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

AWS Big Data

MAY 17, 2023

During that same time, AWS has been focused on helping customers manage their ever-growing volumes of data with tools like Amazon Redshift , the first fully managed, petabyte-scale cloud data warehouse. From 2019 to now, Wang reports the amount of data the company holds has grown by a factor of 20.

Data Warehouse 109

Data Warehouse Cost-Benefit Sales Data-driven 109

FineReport

DECEMBER 25, 2019

Reports are the basic business requirements of an enterprise. It can help enterprises make better use of data if different data can be presented by appropriate reports. Top 10 Types of Report. Detail Report. Top 10 Types of Report. Detail Report. Group Report. Pagination Report.

Reporting 98

Reporting Metrics ROI KPI 98

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads.

Management 92

Management Data Warehouse Metrics Dashboards 92

datapine

JANUARY 24, 2021

Based on your company’s strategy, goals, budget, and target customers you should prepare a set of questions that will smoothly walk you through the online data analysis and help you arrive at relevant insights. For example, you need to develop a sales strategy and increase revenue. Data Dan: (Rolls eyes). Ok, that’s it.

IT 317

IT Statistics KPI Data-driven 317

datapine

SEPTEMBER 29, 2022

In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. But first, let’s define what data quality actually is. 4 – Data Reporting.

Data Quality 241

Data Quality Metrics Data-driven Management 241

IBM Big Data Hub

AUGUST 28, 2023

Data analytics in the publishing industry With such a widespread global operation, Macmillan Publishers has a long history of investing in technology that can source deep analytical information about sales, inventory and transportation of their titles in the market. This contributed to the need for more analytics by our users.

Publishing 54

Publishing Analytics Business Intelligence Operational Reporting 54

datapine

MAY 21, 2019

In addition to increasing the price of deployment, setting up these data warehouses and processors also impacted expensive IT labor resources. Check out this investor relations dashboard example below, part of our management dashboard series: **click to enlarge**. They also need these tools to generate a true ROI.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

Jet Global

OCTOBER 7, 2020

For organizations considering a move to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM), or for those in the early stages of an implementation project, defining a clear strategy for curating data is a key to developing a comprehensive approach to reporting and analytics. What Are Data Entities?

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

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

Cloudera

JANUARY 20, 2021

Consider that Manufacturing’s Industry Internet of Things (IIOT) was valued at $161b with an impressive 25% growth rate, the Connected Car market will be valued at $225b by 2027 with a 17% growth rate, or that in the first three months of 2020, retailers realized ten years of digital sales penetration in just three months.

Digital Transformation 109

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 109

Jet Global

APRIL 20, 2020

CRM software has gone through a similar transformation, starting with sales force automation, and more recently evolving into a new breed of products that support digital marketing campaigns through email, social media, and online advertising. A new paradigm in reporting and analysis is emerging.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

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

FineReport

JULY 23, 2020

In today’s fast-paced technological environment, everyone’s focus is often on the concept such as “data middle-platform”, “data warehouse”, and so on. Many people often overlook the basis of company operations: reports. For IT engineers, the main difficulties in making reports are. Sales Report.

IT 98

IT Reporting Visualization Data Warehouse 98

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. Supply Chain Dashboard (by FineReport). Sales business intelligence examples.

Business Intelligence 52

Business Intelligence Sales Marketing Forecasting 52

Peter James Thomas

APRIL 3, 2020

A skilled practitioner, hard at work developing elements of a Structured Reporting Framework. © I have been very much focussing on the start of a data journey in a series of recent articles about Data Strategy [3]. In my experience, Structured Reporting Frameworks are much misunderstood. Introduction. Chapter One.

Dashboards 61

Dashboards Reporting Sales Data Lake 61

CIO Business Intelligence

APRIL 26, 2022

Fortunately for Nallani, the ELT — including the CEO and CFO — were willing to tackle the technical challenges that would bolster the business even if it meant dumping static reports and learning to use executive dashboards that yielded real-time data and actionable insights. The 4th C: Change management. Washington, D.C.;

Data Lake 98

Data Lake Dashboards Recreation/Entertainment Sales 98

Jet Global

APRIL 2, 2019

But business intelligence software , built to give businesses the opportunity to collect, unify, sort, tag, analyze, and report on the vast amounts of data at their disposal, must be a focus for businesses hoping to gain an AI advantage down the road. It All Starts with Data. Enter data warehousing.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

Sisense

APRIL 24, 2019

In organizations that operate without a data warehouse or separate analytical database for reporting, the only source of the latest and up-to-date data may be in the live production database. Taxing the production database for exploratory or duplicative reports is an unnecessary risk. FROM Customers, Sales.

