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

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. Key ways to optimize insights for sales. Why sales and analysts should work together.

Sales 91

Sales Forecasting Snapshot Management 91

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.

Forecasting 98

Forecasting Data Warehouse Manufacturing Machine Learning 98

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

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

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

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 145

Visualization Key Performance Indicator Sales Advertising 145

AWS Big Data

JULY 13, 2023

Altron’s sales teams are now able to quickly refresh dashboards encompassing previously disparate datasets that are now centralized to get insights about sales pipelines and forecasts on their desktop or mobile. He has been leading the building of data warehouses and analytic solutions for the past 20 years.

Optimization 98

Optimization B2B Data Quality Sales 98

CIO Business Intelligence

SEPTEMBER 26, 2023

While scoping and modeling the project, IWB relied on support from SAP’s Global Center of Excellence and Customer Advisory, providing both business and application expertise to organizations engaged in SAP implementations and optimizing existing ones. Analytics would allow users to gain immediate insights into circumstances.

Machine Learning 105

Machine Learning Forecasting Measurement Data Warehouse 105

Cloudera

NOVEMBER 12, 2020

Burst to Cloud not only relieves pressure on your data center, but it also protects your VIP applications and users by giving them optimal performance without breaking your bank. Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs. You are probably hesitant.

Data Warehouse 104

Data Warehouse Reporting Risk Cost-Benefit 104

CIO Business Intelligence

JUNE 29, 2022

If you can’t make sense of your business data, you’re effectively flying blind. Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. Azure Data Factory.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

datapine

NOVEMBER 11, 2021

Improved decision-making: Making decisions based on data instead of human intuition can be defined as the core benefit of BI software. By optimizing every single department and area of your business with powerful insights extracted from your own data you will ensure your business succeeds in the long run. c) Join Data Sources.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

CIO Business Intelligence

JUNE 12, 2024

Throughout its digital journey, UK Power Networks has had to deal with the legacy technology landscape of three separate license areas and has built performance metrics, KPIs, and service level agreements (SLAs) to ensure reliability while advancing services and performance afforded by the cloud and connected data.

Digital Transformation 116

Digital Transformation Cost-Benefit Forecasting Metrics 116

AWS Big Data

FEBRUARY 1, 2023

This introduces the need for both polling and pushing the data to access and analyze in near-real time. From an operational standpoint, we designed a new shared responsibility model for data ingestion using AWS Glue instead of internal services (REST APIs) designed on Amazon EC2 to extract the data.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

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

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). Analyze: Using information and knowledge from the data the organization collected over time. an approved budget).

Business Intelligence 89

Business Intelligence IT Forecasting Data Warehouse 89

Cloudera

FEBRUARY 8, 2021

Reporting – delivering business insight (sales analysis and forecasting, budgeting as examples). Predictive Analytics – predictive analytics based upon AI and machine learning (predictive maintenance, demand-based inventory optimization as examples). 2 ECC data enrichment pipeline. The CDE steps are outlined below.

Manufacturing 118

Manufacturing Data Warehouse Sales Predictive Analytics 118

AWS Big Data

APRIL 17, 2023

We design, implement, maintain, and optimize award-winning ecommerce platforms end to end. We have built data pipelines to process, aggregate, and clean our data for our forecasting service. Solution overview While working with the Data Lab team, we decided to structure our efforts into two approaches.

Forecasting 98

Forecasting Cost-Benefit Optimization Testing 98

AWS Big Data

NOVEMBER 15, 2023

BMW Group uses 4,500 AWS Cloud accounts across the entire organization but is faced with the challenge of reducing unnecessary costs, optimizing spend, and having a central place to monitor costs. The ultimate goal is to raise awareness of cloud efficiency and optimize cloud utilization in a cost-effective and sustainable manner.

Dashboards 111

Dashboards Analytics Metadata Data Warehouse 111

IBM Big Data Hub

APRIL 28, 2022

To truly understand the data fabric’s value, let’s look at a retail supply chain use case where a data scientist wants to predict product back orders so that they can maintain optimal inventory levels and prevent customer churn. How does a data fabric impact the bottom line?

Data Warehouse 77

Data Warehouse Metadata Forecasting Predictive Modeling 77

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

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 Data Warehouse Business Intelligence 115

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.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

AWS Big Data

FEBRUARY 20, 2024

Managed AWS Analytics and Database services allow for each component of the solution, from ingestion to analysis, to be optimized for speed, with little management overhead. Transactional data storage In this solution, we use Amazon DynamoDB as our transactional data store.

Visualization 124

Visualization Cost-Benefit Optimization B2B 124

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

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

IBM Big Data Hub

OCTOBER 30, 2023

IBM and AWS partnership focuses on delivering solutions in areas like: Supply chain optimization with AI-infused Planning Analytics IBM Planning Analytics on AWS offers a powerful platform for supply chain optimization, blending IBM’s analytics expertise with AWS’s cloud capabilities.

Insurance 77

Insurance Data Warehouse Data-driven Unstructured Data 77

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

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

AWS Big Data

MARCH 29, 2024

Analyzing historical patterns allows you to optimize performance, identify issues proactively, and improve planning. By connecting the new observability metrics to interactive QuickSight dashboards, you can uncover daily, weekly, and monthly patterns to optimize AWS Glue job usage.

Metrics 128

Metrics Visualization Dashboards Publishing 128

Smart Data Collective

FEBRUARY 20, 2022

There are several recommendations for optimizing the costs of maintaining a DAM system. DAM market trends and forecasts. Another direction in the progress of database monitoring systems is the interoperability with so-called data warehouses, which are increasingly popular among corporate customers.

Behavioral Analytics 130

Behavioral Analytics Risk Machine Learning Interactive 130

CIO Business Intelligence

SEPTEMBER 8, 2022

Gathering and processing data quickly enables organizations to assess options and take action faster, leading to a variety of benefits, said Elitsa Krumova ( @Eli_Krumova ), a digital consultant, thought leader and technology influencer.

Cost-Benefit 122

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

Sisense

MAY 11, 2021

With our strategy in mind, we factored in our consumers and consuming services, which primarily are Sisense Fusion Analytics and Cloud Data Teams. Interestingly, this ad hoc analysis benefits from a single source of truth that is easy to query to allow for quickly querying of raw data alongside the cleanest data (i.e.,

Modeling 84

Modeling Big Data IoT Data Warehouse 84

CIO Business Intelligence

JUNE 14, 2023

CDP Data Analyst The Cloudera Data Platform (CDP) Data Analyst certification verifies the Cloudera skills and knowledge required for data analysts using CDP. They should also have experience with pattern detection, experimentation in business, optimization techniques, and time series forecasting.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

AWS Big Data

AUGUST 27, 2024

With Amazon EMR, you can take advantage of the power of these big data tools to process, analyze, and gain valuable business intelligence from vast amounts of data. Cost optimization is one of the pillars of the Well-Architected Framework. He is in data and analytical field for over 14 years.

Metrics 105

Metrics Dashboards Data Lake Optimization 105

Sisense

AUGUST 4, 2021

AI-driven explanations will calculate and show the relative impact of the factors selected, giving users more control over their data and displaying correlations between different elements over time. Optimize your cloud data warehouse cost forecasting.

Dashboards 52

Dashboards Analytics Data Warehouse Forecasting 52

Cloudera

OCTOBER 30, 2017

The result is sub-optimal, fragmented, and interoperability is often very limited. The vast volumes of big data in these environments imposes some challenges, by magnifying the long-term costs associated with renting cloud storage and compute resources.

Big Data 40

Big Data Forecasting Optimization Marketing 40