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. DataOps Success Story.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Data-driven DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

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 59

Data Warehouse Data Lake Unstructured Data Optimization 59

CIO Business Intelligence

FEBRUARY 15, 2024

When I joined Graded IT to drive digital transformation, management was convinced of the centrality of change,” says Gennaro Ardolino, head of digital innovation and CISO of the Neapolitan energy saving company. Managers speak their own language and don’t always make the effort to understand the language of IT.

Strategy 134

Strategy Digital Transformation Cost-Benefit Forecasting 134

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 115

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 115

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.

Analytics 90

Analytics Data Warehouse Digital Transformation Forecasting 90

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. Somaiya Institute of Management Studies and Research, Mumbai.

Forecasting 98

Forecasting Data Warehouse Manufacturing Machine Learning 98

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 81

Technology Forecasting Data Warehouse Reporting 81

Smart Data Collective

OCTOBER 13, 2021

Data Virtualization can include web process automation tools and semantic tools that help easily and reliably extract information from the web, and combine it with corporate information, to produce immediate results. How does Data Virtualization manage data quality requirements? In forecasting future events.

Visualization 141

Visualization Cost-Benefit Big Data Prescriptive Analytics 141

Smart Data Collective

DECEMBER 13, 2022

Five Best Practices for Data Analytics. Extracted data must be saved someplace. There are several choices to consider, each with its own set of advantages and disadvantages: Data warehouses are used to store data that has been processed for a specific function from one or more sources. Select a Storage Platform.

Visualization 142

Visualization Key Performance Indicator Sales Advertising 142

CIO Business Intelligence

JUNE 29, 2022

Analytics is the means for discovering those insights, and doing it well requires the right tools for ingesting and preparing data, enriching and tagging it, building and sharing reports, and managing and protecting your data and insights. Azure Data Factory. Azure Data Lake Analytics. Azure Synapse Analytics.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

CIO Business Intelligence

SEPTEMBER 26, 2023

“The increasing amount of decentralized solar photovoltaic systems represents a challenge for planning and operating our distribution grid,” explained Daniel Grossenbacher, IWB’s Asset Management supervisor. With ML producing a total load profile in 15-minute intervals, forecasters could view solar production in eight-hour chunks.

Machine Learning 105

Machine Learning Forecasting Measurement Data Warehouse 105

Cloudera

FEBRUARY 8, 2021

Below is the entire set of steps in the data lifecycle, and each step in the lifecycle will be supported by a dedicated blog post(see Fig. 1): Data Collection – data ingestion and monitoring at the edge (whether the edge be industrial sensors or people in a vehicle showroom). 1 The enterprise data lifecycle.

Manufacturing 122

Manufacturing Data Warehouse Sales Predictive Analytics 122

Jedox

APRIL 8, 2021

Decision making is sometimes considered an art created and presented by managers. 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). in this post.

Business Intelligence 89

Business Intelligence IT Forecasting Data Warehouse 89

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 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

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. The company has added a new set of capabilities under the umbrella of NetSuite Enterprise Performance Management (EPM).

IT 131

IT Finance Sales Enterprise 131

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 ). The WOLAP architecture is three-tiered.

Online Analytical Processing 137

Online Analytical Processing OLAP Analytics Data Warehouse 137

AWS Big Data

SEPTEMBER 11, 2024

Their large inventory requires extensive supply chain management to source parts, make products, and distribute them globally. This post describes how HPE Aruba automated their Supply Chain management pipeline, and re-architected and deployed their data solution by adopting a modern data architecture on AWS.

Data Architecture 110

Data Architecture Optimization Data Warehouse Metadata 110

Cloudera

NOVEMBER 12, 2020

In addition, costs generated by independent IT projects frequently skyrockets with few controls in place to manage them. At Cloudera, we listened to our customers’ problems and built the Burst to Cloud feature in Workload Manager (WXM), Cloudera’s intelligent workload management tool. A solution.

Data Warehouse 105

Data Warehouse Reporting Risk Cost-Benefit 105

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

Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business.

