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. Bill Capture, too, has been made generally available. Another feature, dubbed NetSuite Capital, has also been added to the suite.

IT 128

IT Finance Sales Enterprise 128

Cloudera

OCTOBER 18, 2022

We were required to report back on a weekly basis with our progress and overall trajectory. 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. Project CloudCost — design.

IT 85

IT Data Warehouse Dashboards Visualization 85

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

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.

Data Lake 111

Data Lake Analytics Data Warehouse Machine Learning 111

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

Jet Global

MARCH 25, 2020

While JD Edwards transactional data is required to run period close reports, analyze trends, and prepare forecasts for planning and budgeting, it comes with a lot of complexity. JD Edwards World has no less than 1600 tables of data to support just its business applications. 1 – What are all your reporting needs? .

Reporting 45

Reporting Finance Sales Visualization 45

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. Pillar 3: Analytics The analytics pillar defines capabilities that help you generate insights on top of your customer data. Organizations using C360 achieved 43.9% faster time to market, and 19.1%

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

Cloudera

NOVEMBER 12, 2020

At these times, they run business growth reports, shareholder reports, and financial reports for their earnings calls, to name a few examples. Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs.

Data Warehouse 101

Data Warehouse Reporting Risk Cost-Benefit 101

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). 2 ECC data enrichment pipeline.

Manufacturing 114

Manufacturing Data Warehouse Sales Predictive Analytics 114

AWS Big Data

MARCH 29, 2024

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization. QuickSight lets you perform aggregate calculations on metrics for deeper analysis.

Metrics 103

Metrics Visualization Dashboards Interactive 103

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 95

Sales Forecasting Manufacturing Finance 95

CIO Business Intelligence

MAY 24, 2022

Building a semantic layer describing unified business and reporting definitions. 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.

Data-driven 92

Data-driven Data Lake Data Warehouse Cost-Benefit 92

Jet Global

MAY 6, 2020

That’s a big enough process on its own, but it’s accompanied by the need to update systems , policies, and reporting practices to reflect the details of ASC 606, which are extensive. NetSuite helps users meet regulatory expectations by automating key workflows: forecasting, allocation, recognition, reclassification, and auditing.

Forecasting 59

Forecasting Data Warehouse Software Reporting 59

Smarten

MAY 30, 2023

Integrate objects (Dashboards, Crosstab, Tabular, KPIs, Graphs, Reports, models, Clickless Analytics and more).’ They can use the data within those familiar solutions to gather and analyze data without manually exporting data or dealing with time-consuming delays and overburdened IT teams.

Slice and Dice 52

Slice and Dice Business Intelligence Cost-Benefit Dashboards 52

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. To get started, we need an Amazon Redshift Serverless data warehouse with the Redshift ML feature enabled and an Amazon SageMaker Studio environment with access to SageMaker Feature Store.

Modeling 62

Modeling Data Warehouse Machine Learning Testing 62

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 93

Dashboards Analytics Metadata Optimization 93

Jet Global

JANUARY 15, 2021

In the world of ERP software, switching costs include a number of hard costs like license fees, system analysis and design, customization, third-party add-ons, report design, and more, but many of those tasks also consume valuable staff time and management attention. Reporting as a Key Cost-driver.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

Octopai

JANUARY 8, 2020

You can’t do this easily without automated data lineage tools. Octopai’s metadata discovery and management suite provides visualization tools that empower you to see and report everything about sensitive customer data. A vital component of business forecasting is automated metadata queries. Not Yet CCPA Compliant?

Metadata 54

Metadata Key Performance Indicator OLAP Forecasting 54

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 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.” billion in revenue.

Digital Transformation 137

Digital Transformation IoT Data-driven KPI 137

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 91

IT Forecasting Data Lake Enterprise 91

AWS Big Data

JULY 13, 2023

The reporting zone is based on a set of Amazon Athena views, which are consumed for BI purposes. Athena exposes the content of the reporting zone for consumption. Athena exposes the content of the reporting zone for consumption. The content of the reporting zone is ingested via SPICE in Amazon QuickSight.

