Sisense

JANUARY 6, 2020

Best practice blends the application of advanced data models with the experience, intuition and knowledge of sales management, to deeply understand the sales pipeline. In this blog, we share some ideas of how to best use data to manage sales pipelines and have access to the fundamental data models that enable this process.

Sales 91

Sales Forecasting Snapshot Management 91

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 141

Data mining Data-driven Statistics OLAP 141

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

CIO Business Intelligence

SEPTEMBER 26, 2023

As the company conceptualized the best measuring solution, planners understood the importance of integrating existing data from diverse sources. 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

IBM Big Data Hub

APRIL 28, 2022

Problem : Traditionally, developing a solid backorder forecast model that takes every factor into consideration would take anywhere from weeks to months as sales data, inventory or lead-time data and supplier data would all reside in disparate data warehouses.

Data Warehouse 77

Data Warehouse Forecasting Metadata Predictive Modeling 77

CIO Business Intelligence

JUNE 29, 2022

Taking the broadest possible interpretation of data analytics , Azure offers more than a dozen services — and that’s before you include Power BI, with its AI-powered analysis and new datamart option , or governance-oriented approaches such as Microsoft Purview. Azure Data Factory. Azure Data Lake Analytics.

Data Lake 115

Data Lake Analytics Data Warehouse Machine Learning 115

CIO Business Intelligence

JUNE 12, 2024

Following the merger, the energy company began its digital transformation by unifying the three networks under one ERP system, SAP, with plans to eventually evolve to SAP’s S/4HANA SaaS-based model. With renewable energy, sunshine and wind are sources of free fuel.

Digital Transformation 115

Digital Transformation Cost-Benefit Forecasting Metrics 115

AWS Big Data

FEBRUARY 1, 2023

The response times for these data sources are critical to our key stakeholders. Therefore, we must take a data-driven approach to select a high-performance architecture. Storage and redundancy – Due to the heterogeneous data stores and models, it was challenging to store the different datasets from various business stakeholder teams.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

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 122

Strategy Digital Transformation Cost-Benefit Forecasting 122

Jet Global

OCTOBER 22, 2020

As the Microsoft Dynamics ERP products transition to a cloud-first model, Microsoft has positioned Power BI as the future of business intelligence for its Dynamics family of products. OLAP Cubes vs. Tabular Models. Let’s begin with an overview of how data analytics works for most business applications.

Modeling 52

Modeling OLAP Reporting Sales 52

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

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 ). This is a significant advantage.

Online Analytical Processing 131

Online Analytical Processing OLAP Analytics Data Warehouse 131

IBM Big Data Hub

OCTOBER 4, 2023

With an open data lakehouse architecture approach, your teams can maximize value from their data to successfully adopt AI and enable better, faster insights. Why does AI need an open data lakehouse architecture? from 2022 to 2026.

Data Lake 77

Data Lake Metadata Data Warehouse Cost-Benefit 77

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). Traditional” data is being created in operational systems such as ERP, CRM, HCM and similar or related systems.

Business Intelligence 89

Business Intelligence IT Forecasting Data Warehouse 89

IBM Big Data Hub

MAY 9, 2023

With watsonx, IBM will launch a centralized AI development studio that gives businesses access to proprietary IBM and open-source foundation models, watsonx.data to gather and clean their data, and a toolkit for governance of AI. Savings may vary depending on configurations, workloads and vendors. [2]

Data Warehouse 72

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 72

Cloudera

FEBRUARY 28, 2019

The company is disrupting the grocery industry using an innovative delivery model and deep customer insights. In any subscription model business, customer retention is vital as profitability can quickly erode with rapid customer turnover and high customer acquisition costs. Getting to Know Customers at a Deeper Level.

