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 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

CIO Business Intelligence

JUNE 21, 2023

Having been very acquisitive over the years, Sysco found itself burdened with a lot of on-premise data centers and legacy applications. The blueprint, called ‘Recipe for Growth,’ was announced in May 2021, roughly a year after Sysco appointed to its CEO position Kevin Hourican, a former top exec at CVS Health and CVS Pharmacy.

IT 75

IT B2B Digital Transformation Sales 75

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 99

Dashboards Analytics Metadata Data Warehouse 99

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 Data Warehouse Predictive Analytics 40

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 127

Big Data Data Analytics Analytics Predictive Modeling 127

AWS Big Data

FEBRUARY 1, 2023

With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data. The response times for these data sources are critical to our key stakeholders.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

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). Modern organizations of all types collect data. we may need to integrate the financial data with data from the CRM.

Business Intelligence 89

Business Intelligence IT Forecasting Data Warehouse 89

Sisense

AUGUST 4, 2021

The Sisense Q2 2021 product release is packed with exciting innovations and enhancements that offer users a more extensible experience when it comes to analytics. Analytics adoption has stalled; only infused analytics can help. Sisense Explanations deepens your understanding of your data. Learn more. Learn more.

Dashboards 52

Dashboards Analytics Data Warehouse Forecasting 52

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 89

IT Forecasting Data Lake Enterprise 89

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 103

Machine Learning Forecasting Measurement Data Warehouse 103

Data Science 101

FEBRUARY 22, 2020

Amazon Redshift now supports Authentication with Microsoft Azure AD Redshift, a data warehouse, from Amazon now integrates with Azure Active Directory for login. Amazon Forecast now uses public Holidays from 30 Countries Forecast, which is a time-series forecasting tool, supports holidays from many countries now.

Data Science 103

Data Science Forecasting Data Warehouse Metrics 103

Cloudera

DECEMBER 20, 2022

Effective use of data can have a direct impact on the cash flow of wind and solar generation companies in areas such as real-time decision making. In this respect, several studies project that a proper use of advanced analytics implies savings of between 5% and 7.5%. All of this introduces a new issue: grid management.

Optimization 79

Optimization Data Analytics Analytics Cost-Benefit 79

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 137

Data mining Data-driven Statistics OLAP 137

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 85

Insurance Data Warehouse Data-driven Unstructured Data 85

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

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 million in the USA alone.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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 105

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 105

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

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 117

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 117

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 309

Data Warehouse Forecasting Big Data Data Science 309

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 The offensive side?

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

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 82

Forecasting Cost-Benefit Optimization Testing 82

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 135

Digital Transformation IoT Data-driven KPI 135

AWS Big Data

FEBRUARY 20, 2024

The primary challenge businesses face with near-real-time analytics is getting the data prepared for analytics in a timely manner, which can often take days. Companies commonly maintain entire teams to facilitate the flow of data from ingestion to analysis. The following diagram illustrates the solution architecture.

Visualization 104

Visualization Cost-Benefit Optimization B2B 104

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

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 54

Data Warehouse Forecasting Data-driven Dashboards 54

CIO Business Intelligence

MARCH 16, 2022

CIO Middle East: Data Analytics is key 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. How you see the role of business intelligence in healthcare?

Technology 108

Technology Digital Transformation Business Intelligence Data Warehouse 108

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 64

Modeling Data Warehouse Machine Learning Testing 64

Smarten

MAY 30, 2023

When a business plans to launch an augmented analytics or business intelligence solution, it must carefully plan for user adoption – especially if the launch of this solution is part of a larger strategy for self-serve business user analytics and the Citizen Data Scientist approach to data use across the enterprise.

Slice and Dice 52

Slice and Dice Business Intelligence Cost-Benefit Dashboards 52

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 102

Data Warehouse Reporting Risk Cost-Benefit 102

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

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

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 104

Insurance Data Warehouse Manufacturing Forecasting 104

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 110

Metrics Visualization Dashboards Interactive 110

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

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 95

Data Lake Unstructured Data Management Modeling 95

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 117

Cost-Benefit Internet of Things Data-driven Data Lake 117