BA Learnings

JANUARY 2, 2023

Analyze the Data After collecting the necessary data, it's time to start analyzing it to gain insights into how well your business processes perform relative to your goals.

Data Analytics 130

Data Analytics Analytics Metrics Testing 130

FineReport

NOVEMBER 26, 2019

When it comes to data analytics tools, we always have questions. What is the difference between so many data analysis tools? Because the reviewers who evaluate a certain data analytics tool may be from a different perspective, with some personal feelings. 1) Professional statistical analysis.

Data Analytics 98

Data Analytics Analytics Statistics Visualization 98

Jet Global

AUGUST 4, 2023

Providing valuable insights from data that moves the business forward in achieving its strategic objectives is one of the most valuable skills any FP&A or Operational Planning (OP) professional can possess. Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.

Data Analytics 52

Data Analytics Analytics Finance Visualization 52

AWS Big Data

JUNE 6, 2023

It provides insights and metrics related to the performance and effectiveness of data quality processes. In this post, we highlight the seamless integration of Amazon Athena and Amazon QuickSight , which enables the visualization of operational metrics for AWS Glue Data Quality rule evaluation in an efficient and effective manner.

Data Quality 70

Data Quality Metrics Visualization Dashboards 70

CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What is the difference between business analytics and data analytics? This is the purview of BI.

Business Analytics 127

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 127

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

datapine

JANUARY 24, 2021

If you want to survive, it’s time to act.” – Capgemini and EMC² in their study Big & Fast Data: The Rise of Insight-Driven Business. This genie (who we’ll call Data Dan) embodies the idea of a perfect data analytics platform through his magic powers. Now, with Data Dan, you only get to ask him three questions.

IT 317

IT Statistics KPI Data-driven 317

CIO Business Intelligence

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data Science 139

Data Science Statistics Machine Learning Visualization 139

datapine

MARCH 31, 2022

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. Visualizations are the best tools to make trends and general insights understandable.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. This is done by mining complex data using BI software and tools , comparing data to competitors and industry trends, and creating visualizations that communicate findings to others in the organization.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

Octopai

OCTOBER 26, 2022

DataOps is an approach to best practices for data management that increases the quantity of data analytics products a data team can develop and deploy in a given time while drastically improving the level of data quality. Continuous pipeline monitoring with SPC (statistical process control). Results (i.e.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

CIO Business Intelligence

JANUARY 19, 2024

Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

Smart Data Collective

DECEMBER 15, 2022

Data analytics is not a new term, as it’s the same as interpreting information. Today, business data and analytical insights are the most sought-after to increase revenue and improve corporate decisions. How Are Analytical Insights Formed From Business Data? Visualization of Data.

Analytics 113

Analytics Visualization Data Collection Statistics 113

CIO Business Intelligence

APRIL 25, 2022

An education in data science can help you land a job as a data analyst , data engineer , data architect , or data scientist. WeCloudData is a data science and AI academy that offers a number of bootcamps as well as a diploma program and learning paths composed of sequential courses. Locations: Live online.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Smart Data Collective

JULY 24, 2023

Nabil M Abbas of Towards Data Science talked about one of the most interesting ways that data analytics is changing the NBA. Abbas states that more players are attempting three-point shots based on analytics findings. We will also cover some of the changes brought on by data analytics. a year until 2030.

Analytics Technologies 76

Analytics Technologies Marketing Technology Analytics 76

DataKitchen

APRIL 28, 2021

In Figure 1, the nodes could be sources of data, storage, internal/external applications, users – anything that accesses or relates to data. Data fabrics provide reusable services that span data integration, access, transformation, modeling, visualization, governance, and delivery.

Statistics 246

Statistics Optimization Technology Data Analytics 246

Smart Data Collective

APRIL 13, 2019

Data analytics has helped SMEs optimize their business models in countless ways. One of the biggest ways that big data is helping them is by making it easier for them to monitor email communications. Data Analytics Paves the Way for More Effective Email Monitoring. Success rates.

Data Analytics 66

Data Analytics Analytics Big Data Measurement 66

Domino Data Lab

JULY 28, 2021

Data science is an exciting, interdisciplinary field that is revolutionizing the way companies approach every facet of their business. This has led to rapid advancements, as the field’s interdisciplinary nature combines mathematics, statistics, computer science and business knowledge in new and novel ways. Computer Science Skills.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Smart Data Collective

MAY 13, 2022

With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools. Business insight and data analytics landscape. Artificial intelligence and allied technologies make business insight tools and data analytics software more efficient.

