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). Data analytics methods and techniques.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Analytics Vidhya

JULY 9, 2020

Introduction Time series forecasting is a really important area of Machine Learning as it gives you the ability to “see” ahead of time and. The post Time Series Forecasting using Microsoft Power BI appeared first on Analytics Vidhya.

Forecasting 393

Forecasting Machine Learning Analytics IT 393

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. Whether the company needs a comprehensive financial analytics strategy or process, R has become one of the most used data science tools to explore and manage data. Let’s get started.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

FineReport

JUNE 11, 2021

Business Analytics. Business analytics is how companies use statistical methods and techniques to analyze historical data to gain new insights and improve strategic decision-making. What is the difference between business intelligence and analytics? Data visualization with FineReport.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

Cloudera

FEBRUARY 25, 2021

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. The work of a machine learning model developer is highly complex. Deep Learning for Image Analysis. Built By Experts At The Leading Edge Of ML innovation.

Deep Learning 84

Deep Learning Machine Learning Forecasting Visualization 84

datapine

JANUARY 6, 2022

Through the art of streamlined visual communication, data dashboards permit businesses to engage in real-time and informed decision-making and are key instruments in data interpretation. Typically, quantitative data is measured by visually presenting correlation tests between two or more variables of significance.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

FineReport

APRIL 9, 2024

Among the latest BI trends , advanced analytics and predictive modeling stand out as key focal points, enabling businesses to extract deeper insights from their data assets. In addition to these advancements, another prominent trend in data analysis is the growing impact of data visualization.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

FineReport

MARCH 24, 2024

They analyze, interpret, and manipulate complex data, track key performance indicators, and present insights to management through reports and visualizations. Technically, analysts must excel in numerical and analytical skills, advanced Excel usage, and an understanding of relational databases like MS Access.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smart Data Collective

MARCH 25, 2021

Ad hoc reporting tools offer highly interactive reports that can help management identify the flaws in their business strategies and rectify the mistakes to enhance their product sales. Visualizations and reporting. Zoho analytics. Dotnet report builder.

Data-driven 124

Data-driven Analytics Business Intelligence Dashboards 124

FineReport

MAY 23, 2021

On top of these, FineReport’s data visualization package offers a wide variety of visualization options such as 3D charts, maps, GIS relationships, dashboards. Therefore, it is specially prepared for learners or anyone who is interested in data visualization and has no privacy issues. Free Download. Source: Tableau.

Software 98

Software Reporting Dashboards Visualization 98

FineReport

JUNE 11, 2021

Business Analytics. Business analytics is how companies use statistical methods and techniques to analyze historical data to gain new insights and improve strategic decision-making. What is the difference between business intelligence and analytics? Data visualization with FineReport.

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

Birst BI

JANUARY 16, 2018

If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind. Machine learning will transform BI and analytics. Any business leader already knows that AI is a large field. The barrier of entry to BI remains high.

Data-driven 70

Data-driven Analytics Dashboards Machine Learning 70

Smart Data Collective

AUGUST 10, 2021

Another key benefit is that it allows companies to create data visualizations! Intended for small and medium businesses, Splunk can do it all: it can collect and index data in real-time, then analyze existing data and find connections. Splunk is super secure as well, which is a huge concern for today’s businesses. RapidMiner.

Analytics 127

Analytics Data-driven Advertising Data Science 127

Cloudera

DECEMBER 21, 2020

A Cloudera Machine Learning Workspace exists . Here we see the results in the form of a table: Shaun decides to quickly pull up Data Visualization from within CML, to build some initial visualizations, with the aim to better communicate the results to others in the organization. Company data exists in the data lake.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

Smart Data Collective

AUGUST 7, 2019

An advanced log analyzer (click to learn more) aggregates and extract useful insights from log data automatically, amplifies the human abilities and facilitate the “hunt” which is necessary to determine security concerns , monitor system health, adhere to compliance requirements, and much more. Customer data platform.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

Domino Data Lab

JULY 22, 2019

why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”. He also really informed a lot of the early thinking about data visualization.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Analytics Vidhya

MAY 13, 2024

Seeking robust and relevant datasets […] The post 28 Websites to Find Datasets for your Projects appeared first on Analytics Vidhya. Whether you’re a student exploring new concepts or a seasoned professional, there’s an undeniable truth we all stumble upon: the importance of quality data.

Analytics 184

Analytics IT Machine Learning Business Analytics 184

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.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Analytics Vidhya

FEBRUARY 28, 2023

Each aspect of data science, like data preparation, the importance of big data, and the process of automation, contributes to how data science is the future […] The post 30 Best Data Science Books to Read in 2023 appeared first on Analytics Vidhya. Introduction Data science has taken over all economic sectors in recent times.