Optimization 89

Optimization B2B Data Quality Sales 89

Sisense

MARCH 14, 2021

AI-driven analytics is a complex field: The bottom line is that datasets of all kinds are rapidly growing, causing these organizations to investigate big data reporting tools or even approach companies whose whole business model can be summed up as “big data as a service” in order to make sense of them.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Jet Global

OCTOBER 22, 2020

Power BI provides users with some very nice dashboarding and reporting capabilities. Unfortunately, it also introduces a mountain of complexity into the reporting process. Let’s begin with an overview of how data analytics works for most business applications. This leads to the second option, which is a data warehouse.

Modeling 52

Modeling OLAP Reporting Sales 52

FineReport

JULY 22, 2021

Business Intelligence(BI) is defined as the concept of using modern data warehouse technology, online analysis and processing technology, data mining and data display technology for data analysis to achieve business value. Many companies do not know how to choose the right tool when selecting BI or report software.

Business Intelligence 52

Business Intelligence Sales Marketing Forecasting 52

datapine

MAY 29, 2019

Business intelligence architecture is a term used to describe standards and policies for organizing data with the help of computer-based techniques and technologies that create business intelligence systems used for online data visualization , reporting, and analysis. One of the BI architecture components is data warehousing.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

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 88

Technology Forecasting Data Warehouse Reporting 88

IBM Big Data Hub

OCTOBER 4, 2023

Why does AI need an open data lakehouse architecture? Consider this, a forecast by IDC shows that global spending on AI will surpass $300 billion in 2026, resulting in a compound annual growth rate (CAGR) of 26.5% from 2022 to 2026.

Data Lake 85

Data Lake Metadata Cost-Benefit Data Warehouse 85

CIO Business Intelligence

OCTOBER 10, 2022

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 . FHCS integrated its landscape built on SAP ERP and SAP Business Warehouse with specialized forecasting in SAP Integrated Business Planning (IBP).

Enterprise 52

Enterprise Forecasting Descriptive Analytics Digital Transformation 52

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 129

Online Analytical Processing OLAP Analytics Data Warehouse 129

CIO Business Intelligence

DECEMBER 21, 2022

BI software helps companies do just that by shepherding the right data into analytical reports and visualizations so that users can make informed decisions. Determining which BI delivery method fits best There are many traditional IT-managed ways to deliver reports and insights from data.

IT 128

IT Business Intelligence Sales Key Performance Indicator 128

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 78

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 78

Sisense

AUGUST 16, 2021

Every other type of company is quickly transforming into a data company, whether it knows it or not, and the rapidly growing volumes of information organizations deal with have to get stored someplace. >>>Want to simplify data preparation? Solve your cloud warehouse dilemma with a cloud-native BI platform.

Data Warehouse 52

Data Warehouse Analytics Cost-Benefit Visualization 52

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. All of that data puts a load on even the most powerful equipment. You can’t afford to waste their time on a few reports.

Big Data 104

Big Data Data-driven Recreation/Entertainment Data Governance 104

Alation

DECEMBER 14, 2021

Today, AWS is supporting growth in the bio-sciences, climate forecasts, driverless cars and many more new-age use cases. These included: Johnson & Johnson is migrating its entire enterprise data warehouse to the cloud to get better performance, reduced costs, and superior scalability. Other Keynote Highlights.

Data Lake 52

Data Lake Data Warehouse Machine Learning Cost-Benefit 52

IBM Big Data Hub

OCTOBER 27, 2022

Left to their own devices, they had resorted to using legacy reporting tools such as Excel that required manual gathering, slicing and dicing of data. Consequently, this data was siloed, unshareable, hard to use, lacked quality and governance controls, and could not be used in automated processes.

Slice and Dice 52

Slice and Dice Analytics Sales Business Intelligence 52

IBM Big Data Hub

OCTOBER 12, 2023

So, the greater the visibility and control an organization has over its AI models now, the better prepared it will be for whatever AI and data regulations are coming around the corner. Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Learn more about IBM watsonx 1.

Cost-Benefit 82

Cost-Benefit Metadata Data Governance Modeling 82