IT 95

IT Data Warehouse Dashboards Visualization 95

Smart Data Collective

JULY 20, 2021

Salesforce is a top-rated CRM (customer relationship management) software supporting businesses in running various operations smoothly. It has solutions that help organizations teams to work and manage business operations efficiently from anywhere in the world. With this tool, data transfer is faster and dynamic.

Sales 142

Sales Big Data Marketing Software 142

CIO Business Intelligence

DECEMBER 21, 2022

Determining which BI delivery method fits best There are many traditional IT-managed ways to deliver reports and insights from data. An IT-managed BI delivery model, Goris explains, requires a lot of effort and process, which wouldn’t work for some parts of the business. And key to this is the metadata management.”

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

Jedox

MAY 20, 2021

The problems caused by data silos are clear: sales and operations planning takes too long, plans are inaccurate, not very up-to-date, and difficult to adapt. Controllers from Finance and other departments as well as supply chain managers are doing themselves as well as the organization a favor in fixing the silo problem.

Sales 98

Sales Forecasting Manufacturing Finance 98

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.”. United’s Revenue Management Modernization Takes Flight. Application Management AWS/IBM’s Industry Edge.

Insurance 115

Insurance Data Warehouse Manufacturing Forecasting 115

CIO Business Intelligence

JUNE 12, 2024

UK Power Networks was created following a merger of three licensed electricity distribution networks brought together under one roof in 2010 by EDF Energy Networks, where Webb served as head of enterprise data management. With renewable energy, sunshine and wind are sources of free fuel.

Digital Transformation 116

Digital Transformation Cost-Benefit Forecasting Metrics 116

CIO Business Intelligence

MARCH 16, 2022

But even before the pandemic hit, Dubai-based Aster DM Healthcare was deploying emerging technology — for example, implementing a software-defined network at its Aster Hospitals UAE infrastructure to help manage IoT-connected healthcare devices. The same goes for the adoption of data warehouse and business intelligence.

Technology 115

Technology Digital Transformation Data Warehouse Business Intelligence 115

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. Consequently, a data fabric self-manages and automates data discovery, governance and consumption, which enables.

Data Warehouse 77

Data Warehouse Forecasting Metadata Predictive Modeling 77

datapine

NOVEMBER 11, 2021

Taking all these into consideration, it is impossible to ignore the benefits that your business can endure from implementing BI tools into their data management process. No matter the size of your data sets, BI tools facilitate the analysis process by letting you extract fresh insights within seconds. c) Join Data Sources.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

AWS Big Data

APRIL 17, 2023

Our solutions are based on best-in-class software like SAP Hybris and Adobe Experience Manager, and complemented by unique services that help automate the pricing and sourcing processes. We have built data pipelines to process, aggregate, and clean our data for our forecasting service.

Forecasting 98

Forecasting Cost-Benefit Optimization Testing 98

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. But there are many challenges to becoming a successful data-driven organisation.

Data-driven 98

Data-driven Data Lake Data Warehouse IT 98

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. Not Yet CCPA Compliant?

Metadata 72

Metadata Key Performance Indicator OLAP Forecasting 72

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. The offensive side?

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

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 144

Digital Transformation IoT Data-driven KPI 144

AWS Big Data

MARCH 29, 2024

Typically, you have multiple accounts to manage and run resources for your data pipeline. To make the dataset and analysis visible for you, complete the following steps: On the QuickSight console, navigate to the user menu and choose Manage QuickSight. In the navigation pane, choose Manage assets. Choose SHARE.

Metrics 128

Metrics Visualization Dashboards Interactive 128

AWS Big Data

NOVEMBER 15, 2023

It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. The difference lies in when and where data transformation takes place.

Dashboards 111

Dashboards Analytics Metadata Data Warehouse 111

AWS Big Data

FEBRUARY 20, 2024

To overcome these challenges, businesses need a solution that can provide near-real-time analytics on transactional data with services that don’t lead to latent processing and bloat from managing the pipeline. Solution overview The most common workloads, agnostic of industry, involve transactional data.

Visualization 124

Visualization Cost-Benefit Optimization B2B 124