datapine

MARCH 31, 2022

Does data excite, inspire, or even amaze you? Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5 4) Business Intelligence Job Roles. 5) Main Challenges Of A BI Career. It’s Flexible.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

FineReport

JUNE 11, 2021

As companies striving to embrace digital transformation and become data-driven, business intelligence and analytics skills and experience are essential to building a data-savvy team. And do you know what the key to unlocking value from data is? Note: the reports and dashboards samples used here are made with FineReport.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

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

datapine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips. Learn here!

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

Jet Global

APRIL 9, 2021

Although Oracle ERP Cloud provides very robust functionality, for the users in your organization who need to design, run, and distribute operational reports, the ERP’s complexity presents some significant challenges. As is the case with many ERPs, Oracle’s offering is not purpose-built for financial and operational reporting.

Operational Reporting 52

Operational Reporting Reporting Finance Interactive 52

Laminar Security

DECEMBER 1, 2023

Cloud data security is one of the most critical, yet most challenging aspects of doing business in the age of cloud. As more organizations migrate their data to the cloud, they face an increasing range of risks and threats, including data breaches, data leakage, data loss, data misuse, data compliance violations, shadow data and more.

Modeling 52

Modeling Cost-Benefit Risk Data-driven 52

IBM Big Data Hub

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

FineReport

JUNE 11, 2021

As companies striving to embrace digital transformation and become data-driven, business intelligence and analytics skills and experience are essential to building a data-savvy team. And do you know what the key to unlocking value from data is? Note: the reports and dashboards samples used here are made with FineReport.

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

Alation

NOVEMBER 28, 2022

Alation is excited to unveil Alation Connected Sheets , a new product that brings trusted, fresh data directly to spreadsheet users. Now, “spreadsheet jockeys” can pull the most current, compliant data directly from a range of cloud sources, without having to know SQL or depend on a data team to deliver it.

Descriptive Analytics 52

Descriptive Analytics Risk Sales Data-driven 52

CIO Business Intelligence

MARCH 29, 2022

The same principle applies to getting value from data. Organizations may acquire a lot of data, but they aren’t getting much value from it. It is estimated that nearly 75% of the data that enterprises collect remains unused, and thus, the value is not realized. What is data waste, and why does it happen?

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

Laminar Security

DECEMBER 11, 2023

Data leakage is one of the most serious threats to any organization that handles sensitive or confidential data. Data leakage can result in financial losses, reputational damage, legal liabilities, and regulatory penalties. Data leakage can occur from various sources, such as hackers, malware, phishing, or external devices.

Behavioral Analytics 55

Behavioral Analytics Machine Learning Risk Cost-Benefit 55

BizAcuity

MAY 24, 2022

IaaS provides a platform for compute, data storage and networking capabilities. IaaS is mainly used for developing softwares (testing and development, batch processing), hosting web applications and data analysis. Thanks to the third party tools and other app development services, PaaS is an effective platform to develop applications.

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

CIO Business Intelligence

MARCH 30, 2022

For organizations looking to move beyond stale reports, decision intelligence holds promise, giving them the ability to process large amounts of data with a sophisticated mix of tools such as artificial intelligence and machine learning to transform data dashboards and business analytics into more comprehensive decision support platforms.

Machine Learning 144

Machine Learning Risk Testing Data-driven 144

Smart Data Collective

JULY 22, 2019

Big or small, every business needs good tools to analyze data and develop the most suitable business strategy based on the information they get. Business intelligence tools are means that help companies get insights from their data and get a better understanding of what directions and trends to follow.

Business Intelligence 80

Business Intelligence Cost-Benefit Dashboards Visualization 80

Octopai

APRIL 16, 2020

Some data teams working remotely are making the most of the situation with advanced metadata management tools that help them deliver faster and more accurately, ensuring business as usual, even during coronavirus. Being able to utilize the data your company already has in storage is as important as processing new data.

Metadata 59

Metadata Business Intelligence Uncertainty Data Quality 59

Smarten

JUNE 29, 2018

In order to better understand the application of the Karl Pearson Correlation technique, let’s look at a sample analysis showing a positive correlation among data points. Correlation analysis is applied only to numeric values, so if the data is not in numeric form, it must be converted. About Smarten.

Enterprise 40

Enterprise IT Statistics Business Intelligence 40

Sisense

OCTOBER 3, 2021

We start with a healthcare double-header — two stories about using data to improve medical care outcomes. Then we cover pharma’s efforts at boosting patient results with data and apps. Finally, dig into G2 Crowd’s newest fall research and see where the top data and analytics companies stack up. Let’s jump in! >>>

Reporting 52

Reporting Analytics Software Finance 52

Smarten

JUNE 29, 2018

Here is a sample of simple linear regression analysis, considering the effects of temperature on crop yield: Simple linear regression is limited to predicting numeric output i.e., dependent variable has to be numeric in nature. How Can the Enterprise Use Simple Linear Regression to Analyze Data? Use Case – 1. Use Case – 2.

