Pickl AI

JUNE 12, 2023

Tableau is a data visualisation software helping you to generate graphics-rich reporting and analysing enormous volumes of data. With the help of Tableau, organisations have been able to mine and gather actionable insights from granular sources of data. Let’s read the blog to find out!

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Pickl AI

OCTOBER 14, 2024

Summary: This article explores different types of Data Analysis, including descriptive, exploratory, inferential, predictive, diagnostic, and prescriptive analysis. Introduction Data Analysis transforms raw data into valuable insights that drive informed decisions. What is Data Analysis?

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Smart Data Collective

NOVEMBER 25, 2019

Some of these new tools use AI to predict events more accurately by employing predictive analytics to identify subtle relationships between even seemingly unrelated variables. Predictive analytics is the use of data and AI-powered algorithms to help analysts forecast the future and better predict business outcomes.

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Pickl AI

NOVEMBER 22, 2024

Reveals hidden patterns and trends within large volumes of data. Supports predictive analytics to anticipate market trends and behaviours. Benefits of Big Data Visualization Big Data Visualization is an essential tool for organisations looking to make sense of vast amounts of data.

Data Visualization 52

Data Visualization Big Data Big Data Power BI 52

Data Science Blog

NOVEMBER 15, 2023

The lower part of the iceberg is barely visible to the normal analyst on the tool interface, but is essential for implementation and success: this is the Event Log as the data basis for graph and data analysis in Process Mining. The creation of this data model requires the data connection to the source system (e.g.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

Dataconomy

MAY 16, 2025

Anticipating problems and opportunities Advanced analytics not only helps in identifying current problems but also highlights future opportunities for proactive business strategy adjustments. Techniques in advanced analytics Organizations employ a variety of techniques for effective data analysis, each suited for different types of insights.

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How to Learn Machine Learning

APRIL 26, 2025

This includes duplicate removal, missing value treatment, variable transformation, and normalization of data. Tools like Python (with pandas and NumPy), R, and ETL platforms like Apache NiFi or Talend are used for data preparation before analysis. Deployment and Monitoring Once a model is built, it is moved to production.

Data Science 52

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Pickl AI

NOVEMBER 18, 2024

Summary: Power BI alternatives like Tableau, Qlik Sense, and Zoho Analytics provide businesses with tailored Data Analysis and Visualisation solutions. Selecting the right alternative ensures efficient data-driven decision-making and aligns with your organisation’s goals and budget.

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Pickl AI

APRIL 21, 2025

Exploring the Ocean If Big Data is the ocean, Data Science is the multifaceted discipline of extracting knowledge and insights from data, whether it’s big or small. It’s an interdisciplinary field that blends statistics, computer science, and domain expertise to understand phenomena through data analysis.

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Pickl AI

OCTOBER 17, 2024

Summary: Descriptive Analytics tools transform historical data into visual reports, helping businesses identify trends and improve decision-making. Popular tools like Power BI, Tableau, and Google Data Studio offer unique features for Data Analysis. What is Descriptive Analytics?

Analytics 52

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IBM Journey to AI blog

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.

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ODSC - Open Data Science

FEBRUARY 2, 2023

Being able to discover connections between variables and to make quick insights will allow any practitioner to make the most out of the data. Analytics and Data Analysis Coming in as the 4th most sought-after skill is data analytics, as many data scientists will be expected to do some analysis in their careers.

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Pickl AI

FEBRUARY 4, 2024

Alteryx’s Capabilities Data Blending: Effortlessly combine data from multiple sources. Predictive Analytics: Leverage machine learning algorithms for accurate predictions. This makes Alteryx an indispensable tool for businesses aiming to glean insights and steer their decisions based on robust data.

Data Preparation 52

Data Preparation Tableau Data Visualization Analytics 52

Pickl AI

JANUARY 15, 2025

The primary functions of BI tools include: Data Collection: Gathering data from multiple sources including internal databases, external APIs, and cloud services. Data Processing: Cleaning and organizing data for analysis. Data Analysis : Utilizing statistical methods and algorithms to identify trends and patterns.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 52

Pickl AI

OCTOBER 15, 2024

Predictive Analytics Predictive analytics involves using statistical algorithms and Machine Learning techniques to forecast future events based on historical data. It analyses patterns to predict trends, customer behaviours, and potential outcomes.

