FineReport

MAY 29, 2020

What is BI Reporting? . Business Intelligence is commonly divided into four different types: reporting, analysis, monitoring, and prediction. BI reporting is often called reporting. In other words, you can view BI reporting as various styles+ dynamic data. . Excel VS BI Reporting Tools.

Reporting 94

Reporting OLAP Visualization Business Intelligence 94

Sisense

AUGUST 11, 2019

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. So…what is the difference between business intelligence and business analytics? What Does “Business Analytics” Mean?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

BizAcuity

NOVEMBER 13, 2024

BI consulting services play a central role in this shift, equipping businesses with the frameworks and tools to extract true value from their data. As businesses increasingly rely on data for competitive advantage, understanding how business intelligence consulting services foster data-driven decisions is essential for sustainable growth.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

DataKitchen

SEPTEMBER 21, 2023

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream. What is Data in Use?

Testing 173

Testing Data Quality Predictive Modeling Metrics 173

CIO Business Intelligence

FEBRUARY 6, 2025

They can also automate report generation and interpret data nuances that traditional methods might miss. Even basic predictive modeling can be done with lightweight machine learning in Python or R. This could provide predictive maintenance insights, identify design flaws and ultimately improve vehicle reliability and safety.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

JULY 5, 2022

What are the benefits of business analytics? Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. What is the difference between business analytics and business intelligence?

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

CIO Business Intelligence

JUNE 7, 2022

In business analytics, this is the purview of business intelligence (BI). Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

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

FineReport

MAY 13, 2020

The most distinct is its reporting capabilities. Because FineReport can be seamlessly integrated with any data source, it is convenient to import data from Excel in batches to empower historical data or generate MIS reports from various business systems. Dynamic reports. Query reports. Report Management .

OLAP 105

OLAP KPI Data mining Business Intelligence 105

Smarten

FEBRUARY 6, 2025

The Use and Benefits of Low-Code No-Code Development in Business Intelligence (BI) and Predictive Analytics Solutions Introduction In this article, we will discuss Low-Code and No-Code Development (LCNC) and the use of the Low Code and No Code approach for business intelligence (BI) tools and predictive analytics solutions.

Predictive Analytics 40

Predictive Analytics Key Performance Indicator Analytics Predictive Modeling 40

Smarten

MARCH 13, 2018

Does your business intelligence solution provide true advanced analytics capabilities? Can your BI tool satisfy the needs of business users, data scientists and IT staff? There is no point in frustrating or limiting the user when one tool can satisfy the requirements of every user and skill level in the organization.

Predictive Modeling 40

Predictive Modeling Modeling Analytics Predictive Analytics 40

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics has captured the support of wide range of organizations, with a global market size of $12.49 The report projects the market will reach $38 billion by 2028, growing at a compound annual growth rate (CAGR) of about 20.4% Predictive models can help businesses attract, retain, and nurture their most valued customers.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

O'Reilly on Data

SEPTEMBER 19, 2023

And then there was the other problem: for all the fanfare, Hadoop was really large-scale business intelligence (BI). While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.”

Machine Learning 341

Machine Learning Testing Modeling Cost-Benefit 341

Smarten

JULY 26, 2022

Smarten CEO, Kartik Patel says, “The availability of Smarten augmented analytics on a mobile device encourages user adoption and provides support for business intelligence investments and data democratization.” “Users can analyze and interact with data with full visibility of dashboards, reports and other BI objects.”

Analytics 74

Analytics Key Performance Indicator Business Intelligence Dashboards 74

Juice Analytics

MARCH 11, 2021

Take the Academic Insights data product we designed and built for US News and World Report as an example of finding this intersection. (1) I spoke to a credit card executive recently who mentioned how his bank spent huge sums of money on benchmarking reports. Predictive models to take descriptive data and attempt to tell the future.

Visualization 128

Visualization Predictive Modeling Reporting Interactive 128

Smarten

JUNE 22, 2022

So, if your team is already used to enterprise, best-of-breed or legacy systems, why not add integrated analytics via embedded business intelligence? These software solutions are familiar and often times are a crucial part of workflow, helping the user to capture and monitor data and to check approvals, orders, project status etc.

Slice and Dice 76

Slice and Dice Digital Transformation Business Intelligence Predictive Modeling 76

CIO Business Intelligence

APRIL 22, 2022

Some common tools include: SAS” This proprietary statistical tool is used for data mining, statistical analysis, business intelligence, clinical trial analysis, and time-series analysis. Knime: Knime is an open source data analytics, reporting, and integration platform.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

Smarten

JANUARY 31, 2019

Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics. How is Advanced Analytics Different from Business Intelligence? Advanced Analytics is the logical tool to help a business optimize its investments and achieve its goals.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Smarten

OCTOBER 31, 2022

If your business can leverage traditional business intelligence tools AND advanced augmented analytics, it can provide the features and tools its users need without being forced to choose and without forcing its team to use a solution that is not ideal for their role or their needs. Intuitive, informative reporting.

