FineReport

APRIL 9, 2024

Understanding Healthcare BI Tools The Role of Healthcare BI Tools Healthcare BI tools are instrumental in revolutionizing decision-making processes and patient care through the utilization of advanced data analysis and technology.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

FineReport

APRIL 26, 2023

A company’s ability to collect and handle big data effectively is directly related to its growth rate, as big data offers numerous advantages that cannot be ignored. Market Insight : Analyzing big data can help businesses understand market demand and customer behavior. How to Choose the Right Big Data Analytics Tools?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Jedox

JANUARY 16, 2019

I believe in the not-too-distant future, best-in-class FP&A functions will be incorporating Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), data mining, and simulation analysis to produce predictive analytics and give our business partners across the enterprise actual foresights.

Finance 45

Finance Forecasting Predictive Analytics Cost-Benefit 45

datapine

MARCH 31, 2022

To understand this concept in a practical context, check out this video featuring an explanation from analyst Sonya Fournier: Now that we’ve explored BI in a real-world professional context, let’s look at the benefits of embarking on this occupation. They can help a company forecast demand, or anticipate fraud. It’s Flexible.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Smart Data Collective

MAY 11, 2023

The banking sector, in particular, can use big data technology to improve the actuarial analysis of the loan underwriting and approval process. All areas of actuarial practice will likely be significantly impacted by Big Data in the next decade. This includes using big data to help customer relationship management.

Data mining 98

Data mining Big Data Sales Cost-Benefit 98

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Sisense

MARCH 14, 2021

As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data. IoT sensors on factory floors are constantly streaming data into cloud warehouses and other storage locations.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Jen Stirrup

OCTOBER 30, 2022

What distinguishes Data Mining from other methods of exploring data, and what is its usefulness? Critics might say that if you torture the data enough, it will eventually confess! Computers contain lots of data, but people need help to turn this data into intelligence.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. We already saw earlier this year the benefits of Business Intelligence and Business Analytics.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Jet Global

JUNE 29, 2020

Advanced analytics—which includes data mining, big data, and predictive data analytics—affords you the ability to gather deeper, more strategic, and ultimately more actionable insights from your data. Your data is your greatest goldmine for discovering answers to your future by appropriately processing your past.

Analytics 98

Analytics Reporting Cost-Benefit Data mining 98

Sisense

MAY 11, 2021

The new architecture requires that data be structured in a dimensional model to optimize for BI capabilities, but it also allows for ad hoc analytics with the flexibility to query clean and raw data. Importantly, both workflows for data analytics are supported by a set of data models that follow the same data pipeline.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

datapine

NOVEMBER 27, 2019

DQM is indeed reckoned as the key factor in ensuring efficient data analysis, as it is the basis from where all the rest starts from. According to Gartner, poor data quality is estimated to cost organizations an average of $15 million per year in losses. It’s an extension of data mining which refers only to past data.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

MAY 1, 2023

Now, Delta managers can get a full understanding of their data for compliance purposes. Additionally, with write-back capabilities, they can clear discrepancies and input data. These benefits provide a 360-degree feedback loop. Healthcare is forecasted for significant growth in the near future.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 9, 2024

Machine learning algorithms can automatically detect and correct data anomalies, inconsistencies, and missing values, leading to higher data quality within the pipeline. Automated data mining can reduce manual efforts in data processing and preparation, expediting the pipeline’s workflow.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52