Simplilearn

SEPTEMBER 29, 2021

Be it accounting, business analysis, marketing or coding, you need to have adequate awareness of. Microsoft Office including MS Excel, MS Word, MS PowerPoint and MS Project etc. are used by individuals both in their personal and professional sphere. Read More.

Business Analysis 246

Business Analysis Business Analysis 246

Analysts Corner

JANUARY 29, 2024

It is less practical and not about business analysis work on such projects. That is not an easy stack considering the outdated stack, lack of knowledge, and accessibility of non-public enterprise code. Alternatively, IBM conducts COBOL-to-Java translation with their code assistant. And this is where AI can flourish.

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IBM Support IBM cost IBM Maintenance Artificial Intelligence 130

Simplilearn

AUGUST 30, 2022

SonarQube is a tool for analysis of static code that is now pretty much an industry standard. As a developer, it is important that you maintain the quality of your code, and SonarQube helps ensure code quality. This blog provides the top SonarQube Interview Questions. Read More.

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Smart Data Collective

JULY 27, 2022

One way of ensuring data security is to perform code security auditing. It examines an application’s source code to identify potential security risks. In this regard, automated tools can provide a more comprehensive code analysis. Hence, regular code security audits ensure data security in software applications.

Data Security 285

Data Security Monitoring Documentation Data Management 285

Smart Data Collective

MARCH 16, 2022

Detecting such malware is especially tricky, that’s why more agile SOC teams set up a continuous renewal process of threat detection rules by implementing solutions like SOC Prime’s Detection as Code platform where they can find the most accurate and up-to-date content. Knowing Where They Are. Then, it activates the actual payload.

Cybersecurity 280

Cybersecurity Artificial Intelligence Digital Documentation 280

Simplilearn

DECEMBER 2, 2022

Apache Spark has become the most popular tool for big-data analysis. Spark brings a lot of implementation of practical algorithms for data mining, data analysis, machine learning, and algorithms on graphs. Read More.

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Data Mining Big Data 130

Simplilearn

APRIL 1, 2021

We are excited to announce the launch of the Software Engineer Masters Program, a course packed with hands-on code analysis and real-world projects to h. Read More.

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Simplilearn

OCTOBER 20, 2022

Probabilistic Models are one of the most important segments in Machine Learning, which is based on the application of statistical codes to data analysis. This dates back to one of the first approaches of machine learning and continues to be widely used today.

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Smart Data Collective

AUGUST 9, 2023

Organizations that use data analysis to improve their profitability can use the following techniques to streamline their operations and reorient their business workflows. Cut Down on Your Churn Rate No matter how good a given service is, some customers will stop using it over time.

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Data Analytics Data Analytics Artificial Intelligence Logistics 217

Smart Data Collective

FEBRUARY 24, 2022

All types and methods of testing can be divided into several large groups: by goals, by the chronology of execution, by formality, by the degree of automation, by the purpose of the systems, by the volume of the tested software, by the level of testing, by the performers of testing and by the execution of the code.

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IBM Maintenance IBM cost Artificial Intelligence Documentation 265

Analysts Corner

MARCH 12, 2023

In the digest below you will find answers to the questions like: how to perform SWOT analysis, how to use requirements traceability matrices, how to nail you requirements workshops, and probably most importantly how to overcame one of the biggest concerns of an aspiring BA — dealing with the problem of no prior experience. 31st March 2023 ?

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Agile Data Analytics Data Analytics Skillset 130

Smart Data Collective

SEPTEMBER 12, 2023

One analysis found that the market for AI in the profession is expected to be worth over $600 million within the next three years. We even pointed out that AI can improve the development of low-code frameworks. AI technology is rapidly changing the software industry. Furthermore, personalization nurtures customer allegiance.

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Predictive Analytics 250

Domo

OCTOBER 28, 2022

Earlier this year, one of our users made a post about how she used Domo and Jupyter Notebooks to run emotion detection, a type of sentiment analysis, on app reviews from the Android App Store. We decided that we wanted to share with everybody some code on how this works.

