Sisense

JANUARY 6, 2020

Analytics and sales should partner to forecast new business revenue and manage pipeline, because sales teams that have an analyst dedicated to their data and trends, drive insights that optimize workflows and decision making. Then, use a data model to model the data into a single unified source of truth. Was it pushed?

Sales 91

Sales Forecasting Snapshot Management 91

Smart Data Collective

OCTOBER 13, 2021

In the era of Big Data, the Web, the Cloud and the huge explosion in data volume and diversity, companies cannot afford to store and replicate all the information they need for their business. Data Virtualization allows accessing them from a single point, replicating them only when strictly necessary.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

CIO Business Intelligence

APRIL 8, 2025

As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprises core has never been more significant. In healthcare, missing treatment data or inconsistent coding undermines clinical AI models and affects patient safety.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

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

Sisense

DECEMBER 3, 2019

On-demand compute resources and MPP cloud data warehouses emerged. Yet 15 years after the launch of AWS , most organizations still aren’t meeting their goals of delivering value from data to the organization. Optimize raw data using materialized views. In-Warehouse Data Prep with Python and R.

Analytics 90

Analytics Data Warehouse Digital Transformation Forecasting 90

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

CIO Business Intelligence

FEBRUARY 15, 2024

The dialogue with the board and with human resources is fruitful, and the managers are receptive, which greatly facilitates the digital strategy.” “But we also have our own internal data that objectively measures needs and results, and helps us communicate with top management.” C-suite support for investments is essential.

Strategy 134

Strategy Digital Transformation Cost-Benefit Forecasting 134

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 118

Manufacturing Data Warehouse Sales Predictive Analytics 118

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

SEPTEMBER 26, 2023

Already, SAP’s energy management data (EDM) solution was being used to store information gathered by the smart meters measuring the power production of each of the various solar PV systems. The problem was that the smart meters were only feeding their data once a day.

Machine Learning 105

Machine Learning Forecasting Measurement Data Warehouse 105

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). Information systems provide different tools to support decision makers of many levels within an organization.

Business Intelligence 89

Business Intelligence IT Forecasting Data Warehouse 89

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 ). What is the mechanism behind it?

Online Analytical Processing 139

Online Analytical Processing OLAP Analytics Data Warehouse 139

datapine

NOVEMBER 11, 2021

If you are looking to enter the BI software world but don’t know which features you should look for before investing in one, this post will cover the top business intelligence features and benefits to help you make an informed decision. Your Chance: Want to take your data analysis to the next level? c) Join Data Sources.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

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. In this blog post, we are going to cover the role of business intelligence in demand forecasting, an area of predictive analytics focused on customer demand.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

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). The digital transformation of any healthcare entity has a deep dependency on the underlying hospital information system.

Technology 115

Technology Digital Transformation Data Warehouse Business Intelligence 115

CIO Business Intelligence

OCTOBER 13, 2022

The financial services industry must adhere to a different set of security requirements, from protecting Personal Identifiable Information (PII) to safeguards that meet Payment Card Industry (PCI) compliance, meant to protect credit card holder’s information. Next stop: Migrating a complex forecasting module planned for later in 2022.

Insurance 115

Insurance Data Warehouse Manufacturing Forecasting 115

CIO Business Intelligence

DECEMBER 21, 2022

“For businesses to stay in touch with the market, be responsive, and create products that connect with consumers, it’s important to harness the insights that come out of that information.” Stout, for instance, explains how Schellman addresses integrating its customer relationship management (CRM) and financial data. “A

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

DataRobot

JANUARY 20, 2022

The UK’s National Health Service (NHS) will be legally organized into Integrated Care Systems from April 1, 2022, and this convergence sets a mandate for an acceleration of data integration, intelligence creation, and forecasting across regions. Data-driven clinicians and healthcare professionals.

