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. Tableau: Now owned by Salesforce, Tableau is a data visualization tool. It’s also handy for data scientists, working with smaller datasets.

Data Science 139

Data Science Statistics Machine Learning Visualization 139

FineReport

MAY 31, 2020

Anda juga dapat menggunakan laporan interaktif untuk menavigasi, mengurutkan, memfilter, dan melihat data untuk memenuhi kebutuhan spesifik Anda. Excel vs Aplikasi Pelaporan BI dan Software BI Dalam Hal Pelaporan. Software BI vs Alat Pelaporan BI. Kebanyakan software BI memiliki kemampuan membuat laporan.

OLAP 52

OLAP Software Business Intelligence Data mining 52

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? And with advanced software like IBM Watson Assistant , social media data is more powerful than ever.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

Smarten

JANUARY 31, 2019

Today’s Advanced Analytics Tools allow business users to leverage features like self-serve data preparation, smart data visualization and assisted predictive modeling. Guided recommendations are made based on data type, volume, dimensions, patterns and nature of data.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

IBM Big Data Hub

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Sisense

AUGUST 11, 2019

BA is a catch-all expression for approaches and technologies you can use to access and explore your company’s data, with a view to drawing out new, useful insights to improve business planning and boost future performance. BA primarily predicts what will happen in the future. What About “Business Intelligence”?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Smarten

MAY 13, 2024

Incorporate PMML Integration Within Augmented Analytics to Easily Manage Predictive Models! PMML is Predictive Model Markup Language. It is an interchange format that provides a method by which analytical applications and software can describe and exchange predictive models.

Predictive Modeling 62

Predictive Modeling Data mining Modeling Predictive Analytics 62

Sisense

APRIL 10, 2020

These libraries are used for data collection, analysis, data mining, visualizations, and ML modeling. There are also a wide array of libraries available for both languages for text processing, text analysis, and text modeling. Python has 200+ standard libraries and nearly infinite third-party libraries.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

FineReport

MAY 13, 2020

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. Another distinct trait of this software is its feature of data entry. Dynamic reports. Query reports.

OLAP 105

OLAP KPI Data mining Business Intelligence 105

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. Your Chance: Want to extract the maximum potential out of your data?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. It doesn’t matter if you use graphs or charts, you need to get better at data visualization. The workflow is basically a sequence of tasks that processes a set of data.

Metadata 98

Metadata Visualization Unstructured Data Data mining 98

Smarten

MAY 24, 2018

ElegantJ BI CEO, Kartik Patel says, “We look forward to demonstrating our Smarten analytics software solution, and to seeing new and familiar faces, as we welcome analytics experts and customers to this exciting event.”.

Analytics 40

Analytics Data Analytics Data mining Predictive Modeling 40

datapine

NOVEMBER 27, 2019

Using online data visualization tools to perform those actions is becoming an invaluable resource to produce relevant insights and create a sustainable decision-making process. That being said, business users require software that is: Easy to use. Allows easy handling of a high volume and variety of data. Agile and flexible.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

DECEMBER 12, 2018

As the analytical solutions market evolves, the advent of self-serve tools provides business users with the ability to leverage self-serve data preparation, smart data visualization and assisted predictive modeling and operate at a level that was not possible before.

Analytics 40

Analytics Business Intelligence Data mining Predictive Modeling 40

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. Throughout this article, we will delve into beginner-friendly options and unveil the top ten BI software solutions that streamline operations and provide a competitive edge.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. Commercial vs. Internal Apps Any organization that develops or deploys a software application often has a need to embed analytics inside its application. Users Want to Help Themselves Data mining is no longer confined to the research department.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 9, 2024

Machine Learning Pipelines : These pipelines support the entire lifecycle of a machine learning model, including data ingestion , data preprocessing, model training, evaluation, and deployment. API Data Pipelines : These pipelines retrieve data from various APIs and load it into a database or application for further use.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52