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Smart Data Collective

JULY 4, 2021

Data Analysis. As a form of AI, it goes against code instructions and undergoes the process of trial and error to produce accurate recommendations. Tech developers continuously create user-friendly ML solutions for data analytics that don’t require coding. For Non-Tech Users.

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E-Commerce Artificial Intelligence Cybersecurity Banking 358

Analysts Corner

MARCH 8, 2023

Python is a popular programming language used in a variety of fields, such as data analysis, machine learning, web development, and scientific computing. There are several popular Python IDEs available, such as PyCharm, Spyder, and Visual Studio Code. If you’re new to Python, getting started can seem daunting.

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Visualization Documentation 130

Smart Data Collective

DECEMBER 18, 2020

The research report released by Kaspersky Lab stated that the cybersecurity watchdog “identified several cases where the service was misused: attackers injected malicious code into sites, which collected all the data entered by users, and then sent it via Analytics. Exploiting Header Flaws. Image: US Government Accountability Office ).

Cybersecurity 210

Cybersecurity Documentation Government Innovation 210

Smart Data Collective

OCTOBER 20, 2021

In the current disruptive times, businesses depend heavily on information in real-time and data analysis techniques to make better business decisions, raising the bar for data integration. Machine Learning, on the other hand, can empower business users to parse through the big data structure to form data models with minimal coding.

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Artificial Intelligence Big Data Data Modelling Data Management 307

Smart Data Collective

JUNE 20, 2023

By intelligently handling routine activities like data entry, sorting, and basic calculations, AI can accelerate development even with low-code frameworks. It can spot potential issues in your code or formulas before they wreak havoc. We all know how time-consuming and repetitive some tasks can be, right? We’ve all been there!

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Artificial Intelligence Innovation Visualization User Experience 140

Smart Data Collective

FEBRUARY 24, 2022

The three biggest enemies to user onboarding are the lack of data analysis, data collection, and the wrong amount of information. Here is a list of user onboarding tools you can consider using: Appcues: best for code-free user onboarding, meaning that you can build onboarding experiences without having any knowledge of coding.

Data Analytics 274

Data Analytics Data Analytics Visualization User Experience 274

BA Squared

SEPTEMBER 12, 2021

So, do BAs and Product Owners have anything to do with DevOps, or is this just an all technical, code, automation, and deployment thing? This planning requires analysis and prioritization from a customer value perspective and can’t be done without a strong product ownership skill set which often includes the BA as well.

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Digital Transformation Customer Experience Customer Experience Monitoring 130

Smart Data Collective

MARCH 15, 2023

The scanner is a privacy intelligence tool that enables businesses to gain instant visibility of sensitive personal data and identify privacy issues in their source code. Piiano offers granular access controls and a lot of oversight over data usage within code, making it a good cloud data security tool.

Data Security 230

Data Security Cybersecurity Banking Monitoring 230

Analysts Corner

JANUARY 3, 2023

New articles 1) Business analysis tips for effective Product ownership by Nuno Santos It’s not new that a good application of business analysis practices helps Product Owners improve their day-to-day work. You wish there was a tool that could spit out SQL code when you put in the requirements. >

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Business Analysis Business Analysis Big Data Business Process Management 246

Smart Data Collective

APRIL 14, 2021

It comes coded in LookML, an SQ-like language that requires learning to set up. The best part about Tableau is the easy-to-use drag-and-drop user interface that makes it easy to create in-depth analysis and dashboards. You will be able to query, visualize, and connect business data without the need to write code.

Business Intelligence 333

Business Intelligence Business Intelligence Big Data Visualization 333

BizAcuity

NOVEMBER 22, 2022

Snowpipe continuously loads small data batches and incrementally makes them available for data analysis. For either method, you could either use a hand-coded method or leverage any number of the available ETL or ELT data integration tools. The second method for loading a Snowflake warehouse uses Snowpipe.

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Data Warehouse E-Commerce Real-time Data Data Architecture 246

Cprime

JULY 25, 2022

“Integrates” is ambiguous though – the more you put in to CI the more you get out of it, so other practices such as automated unit testing, static code analysis, frequency of check-in, and frequency of CI execution greatly enhance the process. A build script that builds your code. Test coverage analysis.