Enterprise 40

Enterprise Sales Statistics Business Intelligence 40

Smarten

JUNE 29, 2018

Linear regression is limited to predicting numeric output so the dependent variable has to be numeric in nature. Input Data: Predictor/independent variables include product price data, product promotions data such as discounts, flag representing presence/absence of seasonality. Use Case – 1. Use Case – 2.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Smarten

JUNE 29, 2018

Based on these labels, the bank can easily make a decision on whether to give a loan to an applicant and the credit limit and interest rate each applicant is eligible for based on the amount of risk involved. In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Birst BI

MAY 29, 2018

These adoption rates include all the users of the BI system – administrators who manage the system, analysts who build reports, and business users who consume reports for better decision making. This underutilization ignores employees outside the BI system who could be using valuable data to make better decisions.

Slice and Dice 74

Slice and Dice Analytics Business Intelligence Machine Learning 74

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

AWS Big Data

AUGUST 16, 2023

Automated Data Analytics (ADA) on AWS is an AWS solution that enables you to derive meaningful insights from data in a matter of minutes through a simple and intuitive user interface. ADA offers an AWS-native data analytics platform that is ready to use out of the box by data analysts for a variety of use cases.

Data Analytics 74

Data Analytics Analytics Visualization Software 74

Smarten

JUNE 29, 2018

The KNN (K Nearest Neighbors) algorithm analyzes all available data points and classifies this data, then classifies new cases based on these established categories. KNN Classification analysis can be useful in evaluating many types of data. It is useful for recognizing patterns and for estimating. Use Case – 1.

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 40

Birst BI

AUGUST 23, 2018

However, there are simply not enough data scientists in the world to deliver on the AI potential. Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. The Outsourcing of Data Science Functions.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Smarten

MAY 24, 2017

To accurately predict and plan, every enterprise must select a business intelligence solution that will support their efforts and provide business users with a rich set of features and tools. One of the most important elements of advanced data discovery and advanced analytics tools is plug n’ play predictive analysis and forecasting tools.

Forecasting 40

Forecasting Business Intelligence Sales Predictive Analytics 40

Andrew White

NOVEMBER 14, 2022

The State of Play with Data and Analytics Governance. Data and analytics (or data, or information) governance is a shambles for many organizations, and a success for very few. See Data and Analytics Governance as a Business Capability: A Gartner Trend Insight Report. Many organizations are doing just that.

Data Integration 52

Data Integration Technology Data Governance Analytics 52

O'Reilly on Data

NOVEMBER 28, 2023

As of November 2023: Two-thirds (67%) of our survey respondents report that their companies are using generative AI. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Two-thirds of our survey’s respondents (67%) report that their companies are using generative AI.

Enterprise 269

Enterprise Modeling Testing Reporting 269

Ontotext

OCTOBER 28, 2021

It demonstrates how GraphDB and metaphactory work together and how you can employ the platform’s intuitive and out-of-the-box search, visualization and authoring components to empower end users to consume data from your knowledge graph. You can also listen to our on-demand webinar on the same topic or check out our use case brief.

Visualization 52

Visualization Interactive Knowledge Discovery Modeling 52

The Unofficial Google Data Science Blog

OCTOBER 31, 2016

By PATRICK RILEY For a number of years, I led the data science team for Google Search logs. Some people seemed to be naturally good at doing this kind of high quality data analysis. To answer those questions, I put together a document shared Google-wide which I optimistically and simply titled “Good Data Analysis.”

Metrics 107

Metrics Measurement Statistics Data Collection 107

FineReport

JULY 16, 2021

Among these problems, one is that the third party on market data analysis platform or enterprises’ own platforms have been unable to meet the needs of business development. With the advancement of information construction, enterprises have accumulated massive data base. Data Warehouse. BI INTELLIGENCE (from google).

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

Laminar Security

AUGUST 23, 2023

The cloud allows employees to access data from almost anywhere at any time, which enhances resource accessibility, improves team collaboration, and simplifies administration. This speed and flexibility give developers and data scientists the right tools for staying at the forefront of innovation.

Cost-Benefit 52

Cost-Benefit Risk Digital Transformation Strategy 52

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Jet Global

FEBRUARY 6, 2024

The landscape of business intelligence (BI) is undergoing a metamorphosis, demanding solutions that transcend static reports and siloed data. and self-service limitations of BI 2.0. No longer passive consumers of information, you become master storytellers, captivating audiences with visual masterpieces crafted from data.

Dashboards 52

Dashboards Visualization Data-driven Reporting 52

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Strategy 114

Strategy Marketing Unstructured Data Data Science 114

FineReport

NOVEMBER 25, 2020

Dashboard reporting refers to putting the relevant business metrics and KPIs in one interface, presenting them visually, dynamic, and in real-time, in the dashboard formats. With the advent of modern dashboard reporting tools, you can conveniently visualize your data into dashboards and reports and extract insightful information from it.

Dashboards 98

Dashboards Reporting Visualization Snapshot 98