David Menninger's Analyst Perspectives

MAY 7, 2020

He also provides an assessment of the risks organizations face in working with data lakes and offers recommendations for maximizing the potential of data. He explains the term “data lake,” describes common use cases and shares his views on some of the latest market trends.

Data Lake 287

Data Lake Data Warehouse Risk Marketing 287

CIO Business Intelligence

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). It is frequently used for risk analysis.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

datapine

FEBRUARY 17, 2023

A recent study by Experian, shows that 84% of surveyed businesses said that there has been more demand for data insights within the company since COVID-19. That said, data and analytics are only valuable if you know how to use them to your advantage. Enter embedded analytics and white label business intelligence.

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

IBM Big Data Hub

MAY 12, 2022

To navigate this constantly disrupted world, clients need more data, more collaboration and more assurances that they can act at the speed of business without risk. This situation persists across all areas of the business, and organizations have had to focus on new data applications to find a path towards success and resiliency. “We

Business Analytics 56

Business Analytics Analytics Recreation/Entertainment Cost-Benefit 56

CIO Business Intelligence

DECEMBER 11, 2024

One of the most challenging aspects of business analytics is creating a consistent set of data definitions to ensure reports do not produce conflicting or unreliable information. The introduction of generative AI (genAI) and the rise of natural language data analytics will exacerbate this problem.

Management 111

Management Data Governance Data Science Reporting 111

CIO Business Intelligence

APRIL 8, 2025

Fragmented systems, inconsistent definitions, legacy infrastructure and manual workarounds introduce critical risks. These issues dont just hinder next-gen analytics and AI; they erode trust, delay transformation and diminish business value. Manual entries also introduce significant risks.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

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

Jet Global

JULY 10, 2019

PORTLAND, OR – Jet Global, an insightsoftware company, announces the signing of a distribution deal with Go2Latam, which helps to bring business intelligence, reporting, and budgeting solutions to Microsoft Dynamics ERP users in Latin America. Phone: 503-608-3644. Email: tara.grant@insightsoftware.com.

Business Analytics 69

Business Analytics Analytics Business Intelligence Reporting 69

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 Metrics Cost-Benefit 40

Smart Data Collective

JULY 23, 2023

Data can feel like an inaccessible word for small businesses. You want to use business intelligence effectively, but you feel that you don’t have the resources at your disposal to do so. Risk assessment: Data can also help you understand the risks associated with specific decisions.

Analytics 98

Analytics Advertising Business Intelligence Optimization 98

CIO Business Intelligence

OCTOBER 17, 2023

The attack surface now extends to home offices, cloud applications, and public clouds, and there is an ever-increasing risk of lateral threat movement within highly interconnected hub-and-spoke networks protected by castle-and-moat security models. One example of this analytics capability is digital experience monitoring.

Digital Transformation 143

Digital Transformation B2B IoT Cost-Benefit 143

Smart Data Collective

NOVEMBER 18, 2021

Big data and business intelligence are essential. B2B business, in particular, brings a unique set of challenges that B2C companies don’t face. Longer buying cycles, more risk, and larger transactions. It is a vital to any company that wants to succeed in all but the least competitive markets.

Data Strategy 138

Data Strategy B2B Strategy Big Data 138

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. Use Case – 2.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

CIO Business Intelligence

MARCH 9, 2022

As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform. Each ETL step risks introducing failures or bugs that reduce data quality. .

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

CIO Business Intelligence

APRIL 15, 2022

Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Jet Global

FEBRUARY 5, 2019

This poor data quality translates into an average of $15 million per year in a ripple effect of financial loss, missed opportunities, and high-risk decision making. Because bad data is the reason behind poor analytics. . Reduce the Risk of Bad Data with Master Data Management (MDM). Download Now.

Data Warehouse 69

Data Warehouse Data Quality Business Intelligence Data Governance 69

datapine

OCTOBER 7, 2020

That being said, we will discuss operational metrics examples that can be used in business processes and outline the most prominent ones, while using business analytics tools as our invaluable assistance. Marketing: CPC (Cost-per-Click). click to enlarge**.

KPI 269

KPI Metrics Sales Visualization 269

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. But how do you get them to share actionable data? Of course, customers are willing to share data in return for better services and products.

Strategy 97

Strategy Enterprise Forecasting Risk 97

Smart Data Collective

MAY 4, 2021

When it comes to making business decisions, managers, business owners and other key decision-makers need to be grounded in solid data. Without using data, business decisions are less likely to be informed and there is a higher risk of making the wrong choice.

