David Menninger's Analyst Perspectives

MAY 13, 2019

These factors plus the velocity of data today — the unrelentingly rapid rate at which it is generated, both in enterprise systems and on the internet — add to the challenge of getting the data into a form that can be used for business tasks.

Business Analytics 156

Business Analytics Big Data Analytics Enterprise 156

IBM Big Data Hub

DECEMBER 16, 2022

Today’s data leaders are expected to make organizations run more efficiently, improve business value, and foster innovation. Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise. Building the foundation: data architecture.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

datapine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? 4) How Do BI And BA Apply To Business? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? What’s the difference between Business Analytics and Business Intelligence?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics 133

Data Analytics Diagnostic Analytics Management Analytics 133

datapine

APRIL 15, 2020

When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. Therefore, we will walk you through this beginner’s guide on agile business intelligence and analytics to help you understand how they work and the methodology behind them.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

CIO Business Intelligence

MARCH 4, 2021

Business intelligence (BI) platforms are evolving. By adding artificial intelligence and machine learning, companies are transforming data dashboards and business analytics into more comprehensive decision support platforms.

Machine Learning 98

Machine Learning Dashboards Business Intelligence Business Analytics 98

Smarten

APRIL 12, 2023

Smarten announces the launch of SnapShot Anomaly Monitoring Alerts for Smarten Augmented Analytics. SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Smarten

JUNE 27, 2018

How Can SVM Classification Analysis Benefit Business Analytics? Let’s examine two business use cases where SVM Classification can benefit the organization. Fraud Analysis – Based on various bills submitted for employee reimbursement for food, travel, medical expenses etc., Use Case – 1. About Smarten.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 143

Business Intelligence Dashboards Data mining OLAP 143

Smarten

JUNE 17, 2022

Contact the Smarten team for more information on Smarten Augmented Analytics solution. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

CIO Business Intelligence

OCTOBER 7, 2022

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. Top 9 business intelligence certifications.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

Smarten

JUNE 29, 2018

’ ARIMAX is related to the ARIMA technique but, while ARIMA is suitable for datasets that are univariate (see the article, entitled’ What is ARIMA Forecasting and How Can it Be Used for Enterprise Analysis?’). How Can ARIMAX Forecasting Be Used for Enterprise Analysis? About Smarten.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Smarten

NOVEMBER 8, 2022

“By the end of this course, participants will understand the role and value of Citizen Data Scientists and the benefits to the organization, as well as the integration points and cultural shifts that will position analytical professionals and Citizen Data Scientists to work more productively,” Patel says. About Smarten.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

Smarten

JUNE 26, 2018

How Can the ARIMA Forecasting Method Be Used for Enterprise Analysis? Business Problem: A pharmaceutical company wants to predict the sales of a drug for the next two months, based on drug sales data from the past 12 months. It converts non-stationary data to stationary to allow for a fairly constant level over time. About Smarten.

Forecasting 40

Forecasting Enterprise IT Sales 40

Smarten

JUNE 29, 2018

How Can the Karl Pearson Correlation Method Be Used to Target Enterprise Analytical Needs? Business Problem: A bank wants to find the correlation between income and credit card delinquency rate of credit card holders. must be converted to numeric ranking, i.e., 1,2,3,4,5. About Smarten.

Enterprise 40

Enterprise IT Statistics Business Intelligence 40

Smarten

JUNE 29, 2018

How Can the Enterprise Use Simple Linear Regression to Analyze Data? Business Problem: An eCommerce company wants to measure the impact of product price on product sales. This method of analysis can handle only two variables, namely one predictor and one dependent variable. Use Case – 1. About Smarten.

Enterprise 40

Enterprise Sales Statistics Business Intelligence 40

Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Smarten

JUNE 29, 2018

How Can KNN Classification Help an Enterprise? Credit/Loan Approval Analysis – Given a list of client transactional attributes, the business can predict whether a client will default on a bank loan. KNN Classification analysis can be useful in evaluating many types of data. About Smarten.

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 40

Jet Global

JULY 21, 2021

Offering a scalable, cloud-based platform with integrations to key enterprise systems such as Xero, Acumatica, Microsoft Dynamics Business Central, and NetSuite, CALUMO provides an all-in-one budgeting and planning solution with a modern UI. “Our missions are so tightly aligned. About insightsoftware. About CALUMO.