Data Science 349

Data Science Big Data Analytics IT 349

Analytics Vidhya

DECEMBER 12, 2022

Not just the leading technology giants in India but medium and small-scale companies are also betting on data science to revolutionize how business operations are performed. Data science is one of India’s rapidly growing and in-demand industries, with far-reaching applications in almost every domain.

Analytics 335

Analytics Data Science Technology Deep Learning 335

Sisense

APRIL 26, 2020

To analyze structured vs unstructured data, a new generation of BI tools has emerged that use advanced coding languages , as well as Machine Learning (ML) and Artificial Intelligence (AI) to help humans make sense of these huge datasets. Cloud data warehouses: The new era of data storage. Making life better for data professionals.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Analytics Vidhya

APRIL 7, 2020

appeared first on Analytics Vidhya. Introduction “ Give me six hours to chop down a tree and I will spend the first four sharpening the axe.” – Abraham Lincoln. The post 10 Powerful and Time-Saving Data Exploration Hacks, Tips and Tricks!

Analytics 399

Analytics Data Science Business Analytics Machine Learning 399

datapine

MARCH 25, 2022

We already saw earlier this year the benefits of Business Intelligence and Business Analytics. In an article tackling BI and Business Analytics, Better Buys asked seven different BI pros what their thoughts were on the difference between business intelligence and analytics. Confused yet?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smarten

DECEMBER 3, 2023

So, what does all this mean to your business? Why is augmented analytics an important factor in your success? Now that we have discussed the importance of considering these tools to improve your company results and support your business users, let’s take a closer look at the real benefits of augmented analytics.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

CIO Business Intelligence

JANUARY 20, 2023

Benefits of BI BI helps business decision-makers get the information they need to make informed decisions. A strong BI strategy can deliver accurate data and reporting capabilities faster to business users to help them make better business decisions in a more timely fashion. How many members have we lost or gained this month?

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

AWS Big Data

OCTOBER 11, 2023

The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data. Using machine learning (ML) and data visualization tools, these datasets can be transformed into actionable insights that can inform decision-making.

Visualization 96

Visualization Dashboards Data-driven Gap analysis 96

AWS Big Data

NOVEMBER 29, 2023

Since then, customer demands for better scale, higher throughput, and agility in handling a wide variety of changing, but increasingly business critical analytics and machine learning use cases has exploded, and we have been keeping pace. Here’s a couple of highlights from this week and for the full list, see below.

Data Warehouse 101

Data Warehouse Data Lake Analytics Machine Learning 101

datapine

NOVEMBER 11, 2021

Business intelligence tools provide you with interactive BI dashboards that serve as powerful communication tools to keep teams engaged and connected. Through powerful data visualizations, managers and team members can get a bigger picture of their performance to optimize their processes and ensure healthy project development.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

Sisense

APRIL 14, 2020

Data is everywhere and every company is focused on what to do with their available data stores: customer journey follow-ups, harvesting precious behavioral insights, performing market analyses, and uncovering sales predictions through Machine Learning, just to name a few. We’ll use that information to make smarter decisions!

Machine Learning 105

Machine Learning Measurement People Analytics Sales 105

datapine

AUGUST 29, 2022

James Warren, on the other part, is a successful analytics architect with a background in machine learning and scientific computing. 5) Data Analytics Made Accessible, by Dr. Anil Maheshwari. 17) Analytics in a Big Data World: The Essential Guide to Data Science and its Applications, by Bart Baesens.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Smarten

AUGUST 9, 2017

If your role in business demands that you stay abreast of changes in business analytics, you are probably familiar with the term Smart Data Discovery. You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’ , Published 27 July 2017, by Rita L.

Analytics 40

Analytics IT Statistics ROI 40

Cloudera

NOVEMBER 2, 2020

These include stream processing/analytics, batch processing, tiered storage (i.e. for active archive or joining live data with historical data), or machine learning. Analytics storage and query engine for pre-aggregated event data. Tool for visualizing, dashboarding, and report building. Typical RTDW Applications.

Data Warehouse 97

Data Warehouse Optimization Dashboards Interactive 97

datapine

JANUARY 31, 2022

BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. Business intelligence can also be referred to as “descriptive analytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Smarten

JULY 26, 2022

The Smarten mobile application provides intuitive dashboards and reports, stunning visualizations, dynamic charts and graphs and key performance indicators (KPIs). Users can share reports and data via WhatsApp, email, chat or other content sharing apps on mobile devices, encouraging information sharing and collaboration.

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361