesting field because its roots are firmly planted in two separate areas: business strategy and computer science. For a full rundown of European BI salary averages, check out this resource from Data Career. Why Shift To A Business Intelligence Career?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Cloudera

FEBRUARY 28, 2019

This story gives a look at how HelloFresh is becoming a more data centric organization to better serve its customers. For HelloFresh, data is key to understanding customer preferences, including what recipes, ingredients, and meals each household likes. This results in more personalized recommendations and more accurate forecasting.

Data Warehouse 56

Data Warehouse Forecasting Data-driven Dashboards 56

Sisense

AUGUST 4, 2021

Infusing intelligence everywhere is where Sisense shines, which is why in Q2 we’ve invested in bringing you Infusion Apps that leverage our brand new Extense Framework along with other features that allow you to explore new dimensions of your data. Optimize your cloud data warehouse cost forecasting.

Dashboards 52

Dashboards Analytics Data Warehouse Forecasting 52

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. For example, imaging data can be used to show patients how an aligner will change their appearance over time. “It

Unstructured Data 106

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 106

Cloudera

NOVEMBER 12, 2020

Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data. We see it everywhere.

Data Warehouse 104

Data Warehouse Reporting Risk Cost-Benefit 104

AWS Big Data

APRIL 17, 2023

We have built data pipelines to process, aggregate, and clean our data for our forecasting service. With the growing interest in our services, we wanted to scale our batch-based data pipeline to process more historical data on a daily basis and yet remain performant, cost-efficient, and predictable.

Forecasting 80

Forecasting Cost-Benefit Optimization Testing 80

DataKitchen

AUGUST 27, 2021

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data. Figure 4: DataOps architecture based on the DataKitchen Platform.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. Amazon Redshift ML makes it easy for SQL users to create, train, and deploy ML models using SQL commands familiar to many roles such as executives, business analysts, and data analysts.

Modeling 62

Modeling Data Warehouse Machine Learning Testing 62

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

Sisense

JUNE 8, 2020

Datasets are on the rise and most of that data is on the cloud. 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. “The

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

CIO Business Intelligence

MARCH 16, 2022

The same goes for the adoption of data warehouse and business intelligence. The telecom sector prepares the data warehouse and business intelligence use cases even before they go live with their first customer. With regard to analytics in general, sadly, many organisations fail in their efforts to become data-driven.

Technology 115

Technology Digital Transformation Business Intelligence Data Warehouse 115

CIO Business Intelligence

OCTOBER 13, 2022

Healthcare and life sciences companies have different governance and compliance concerns along with issues on how data is managed compared to technology companies or those in energy and financial services.”. Next stop: Migrating a complex forecasting module planned for later in 2022. AWS/IBM’s Industry Edge.

Insurance 114

Insurance Data Warehouse Manufacturing Forecasting 114

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

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. ASC 606 should clear up confusion among investors and financial observers. NetSuite: Bridging Past and Future.

Forecasting 59

Forecasting Data Warehouse Software Reporting 59

Octopai

JANUARY 8, 2020

Customers can sue companies for violations of CCPA, even if no data breach is involved. From a data management perspective, this means that you must have a handle on where your data is located, what is contained within it, who has access to it, how it’s used, shared, and protected.

Metadata 54

Metadata Key Performance Indicator OLAP Forecasting 54

AWS Big Data

MARCH 29, 2024

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. You can choose Controls , and change filter conditions based on date time, Region, AWS account ID, AWS Glue job name, job run ID, and the source and sink of the data stores. Under Browse assets , choose Analysis.

Metrics 105

Metrics Visualization Dashboards Interactive 105

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.

Sales 141

Sales Big Data Marketing Software 141

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 55

Data Warehouse Data Lake Unstructured Data Optimization 55

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. Big data challenges and solutions.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

CIO Business Intelligence

JULY 18, 2022

To fully capitalize on data-first modernization, organizations need secure access to data spread across the IT landscape. Data is in constant flux, due to exponential growth, varied formats and structure, and the velocity at which it is being generated. An ISV ecosystem at work.

Cost-Benefit 94

Cost-Benefit Data Lake Data Warehouse Enterprise 94

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 122

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

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

CIO Business Intelligence

JUNE 14, 2023

Certification of Professional Achievement in Data Sciences The Certification of Professional Achievement in Data Sciences is a nondegree program intended to develop facility with foundational data science skills. It requires completion of the CAP exam and adherence to the CAP Code of Ethics.

Big Data 127

Big Data Data Analytics Analytics Predictive Modeling 127

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. What is business intelligence?. BI Interface (by FineReport). BI use: Dräger Medical.

Business Intelligence 52

Business Intelligence Sales Marketing Forecasting 52

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 49

Machine Learning Marketing Forecasting Modeling 49

IBM Big Data Hub

JULY 6, 2023

What is data science? Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets. It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. That’s where data science comes in.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

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. Batch processing is not the best fit in this scenario.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

Jet Global

JANUARY 15, 2021

For most customers, the latter view is probably closer to reality, given some of the major changes that Microsoft is making around data access, customizations, and the platform. As a Microsoft partner, it makes good business sense to decrease the friction that customers might associate with the Microsoft Dynamics ERP cloud migration process.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72