Business Analytics 132

Business Analytics Analytics Unstructured Data Data-driven 132

FineReport

JUNE 11, 2021

Business intelligence and analytics (BI&A) and the related field of big data analytics have emerged as an increasingly important area in the business communities. Business Analytics. What is the difference between business intelligence and analytics? Data visualization with FineReport. Definition.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

Smart Data Collective

MARCH 27, 2023

Unleash your analytical prowess in today’s most coveted professions – Data Science and Data Analytics! As companies plunge into the world of data, skilled individuals who can extract valuable insights from an ocean of information are in high demand.

Data Science 87

Data Science Statistics Data-driven Machine Learning 87

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. On the AWS Glue console, under ETL jobs in the navigation pane, choose Visual ETL. In the Create job section, choose Visual ETL.x

Data Quality 87

Data Quality Measurement Testing Visualization 87

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 124

Analytics Data Science Statistics Unstructured Data 124

Smart Data Collective

NOVEMBER 1, 2020

Overall, clustering is a common technique for statistical data analysis applied in many areas. Dimensionality Reduction – Modifying Data. Besides data mining, this tool is in-demand in the following fields: Market segmentation; Document clustering; Image segmentation; Pattern recognition; Insurance fraud detection and others.

Machine Learning 131

Machine Learning Data mining Visualization Statistics 131

Smart Data Collective

NOVEMBER 18, 2020

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Previously, such problems were dealt with by specialists in mathematics and statistics.

Data mining 142

Data mining Data Science Informatics Statistics 142

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. appeared first on IBM Blog.

Machine Learning 56

Machine Learning Data Science Statistics Deep Learning 56

Smart Data Collective

AUGUST 10, 2021

Marketing and business strategy benefit greatly from data. People who are interested in data and statistics can do very well in a data science or analytics career. 5 Best Analytic Tools in 2021. So, what are the best analytics tools for businesses in 2021? RapidMiner.

Analytics 127

Analytics Data-driven Advertising Marketing 127

datapine

MAY 14, 2019

By acquiring a deep working understanding of data science and its many business intelligence branches, you stand to gain an all-important competitive edge that will help to position your business as a leader in its field. Hands down one of the best books for data science. It’s also one of the best books on data science around.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization.

Statistics 97

Statistics Metrics Visualization Finance 97

Smart Data Collective

SEPTEMBER 13, 2023

However, whichever social media account you run, will probably have an analytics page where you can view your statistics. The business account you have on let’s say Facebook will collect data from the marketing you are running. This is data you might have struggled under or missed some important sets.

Machine Learning 94

Machine Learning Marketing Strategy Optimization 94

Octopai

MAY 2, 2022

Data analytics ain’t what it used to be. As a data analyst, you’re no longer just providing data analytics services. You’re providing data analytics products. . Today, your business users have the same perspective on data analytics. Enter DataOps. What is DataOps? Issue detected?

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

Smart Data Collective

DECEMBER 19, 2021

Therefore, if you don’t preprocess the data before applying it in the machine learning or AI algorithms, you are most likely to get wrong, delayed, or no results at all. Hence, data preprocessing is essential and required. Python as a Data Processing Technology. Open Source: Python has an OSI-approved open source license.

Optimization 133

Optimization Machine Learning Data mining Statistics 133

AWS Big Data

APRIL 3, 2024

In the first part of this post, we walk through the integration between AWS Glue Data Quality and Amazon DataZone. We discuss how to visualize data quality scores in Amazon DataZone, enable AWS Glue Data Quality when creating a new Amazon DataZone data source, and enable data quality for an existing data asset.

Data Quality 87

Data Quality Visualization Metadata Metrics 87

Sisense

AUGUST 12, 2021

Just as important: the use of data is cracking open new possibilities, too. >>>Give >>>Give users the data and insights that makes sense. Using beer sales statistics to understand the consumer. RetailZoom analyzed beer sales statistics gathered from 95% of the supermarkets in its native Cyprus.

Sales 98

Sales Statistics Manufacturing Dashboards 98

Smarten

APRIL 12, 2023

Smarten announces the launch of SnapShot Anomaly Monitoring Alerts for Smarten Augmented Analytics. SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 118

Predictive Analytics Analytics Predictive Modeling Data mining 118

datapine

MARCH 19, 2019

According to the statistics portal Statista , there are currently around 4.78 No longer are we bound by the shackles of cumbersome desktop PCs or one specific geographical location to conduct research or complete online data analysis or other important online tasks. We live in a mobile world. billion mobile device users worldwide.

Dashboards 112

Dashboards Visualization Metrics KPI 112