Key Performance Indicator 67

Key Performance Indicator Analytics Cost-Benefit Predictive Modeling 67

Smarten

JANUARY 27, 2023

Smarten has announced the launch of Predictive Model Mark-Up Language (PMML) Integration capability for its Smarten Augmented Analytics suite of products. Simply create the predictive model, using your favorite platform, export the model as a PMML file and import that model to Smarten.

Predictive Modeling 52

Predictive Modeling Analytics Predictive Analytics Business Intelligence 52

Smarten

JUNE 17, 2022

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.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Domino Data Lab

JANUARY 21, 2021

Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. Results become the basis for understanding the solution space (or, ‘the realm of the possible’) for a given modeling task. Producing insights from raw data is a time-consuming process.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

CIO Business Intelligence

DECEMBER 19, 2024

Skills in Python, R, TensorFlow, and Apache Spark enable professionals to build predictive models for energy usage, optimize resource allocation, and analyze environmental impacts. This is where machine learning algorithms become indispensable for tasks such as predicting energy loads or modeling climate patterns.

IT 52

IT IoT Machine Learning Optimization 52

CIO Business Intelligence

MARCH 19, 2025

Limited representation of sustainability in CDO priorities A review of industry reports, surveys and conference agendas suggests that sustainability remains a niche topic within the data leadership community. Without robust data infrastructure, sustainability reporting can become fragmented, leading to inefficiencies and compliance risks.

IT 59

IT Data Governance Data-driven Metrics 59

CIO Business Intelligence

JULY 24, 2023

It has also developed predictive models to detect trends, make predictions, and simulate results. With this huge amount of data per month, we are able to offer stats and reports,” Bruno says. With 112,000 reports in the system and 8 million bits of information, it’s a huge amount of information for 42 clubs.”

Broadcasting 98

Broadcasting Recreation/Entertainment Testing Machine Learning 98

Smarten

AUGUST 6, 2024

If your business wishes to accommodate a ‘data-first’ strategy to improve metrics and measurable success and avoid guesswork and strategies that are based on opinion rather than fact, it can either employ a team of expensive professionals, or it can take a different approach.

Predictive Modeling 62

Predictive Modeling Key Performance Indicator Data-driven Finance 62

Birst BI

OCTOBER 30, 2018

This data retrieval and summarization capability gave rise to what we now know as the business intelligence industry. Today, the most common usage of business intelligence is for the production of descriptive analytics. . Integrate the data sources of the various behavioral attributes into a functional data model.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

CIO Business Intelligence

OCTOBER 4, 2022

In the new report, titled “Digital Transformation, Data Architecture, and Legacy Systems,” researchers defined a range of measures of what they summed up as “data architecture coherence.” Data architecture coherence. more machine learning use casesacross the company. Putting data in the hands of the people that need it.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

BI-Survey

NOVEMBER 24, 2020

In particular, the integration of strategic planning and company-wide operational planning, as well as its integration with analytics and business intelligence (BI), are becoming increasingly important to making comprehensive and well-founded decisions based on data. BARC Integrated and Predictive Planning.

Forecasting 94

Forecasting Predictive Modeling Statistics Data-driven 94

Smarten

NOVEMBER 23, 2023

The Smarten Augmented Analytics suite includes Smart Data Visualization , AI and Assisted Predictive Modeling , Self-Serve Data Preparation , Natural Language Processing (NLP) and Search Analytics , SnapShot Monitoring and Alerts , and many other sophisticated features.

Publishing 62

Publishing Marketing Analytics Predictive Modeling 62

Smarten

APRIL 12, 2023

SnapShot KPI monitoring allows business users to quickly establish KPIs, target metrics and identify key influencers and variables for the target KPI. 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.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Sisense

MARCH 24, 2020

One area they refused to cut, however, was their business intelligence program. BA claimed that a continued investment in analytics during the crisis was a critical factor to streamlining marketing activities and thwarting fraudulent bookings when their business was especially fragile. Insights over instinct.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

Smarten

APRIL 19, 2022

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.

Slice and Dice 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

Smarten

JUNE 8, 2023

Today’s business intelligence solutions provide mobile support for business users in an easy-to-use, self-serve environment, so every team member can participate in data analytics and use that data to perform their role and to make confident decisions. Get the Results You Want From Your Team and Your BI Tools with Mobile BI!

Optimization 67

Optimization Enterprise Business Intelligence Predictive Modeling 67

CIO Business Intelligence

JUNE 5, 2024

We were the go-to guys for any ML or predictive modeling at that time, but looking back it was very primitive.” Early on, Booth says, the primary consumers of the data his team analyzed was the front office, which was using it and reports for player evaluations, making trades, and so on.

Optimization 125

Optimization Predictive Modeling Data-driven Modeling 125

CIO Business Intelligence

MARCH 5, 2024

Microsoft’s benchmarks show that 70% of Copilot users said they were more productive, 68% reported it improved the quality of their work, and 67% used the time saved to focus on more important work. While that’s a limitation, there are reports of promised functionality not yet available.

Advertising 124

Advertising Cost-Benefit Experimentation Reporting 124

Smarten

APRIL 10, 2023

Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Why the focus on predictive analytics? Data Scientists can create and re-purpose analytical models and focus on strategic initiatives.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52