Business intelligence is no longer a strange phenomenon in the banking industry. It is a revolution that’s changing how banks perceive data and analytics. We’ll discuss the role of BI in banks in the modern-day scenario.
Why BI is important for C-Level Executives in BFSIKavika Roy
Business intelligence is used to extract insights from data and aid decision-making. Make the most of big data to better understand customers and improve their interactions with financial institutions.
In this article, we looked at how C-level executives can use BI tools to achieve their objectives.
Business intelligence (BI) refers to technologies and applications used to analyze data and present information to help corporate executives, managers, and other business users make informed decisions. Examples of how BI is used include hotels analyzing occupancy rates and revenue, banks determining profitable customers, and telecom companies providing targeted data access. BI provides insights into customer behavior, market trends, internal operations, and more to support strategic decision-making. The future of BI includes greater use of real-time analysis to provide up-to-date insights for time-sensitive business decisions.
This Presentation covers the basic concept of Business Intelligence, BI Technologies, BI Tools, Future of BI, Real time BI, Key Stages of BI, BI Industry & Decision Support Applications.
Business intelligence (BI) refers to technologies and applications used to analyze data and provide access to information about company operations. It involves collecting data from across the organization, storing it in data warehouses or data marts, and providing tools to access and analyze the data. The goal of BI is to help business users make more informed decisions by providing insights from large amounts of internal and external data. Key aspects of BI include data warehousing, online analytical processing, reporting, dashboards, scorecards, and data mining.
The document provides an overview of business intelligence (BI) and business analytics (BA). It defines BI as a variety of software applications used to analyze organizational data to make strategic, tactical, and operational decisions. BA is described as using data, analytics, and business models to gain insights and make better decisions. The key components of BI are data warehousing, business analytics, business performance management, and user interfaces. Descriptive, predictive, and prescriptive analytics are also discussed as types of analyses used in BA.
Finding The Best Business Intelligence Tool For Large Datasets.pdfGrow
Data is everywhere and getting crucial by the day. With its rising importance, it’s not far-fetched that finding suitable Business Intelligence software companies can be frustrating. We’ve listed down the top factors which can help you arrive at the dashboard Business Intelligence of your dreams. For more information, Grow.com
What is BI,Definition, examples, BI industry, Solutions, Evolution, Catogeries, Key Stages of BI, BI significance, BI technologies, tools, future of BI
Business intelligence (BI) refers to technologies and applications used to analyze data and present information to help make business decisions. BI evolved from systems in the 1970s and 1980s that provided executives with key performance data. It grew to include data mining, querying, reporting, analytics and more. BI helps businesses make more informed decisions through competitive analysis, customer behavior analysis, targeted strategies, scenario planning, and optimization. Real-time BI that provides constantly updated information is an emerging trend to meet the needs of businesses that want timely data. However, integrating disparate data sources and accounting for constantly changing business structures makes true real-time BI challenging to achieve.
Why BI is important for C-Level Executives in BFSIKavika Roy
Business intelligence is used to extract insights from data and aid decision-making. Make the most of big data to better understand customers and improve their interactions with financial institutions.
In this article, we looked at how C-level executives can use BI tools to achieve their objectives.
Business intelligence (BI) refers to technologies and applications used to analyze data and present information to help corporate executives, managers, and other business users make informed decisions. Examples of how BI is used include hotels analyzing occupancy rates and revenue, banks determining profitable customers, and telecom companies providing targeted data access. BI provides insights into customer behavior, market trends, internal operations, and more to support strategic decision-making. The future of BI includes greater use of real-time analysis to provide up-to-date insights for time-sensitive business decisions.
This Presentation covers the basic concept of Business Intelligence, BI Technologies, BI Tools, Future of BI, Real time BI, Key Stages of BI, BI Industry & Decision Support Applications.
Business intelligence (BI) refers to technologies and applications used to analyze data and provide access to information about company operations. It involves collecting data from across the organization, storing it in data warehouses or data marts, and providing tools to access and analyze the data. The goal of BI is to help business users make more informed decisions by providing insights from large amounts of internal and external data. Key aspects of BI include data warehousing, online analytical processing, reporting, dashboards, scorecards, and data mining.
The document provides an overview of business intelligence (BI) and business analytics (BA). It defines BI as a variety of software applications used to analyze organizational data to make strategic, tactical, and operational decisions. BA is described as using data, analytics, and business models to gain insights and make better decisions. The key components of BI are data warehousing, business analytics, business performance management, and user interfaces. Descriptive, predictive, and prescriptive analytics are also discussed as types of analyses used in BA.