Data Warehouse 56

Data Warehouse Forecasting Data-driven Dashboards 56

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CIO Business Intelligence

FEBRUARY 16, 2023

Hence the drive to provide ML as a service to the Data & Tech team’s internal customers. All they would have to do is just build their model and run with it,” he says. That step, primarily undertaken by developers and data architects, established data governance and data integration.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

Cloudera

OCTOBER 18, 2022

However, we quickly found that our needs were more complex than the capabilities provided by the SaaS vendor and we decided to turn the power of CDP Data Warehouse onto solving our own cloud spend problem. This brings data directly into the Data Warehouse , which is stored as Parquet into Hive/Impala tables on HDFS.

IT 88

IT Data Warehouse Dashboards Visualization 88

datapine

MARCH 31, 2022

This could involve anything from learning SQL to buying some textbooks on data warehouses. While analysts focus on historical data to understand current business performance, scientists focus more on data modeling and prescriptive analysis. They can help a company forecast demand, or anticipate fraud.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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 108

Dashboards Analytics Metadata Data Warehouse 108

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. zettabytes of data. FOUNDATIONS OF A MODERN DATA DRIVEN ORGANISATION.

Data-driven 94

Data-driven Data Lake Data Warehouse Cost-Benefit 94

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

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. billion in revenue.

Digital Transformation 139

Digital Transformation IoT KPI Data-driven 139

Cloudera

FEBRUARY 8, 2021

Having completed the Data Collection step in the previous blog, ECC’s next step in the data lifecycle is Data Enrichment. ECC will enrich the data collected and will make it available to be used in analysis and model creation later in the data lifecycle. 2 ECC data enrichment pipeline.

Manufacturing 117

Manufacturing Data Warehouse Sales Predictive Analytics 117

CIO Business Intelligence

MARCH 16, 2022

We are all familiar with the EMR (electronic medial records) adoption and maturity models designed by HIMSS (Healthcare Information and Management Systems Society). But honestly speaking, there exists no unique maturity model which measures the degree of digital transformation.

Technology 111

Technology Digital Transformation Data Warehouse Business Intelligence 111

CIO Business Intelligence

SEPTEMBER 6, 2022

“‘It’ being everything from how they collect and measure data, to how they understand it and their own glossary. It was very fragmented, and I brought it together into a hub-and-spoke model.”. 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 94

IT Forecasting Data Lake Data Warehouse 94

Smart Data Collective

OCTOBER 13, 2021

As we have already said, the challenge for companies is to extract value from data, and to do so it is necessary to have the best visualization tools. Over time, it is true that artificial intelligence and deep learning models will be help process these massive amounts of data (in fact, this is already being done in some fields).

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

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.

Insurance 109

Insurance Data Warehouse Manufacturing Forecasting 109

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 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

AWS Big Data

MARCH 26, 2024

Unified customer profile Graph databases excel in modeling customer interactions and relationships, offering a comprehensive view of the customer journey. The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud.

Data Strategy 80

Data Strategy Strategy Data Warehouse Prescriptive Analytics 80

Jedox

JANUARY 7, 2021

After data preparation comes demand planning, where planners need to constantly compare sales actuals vs. sales forecasts vs. plans. While many organizations already use some form of planning software, they’re often challenged by fragmented systems resulting in data silos and, therefore, inconsistent data.

Sales 81

Sales Forecasting Data Warehouse Finance 81

CIO Business Intelligence

JUNE 14, 2023

The certification focuses on the seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle management. They know how to assess data quality and understand data security, including row-level security and data sensitivity.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

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

DECEMBER 21, 2022

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. Lionel LLC, for instance, the American designer and importer of toy trains and model railroads based in Concord, N.C., But many find other solutions.

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

Cloudera

NOVEMBER 12, 2020

Moving to a cloud-only based model allows for flexible provisioning, but the costs accrued for that strategy rapidly negate the advantage of flexibility. . Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs. A solution.

Data Warehouse 103

Data Warehouse Reporting Risk Cost-Benefit 103

IBM Big Data Hub

OCTOBER 12, 2023

Connecting AI models to a myriad of data sources across cloud and on-premises environments AI models rely on vast amounts of data for training. Once trained and deployed, models also need reliable access to historical and real-time data to generate content, make recommendations, detect errors, send proactive alerts, etc.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76