Advertising 142

Advertising Marketing Data Collection Data Analytics 142

AWS Big Data

NOVEMBER 29, 2023

Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools. With Redshift, we are able to view risk counterparts and data in near real time— instead of on an hourly basis.

Data Warehouse 130

Data Warehouse Analytics Data Lake Machine Learning 130

CIO Business Intelligence

SEPTEMBER 22, 2022

To overcome these, CIOs have to communicate to the CFO more readily about how IT supports business goals to capture value. New technologies can greatly support these efforts, of course, and business analytics and AI can help provide real-time snapshots of how technology is driving efficiency.

Digital Transformation 114

Digital Transformation Snapshot Finance Strategy 114

Cloudera

OCTOBER 4, 2023

In financial services, fast-moving data is critical for real-time risk and threat assessments. Without real-time analytics we won’t catch the threats until after they’ve caused significant damage. With this, we can reduce customer churn and overall network operational costs.

Data Warehouse 89

Data Warehouse Experimentation Cost-Benefit Dashboards 89

CIO Business Intelligence

JUNE 8, 2023

The technology initiatives that are expected to drive the most IT investment in 2023 security/risk management, data/business analytics, cloud-migration, application/legacy systems modernization, machine learning/AI, and customer experience technologies.

Strategy 98

Strategy Data-driven Interactive Business Objectives 98

Smarten

NOVEMBER 26, 2023

The Benefits of Business Intelligence (BI) As the Business Intelligence solution market evolves, it may be difficult for an organization to know when to invest in these tools, and which tools are best for enterprise and user needs. What is self-serve BI? What is data democratization? What is data literacy?

Business Intelligence 40

Business Intelligence Data-driven Advertising Reporting 40

Smart Data Collective

JUNE 8, 2023

Monitoring player fitness levels, tracking recovery progress, and identifying potential injury risks are crucial for maintaining the overall well-being of players. By tracking exertion levels, coaches can manage training loads effectively, prevent burnout, and reduce the risk of injuries.

Data Analytics 105

Data Analytics Analytics Data Collection Statistics 105

Smarten

JUNE 28, 2018

Business Problem: A bank wants to group loan applicants into high/medium/low risk based on attributes such as loan amount, monthly installments, employment tenure, the number of times the applicant has been delinquent in other payments, annual income, debt to income ratio etc. Use Case – 1. Use Case – 2. About Smarten.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 27, 2018

For example, if an outlier indicates a risk or a mistake, that outlier should be identified and the risk or mistake should be addressed. 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. About Smarten.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 25, 2018

In order to understand how best to make use of this algorithm; let’s look at some general examples, followed by some business use cases. 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. About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

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. Use Case – 2. About Smarten.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 25, 2018

Business Benefit: By checking Q1, Q3 and Inter quartile range (Q3-Q1) values of each step of the process, the owner can determine which particular step has a scope of time reduction. Business Problem: A stock broker wants to analyze the price volatility of a stock as a measure of risk. 5) Standard Deviation/Variance.

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40

Smart Data Collective

FEBRUARY 2, 2021

FinTech, as a whole, relies mostly on Big Data , helping the industry overcome regulatory obstacles and create innovative solutions such as virtual banking assistants and risk management tools for trading. Now, Big Data has made it much easier to understand each client’s financial situation and deliver customized services. Public services.

Big Data 106

Big Data Recreation/Entertainment Cost-Benefit Finance 106

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. But process and people can’t be ignored.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

Sisense

APRIL 14, 2020

That would leave the company with two entire teams available and with low risk of contagion. That is, all the people that have strong relationships (close “proximity” with Lynda should be sent home: Martha, Chris, and David. But this was an easy case. Well, in that case, things could evolve in a very different manner.

Machine Learning 105

Machine Learning Measurement People Analytics Sales 105

CIO Business Intelligence

MARCH 27, 2023

For example, underwriters used to toggle between nearly a dozen tools to get their job done — today they use one streamlined tool with all relevant information at their fingertips to make better decisions while understanding risks, Soni says. Leveraging data, advanced analytics, and AI is top priority across the board.

Strategy 109

Strategy Digital Transformation Insurance Technology 109

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 for each applicant, based on the amount of risk. Use Case – 2. About Smarten.

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 40

CIO Business Intelligence

MARCH 16, 2022

IT executives see talent shortage as the most significant adoption barrier to 64% of emerging technologies, ahead of implementation cost (29%) or security risk (7%), according to a September 2021 Gartner survey. Identifying which emerging technologies will prove most useful is a challenge, though.

Forecasting 98

Forecasting Machine Learning Technology Enterprise 98