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

Jedox

MAY 20, 2021

Educate your colleagues about the importance of integrating data. After all, their team also benefits from not having to deal with data exports on a regular basis. A data warehouse is a good first step to enable Finance, Sales, and production planners to work more collaboratively based on the same data.

Sales 96

Sales Forecasting Manufacturing Finance 96

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 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. How does a data fabric impact the bottom line?

Data Warehouse 77

Data Warehouse Metadata Forecasting Predictive Modeling 77

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

Smart Data Collective

JULY 20, 2021

This tool helps professionals collect real-time pipeline trends, sales engagement, and historical performance that help sales leaders revolutionize forecasting by predicting the sales revenue efficiently. 7 Conga Composer: Conga composer is an effective integration toolthat helps you manage and update the data.

Big Data 142

Big Data Sales Marketing Software 142

Octopai

JANUARY 8, 2020

That means that now most companies that do business with consumers in California have to protect those customers’ personal data. CCPA goes further than the European Union’s General Data Protection Regulation ( GDPR ) in what constitutes “personal data.” You can’t do this easily without automated data lineage tools.

Metadata 72

Metadata Key Performance Indicator OLAP Forecasting 72

Smart Data Collective

OCTOBER 17, 2022

This proliferation of data and the methods we use to safeguard it is accompanied by market changes — economic, technical, and alterations in customer behavior and marketing strategies , to mention a few. What’s causing the data explosion? Big data analytics from 2022 show a dramatic surge in information consumption.

Big Data 119

Big Data Data-driven Recreation/Entertainment Data Governance 119

Smart Data Collective

FEBRUARY 20, 2022

DAM takes it a step further by logging all user actions, including views of confidential information. For instance, extensive access control is one of the features that emerged in the course of DAM evolution, allowing you to find out who viewed specific data. DAM market trends and forecasts. Stopping insiders in their tracks.

Behavioral Analytics 130

Behavioral Analytics Risk Machine Learning Interactive 130

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

SEPTEMBER 6, 2022

He found a rich collection of data assets, including information on over 2.2 Behind the flagship brand, though, he says data remained scattered in siloes across many legacy business units and applications, with limited automation, many glossaries, and complex data lineage, and stewardship making it hard to govern and audit.

IT 98

IT Forecasting Data Lake Data Warehouse 98

CIO Business Intelligence

JUNE 21, 2023

We were one of the most impacted industries in the pandemic economy,” says Peck, who joined Sysco as EVP and chief information and digital officer in December 2020. The base engine for the e-commerce and data warehouse is all custom code. The pandemic forced us to review our company and the entire industry.”

IT 94

IT B2B Digital Transformation Sales 94

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. It requires completion of the CAP exam and adherence to the CAP Code of Ethics.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

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. This is often made simpler if the number of platforms is kept to a minimum.

Cost-Benefit 122

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

AWS Big Data

NOVEMBER 15, 2023

For more information on this foundation, refer to A Detailed Overview of the Cost Intelligence Dashboard. 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.

Dashboards 107

Dashboards Analytics Metadata Data Warehouse 107

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 96

Cost-Benefit Data Lake Data Warehouse Enterprise 96

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 72

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 72

Jet Global

JUNE 5, 2019

BI software offers enterprise businesses the opportunity to connect disparate data sources into one unified source, collate and structure the data, and offer an interface for end-users to extract reports and dashboards that can drive more informed business decisions. Let’s introduce the concept of data mining.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

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. As a data scientist building an ML model, you may have access to the identifying information but not the transaction information, and having access to a feature store solves this.

Modeling 69

Modeling Data Warehouse Machine Learning Testing 69

CIO Business Intelligence

OCTOBER 10, 2022

Information was collected from multiple, disparate data sources, and planners were using different tools. The company also wanted to improve forecasting accuracy by harnessing the power of intelligent technologies. Achieve 10x faster-planning cycles despite having larger data volumes .

Enterprise 52

Enterprise Forecasting Descriptive Analytics Data Warehouse 52