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Bridging the Gap

MARCH 30, 2023

While it’s important that a business analyst has a conceptual technical understanding as it helps you analyze the problem to be solved and communicate with technical stakeholders, you don’t need to be able to write code or run database queries. And a lot of times those requirements are extremely misleading. You could do that.

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Data Modelling Data Requirement Business Analysis Business Analysis 96

Analysts Corner

FEBRUARY 21, 2023

Don’t get confused with Business Analytics The very first mistake you might be doing is, using Business Analytics and Business Analysis interchangeably. No doubt, their dictionary has more words like statistics, investigation, data analysis, reports, etc. There is not just a difference of “ tics ” and “ sis ”…lol?.

E-Commerce 130

E-Commerce Project Management Business Analysis Business Analysis 130

Analysts Corner

JANUARY 5, 2024

Each of these situations requires analysis and development of new tasks and rules that will be the focus of an automation project so that they can be treated in a structured manner when they occur again. How Can ChatGPT Support Business Analysis? ChatGPT as a Tool for Business Analysis Will Artificial Intelligence Take My Place?

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Artificial Intelligence Monitoring Business Analysis Business Analysis 130

Smart Data Collective

JANUARY 2, 2023

Website error codes (404, 500, 403,503) lead to losing organic traffic. Data analytics and AI analysis tools make it easier to identify these errors. In addition, such tools will provide you with a detailed competitive analysis and technical audit, which will be valuable information for attracting new customers.

Data Analytics 310

Data Analytics Data Analytics E-Commerce Data Mining 310

Smart Data Collective

DECEMBER 21, 2022

Its purpose is two-fold: first, to ensure that all data meets its intended specifications; second, to identify and remove invalid or erroneous records that can disrupt the analysis process. Second, standardize the way you are presenting the data so that each field is formatted correctly for analysis.

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Big Data Data Quality Data Governance Government 277

Smart Data Collective

SEPTEMBER 24, 2021

In addition, machine learning is increasingly being used for “sentiment analysis” – determining what the sentiment of a review is (positive, negative, or neutral). Machine Learning and Sentiment Analysis. Machine learning and sentiment analysis is a fast and accurate way to do additional research and identify larger trends.

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Artificial Intelligence Customer Experience Customer Experience Data Requirement 306

Smart Data Collective

FEBRUARY 20, 2022

Rather, AWS developer tools facilitate the development process by putting at your disposal tools like software development kits (SDKs), code editors, and continuous integration and delivery (CI/CD) services, among others. AWS also offers developers the technology to develop smart apps using machine learning and complex algorithms.

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Cloud Computing Artificial Intelligence Monitoring Data Security 288

BA Careers

MARCH 28, 2023

Requirements Analysis Design Coding Testing Deployment. What is waterfall model in software engineering, let us discuss in details what is waterfall model and how waterfall model works. Topics covered in this Article. What is waterfall model in software engineering ? Requirements Gathering. Important Articles 1.

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Requirements Gathering 98

Smart Data Collective

DECEMBER 23, 2019

Years ago, when we talked about open source code, we were talking about something that was really only relevant to classic computer geeks – the ones running their computers on Unix and swapping bits of code on message boards. On its own, open source code isn’t safer or more vulnerable that proprietary code.

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Predictive Analytics Cybersecurity Monitoring 136

Smart Data Collective

NOVEMBER 28, 2022

Small business owners are still prone to see business intelligence as a luxury that they can’t afford, as it requires employing data specialists to manage dedicated data repositories, data consolidation and ongoing coded queries – all of which is a non-starter for organizations where each team member is required to wear so many hats.

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Artificial Intelligence Business Intelligence Business Intelligence Visualization 267

Analysts Corner

JANUARY 7, 2024

As a result, knowledge about a specific business logic is encoded in source code and kept in the minds of employees who work with that logic. That is why we also need Bottom-to-top: learning how the system works by testing it or reviewing the source code. But the code continues to exist without questioning its relevance.

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Smart Data Collective

MARCH 13, 2020

The better strategy is to demarcate each data science project into four distinct phases : Phase 1: Preliminary Analysis. Researcher, likes to create notebooks for writing code. Whether you’re writing code or analyzing data, this is a good rule of thumb to follow.

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