Finance 98

Finance Reporting Marketing Software 98

Smarten

JUNE 29, 2018

How Can Naïve Bayes Be Used for Enterprise Analysis? The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40

Smarten

JUNE 25, 2018

This method is used to find groups that have not been explicitly labeled in the data, and it can be used to confirm business assumptions about what types of groups exist, or to identify unknown groups in complex data sets. How Does an Enterprise Use the KMeans Clustering Algorithm to Analyze Data? About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

CIO Business Intelligence

JULY 28, 2023

Engaged customers are vital to the success of any business. Analytics is central to understanding what works for your customers. Enterprises must tackle the issue of trust head-on. As such, enterprises must continually reassure customers that their data is secure with them and adhere to regulatory compliance practices.

Strategy 84

Strategy Enterprise Forecasting Risk 84

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

FineReport

JULY 6, 2022

With the advancement of digitization, various business intelligence tools have gradually emerged. Some BI tools are devoted to helping companies’ data analysis and business information management, gradually becoming the leaders of the BI market. Introduction of Power BI, Tableau, and FineReport. From Microsoft Power BI.

Dashboards 52

Dashboards Visualization Business Intelligence Reporting 52

CIO Business Intelligence

OCTOBER 17, 2023

A large enterprise with a hybrid network requires modern technology to secure it. Pillar 4: Business analytics With the world’s largest security cloud processing more than 300 billion transactions per day, Zscaler provides unparalleled business analytics.

Digital Transformation 140

Digital Transformation B2B IoT Cost-Benefit 140

datapine

APRIL 14, 2022

When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs. Behind the scenes.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

Cloudera

OCTOBER 4, 2023

Ability to handle complex analytic queries — especially when we’re using real-time analytics to augment existing business dashboards and reports with large, complex, long-running business intelligence queries typical for those use cases, and not having the real-time dimension slow these down in any way.

Data Warehouse 83

Data Warehouse Experimentation Cost-Benefit Dashboards 83

Sisense

FEBRUARY 1, 2021

An engineer may focus on PDM functionality, while business managers and executives in BI are more likely focused on an enterprise-level solution. An enterprise software selection team should represent all aspects of business to ensure the company makes a decision that will fit the needs of all stakeholders.

Management 52

Management Analytics Manufacturing Cost-Benefit 52

Jet Global

FEBRUARY 5, 2019

states that about 40 percent of enterprise data is either inaccurate, incomplete, or unavailable. Data is often imperfect and incomplete, but with smart data management, effective data governance, and centralized data storage, you can be well on your way to becoming a fully data-driven enterprise. . Gartner study ?states

Data Quality 69

Data Quality Data Warehouse Business Intelligence Data Governance 69

IBM Big Data Hub

NOVEMBER 2, 2022

Even more, organizations need the ability to bring data insights to the right users to make faster, more effective business decisions amid unpredictable market changes. Meeting business goals with data insights. This suite of solutions helps transform the way clients can access, manage and consume business insights.

Data-driven 62

Data-driven Business Analytics Analytics Forecasting 62

IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes.

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

FineReport

APRIL 11, 2023

In today’s fast-paced business environment, making informed decisions based on accurate and up-to-date information is crucial for achieving success. With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

FineReport

MARCH 24, 2024

They collaborate with cross-functional teams to meet organizational objectives and work across diverse sectors, including business intelligence, finance, marketing, and consulting. Excel: Widely used for preliminary data analysis and modeling, featuring advanced business analytics options.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

MARCH 31, 2023

Top skills for business analysts include project management, data analysis, business analysis, user stories, and user acceptance, according to Zippia. And the top employers of business analysts include Google, Citi, JPMorgan Chase & Co., Amazon, Capgemini, and IBM.

Business Analysis 95

Business Analysis Testing Business Analytics Statistics 95

Smarten

JUNE 28, 2018

Business Problem: The enterprise wishes to organize customers into groups/segments based on similar traits, product preferences and expectations. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

IT 40

IT Business Intelligence Predictive Modeling Risk 40

FineReport

MAY 23, 2021

FineReport is a report-making software designed for enterprises to deal with the needs for various, frequent, or complex reports. It has been recognized in the Honorable Mention of the 2021 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms. Sisense is a leading agile business analytics platform.

Software 98

Software Reporting Dashboards Visualization 98

Smart Data Collective

AUGUST 7, 2019

With the role of marketers in mind, a CDP can not only analyze data but also provide additional functionalities such as business intelligence and reporting. As social media platforms become integral in the operation of a business, it necessitates the use of tools that can make sense of data gathered from these sources.

Data Analytics 99

Data Analytics Analytics Big Data Data Lake 99