Analytics 52

Analytics Analytics Predictive Analytics Machine Learning 52

Pickl AI

DECEMBER 4, 2024

A key aspect of this evolution is the increased adoption of cloud computing, which allows businesses to store and process vast amounts of data efficiently. According to recent statistics, 56% of healthcare organisations have adopted predictive analytics to improve patient outcomes.

Data Science 52

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Pickl AI

JANUARY 9, 2025

Summary: Operations Analyst job in 2025 are integral to improving efficiency, data analysis, and process optimisation. With career growth opportunities and a focus on data-driven decisions, this job remains central to organisational success. Their roles now include using advanced technologies like AI and automation.

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Pickl AI

DECEMBER 2, 2024

Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets. Processing frameworks like Hadoop enable efficient data analysis across clusters.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Key Components of Data Intelligence In Data Intelligence, understanding its core components is like deciphering the secret language of information.

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Pickl AI

FEBRUARY 19, 2025

The main goal of Data Analytics is to improve decision-making. With the proper Data Analysis, businesses can reduce costs, increase profits, and provide better services. For example, a weather app predicts rainfall using past climate data. Apache Spark : A tool that handles big data processing.

Data Science 52

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Pickl AI

NOVEMBER 25, 2024

Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets. Processing frameworks like Hadoop enable efficient data analysis across clusters.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

JULY 3, 2023

Here are steps you can follow to pursue a career as a BI Developer: Acquire a solid foundation in data and analytics: Start by building a strong understanding of data concepts, relational databases, SQL (Structured Query Language), and data modeling.

Business Intelligence 52

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Pickl AI

APRIL 15, 2024

Key Takeaways Pickl.AI’s Data Science Job Guarantee Program offers an online comprehensive curriculum and practical training. With a 1-year job guarantee, it focuses on essential skills like Python, Tableau, SQL, and machine learning. Data Mining : Think of data mining as digging for gold in a mountain of data.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

Pickl AI

APRIL 2, 2024

There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. Think of it as summarizing past data to answer questions like “Which products are selling best?” ” or “What are our customer demographics?”

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Pickl AI

DECEMBER 4, 2024

Machine Learning Understanding Machine Learning algorithms is essential for predictive analytics. Data Visualisation Communicating findings effectively through visualisation tools (e.g., Tableau or Matplotlib) is critical for presenting insights to stakeholders who may not have a technical background.

Data Science 52

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Pickl AI

JANUARY 28, 2025

Effective data modeling enhances the usability of the BI system by making it easier to navigate through complex datasets. Data Analysis At this stage, organizations use various analytical techniques to derive insights from the stored data: Descriptive Analytics: Provides insights into past performance by summarizing historical data.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

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Pickl AI

MAY 29, 2024

Understanding Data Science Data Science is a multidisciplinary field that combines statistics, mathematics, computer science, and domain-specific knowledge to extract insights and wisdom from structured and unstructured data. Data Science has been critical in providing insights and solutions based on Data Analysis.

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Pickl AI

SEPTEMBER 11, 2024

Employers often look for candidates with a deep understanding of Data Science principles and hands-on experience with advanced tools and techniques. With a master’s degree, you are committed to mastering Data Analysis, Machine Learning, and Big Data complexities.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Pickl AI

JUNE 4, 2024

Machine learning is used in healthcare to develop predictive models, personalize treatment plans, and automate tasks. Big Data Analytics This involves analyzing massive datasets that are too large and complex for traditional data analysis methods.

Data Science 52

Data Science Big Data Analytics Big Data Analytics Predictive Analytics 52

Pickl AI

DECEMBER 2, 2024

Summary: Incorporating TabPy into Tableau allows users to execute Python scripts directly within their dashboards, significantly enhancing analytical capabilities. One powerful combination is the integration of TabPy (Tableau Python Server) with Tableau , a leading data visualisation tool. What is TabPy?

Tableau 52

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Dataconomy

MARCH 7, 2025

Salesforce Einstein Built into Salesforces CRM ecosystem , Einstein AI offers predictive analytics, automated insights, and personalized recommendations. Sales teams can forecast trends, optimize lead scoring, and enhance customer engagement all while reducing manual data analysis.

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