Sales 111

Sales Optimization Data Warehouse Reporting 111

Occam's Razor

APRIL 4, 2011

What's the difference between web reporting and web analysis? So here I what I actually said: If you see a data puke then you know you are looking at the result of web reporting, even if it is called a dashboard. Learn more about it here: Action Dashboard.]. Someone asked me this very simple question today.

Reporting 127

Reporting Metrics Dashboards Statistics 127

Jet Global

JUNE 5, 2019

The path to doing so begins with the quality and volume of data they are able to collect. Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Jet Global

AUGUST 14, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. So how is the data extracted? By using Structured Query Language, or SQL, the language used to manipulate and extract data stored in cubes.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Jet Global

MAY 1, 2020

Recently released is a report by Gartner about all the things that can go wrong in your BI implementation. In Gartner’s report, an analyst goes to great pains to say that there is “much more risk associated to non-technology issues than there is to deploying the infrastructure, tools, and apps.”. Learn how to prepare your data for BI.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

AWS Big Data

APRIL 20, 2023

Apache Spark enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse. Amazon Redshift integration for Apache Spark helps developers seamlessly build and run Apache Spark applications on Amazon Redshift data.

Data Lake 73

Data Lake Data Warehouse Sales Data-driven 73

Smart Data Collective

JULY 22, 2019

Having trouble making sense of, analyzing and organizing all the data you’re dealing with? A BI tool can collect, analyze, and convert data for you into easily comprehensible reports. Zoho Analytics is popular business intelligence, reporting, and analytics software from the creators of a popular web-based solution Zoho Office.

Business Intelligence 81

Business Intelligence Cost-Benefit Dashboards Visualization 81

FineReport

MAY 9, 2020

FineReport is reporting software adopted the 3-tier architecture. . The data layer of FineReport is responsible for data management, including data collection, ETL, building a data warehouse, etc. It supports multiple data sources and data integration. . You might also be interested in….

Reporting 52

Reporting Sales Data Warehouse Software 52

Jet Global

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. Sales and customer service interactions are tracked in CRM. Spot Problems (and Opportunities) Early.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

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. – KPI planning – Are your dashboard key performance indicators (KPIs) telling the whole story?

Metadata 54

Metadata Key Performance Indicator OLAP Forecasting 54

IBM Big Data Hub

DECEMBER 16, 2022

It uses metadata and data management tools to organize all data assets within your organization. It synthesizes the information across your data ecosystem—from data lakes, data warehouses, and other data repositories—to empower authorized users to search for and access business-ready data for their projects and initiatives.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

datapine

JULY 1, 2020

With the rate of available data growing exponentially, it’s crucial to work with the right online reporting tools to not only segment, curate, and analyze large data sets but also uncover answers to new questions that you didn’t even know existed. Your Chance: Want to benefit from modern ad hoc reporting?

Reporting 260

Reporting Cost-Benefit Dashboards Visualization 260

Jet Global

OCTOBER 2, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. So how is the data extracted? By using Structured Query Language, or SQL, the language used to manipulate and extract data stored in cubes.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

FineReport

APRIL 11, 2023

With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments. Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

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

Birst BI

OCTOBER 30, 2018

This may involve integrating different technologies, like cloud sources, on-premise databases, data warehouses and even spreadsheets. Add the predictive logic to the data model. With the source data now fully integrated into an analytic model, add and test different predictive algorithms.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

InsightOut

AUGUST 6, 2021

The ability to embed the charts directly over or under the data, especially when dynamic features of Excel charts are enabled, allows users to toggle back and forth between the image and the data at will. Experience the power of business intelligence and data visualization with InsightOut.

Visualization 52

Visualization Software Testing Data Warehouse 52

Birst BI

NOVEMBER 20, 2018

After a few iterations, this results in a well-defined business question with identifiable supporting data. A foundational data analysis tool is Statistics , and everyone intuitively applies it daily. The next step is to prepare the data through feature engineering.

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

Jet Global

DECEMBER 2, 2019

If you’re stumbling across this post through the sea of results researching “business intelligence vs. reporting,” then maybe you’re already familiar with the unlimited interpretations and definitions of these two practices. How to Compare Reporting & BI Solutions. in “business intelligence vs. reporting” is a bit misleading.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69