Finding The Best Business Intelligence Tool For Large Datasets.pdfGrow
Data is everywhere and getting crucial by the day. With its rising importance, it’s not far-fetched that finding suitable Business Intelligence software companies can be frustrating. We’ve listed down the top factors which can help you arrive at the dashboard Business Intelligence of your dreams. For more information, Grow.com
What is BI,Definition, examples, BI industry, Solutions, Evolution, Catogeries, Key Stages of BI, BI significance, BI technologies, tools, future of BI
Business intelligence (BI) refers to technologies and applications used to analyze data and present information to help make business decisions. BI evolved from systems in the 1970s and 1980s that provided executives with key performance data. It grew to include data mining, querying, reporting, analytics and more. BI helps businesses make more informed decisions through competitive analysis, customer behavior analysis, targeted strategies, scenario planning, and optimization. Real-time BI that provides constantly updated information is an emerging trend to meet the needs of businesses that want timely data. However, integrating disparate data sources and accounting for constantly changing business structures makes true real-time BI challenging to achieve.
Business Intelligence & Analytical Solutions, BI Consultants Dubai - Pinnacle...Pinnacle Computer Systems
Our Business Intelligence & Analytics will help your business get valuable insights from business data. Consult our BI services today.
https://pinnacledxb.com/business-intelligence-bi-and-analytics-services-dubai/
Business Intelligence Consultants How to Choose the Right One? - By DataToBizKavika Roy
Your journey to business intelligence starts here. In this Article By DataToBiz, We explored the necessary steps to create a list of best fits for your company.
Technology-driven process for analyzing data and delivering actionable information that helps executives, managers, and workers make informed business decisions.
How does the business intelligence process work?
A business intelligence architecture includes more than just BI software. Business intelligence data is typically stored in a data warehouse built for an entire organization or in smaller data marts that hold subsets of business information for individual departments and business units, often with ties to an enterprise data warehouse. In addition, data lakes based on Hadoop clusters or other big data systems are increasingly used as repositories or landing pads for BI and analytics data, especially for log files, sensor data, text, and other types of unstructured or semi-structured data.
BI data can include historical information and real-time data gathered from source systems as it’s generated, enabling BI tools to support both strategic and tactical decision-making processes. Before it’s used in BI applications, raw data from different source systems generally must be integrated, consolidated, and cleansed using data integration and data quality management tools to ensure that BI teams and business users are analyzing accurate and consistent information.
From there, the steps in the BI process include the following:
data preparation, in which data sets are organized and modeled for analysis;
analytical querying of the prepared data;
distribution of key performance indicators (KPIs) and other findings to business users; and
use of the information to help influence and drive business decisions.
Initially, BI tools were primarily used by BI and IT professionals who ran queries and produced dashboards and reports for business users. Increasingly, however, business analysts, executives, and workers are using business intelligence platforms themselves, thanks to the development of self-service BI and data discovery tools. Self-service business intelligence environments enable business users to query BI data, create data visualizations, and design dashboards on their own.
BI programs often incorporate forms of advanced analytics, such as data mining, predictive analytics, text mining, statistical analysis, and big data analytics. A common example is predictive modeling which enables what-if analysis of different business scenarios. In most cases, though, advanced analytics projects are conducted by separate teams of data scientists, statisticians, predictive modelers, and other skilled analytics professionals, while BI teams oversee more straightforward querying and analysis of business data.
What is business intelligence (BI)?
It is a tool for transforming data into information and then that information into knowledge using various methodologies. The objective of this process is to optimize the decision-making of the company to the maximum since the acquired knowledge can be used to develop strategic or commercial plans.
Business Intelligence In Cyber Security | Cyberroot Risk AdvisoryCR Group
Business intelligence (BI) involves collecting, organizing, and analyzing data from within a business to help managers make more informed decisions. BI tools include spreadsheets, reporting software, data visualization software, data mining tools, and online analytical processing. These tools provide benefits like faster reporting, improved data quality, and the ability to base decisions on data rather than estimates. However, cyber security is integral to BI, as data governance and protection from cyber threats are ongoing priorities to prevent business interruptions from attacks.
Presenting the BI Approaches and Functions which is used to develop any kinds of Database system for any organization for their better operation. Trying to mention the functional overview of Database function which is used to develop any kind of business intelligence system.
Business intelligence in financial servicesKavika Roy
In the financial industry, business intelligence assists in realizing the full potential of the organization and its goods and services.
In this presentation, we looked at how technologies like Business Intelligence and Power BI are utilized in the banking and financial industries.
The document provides an overview of business intelligence (BI), including definitions, objectives, components, history, needs/benefits, features, uses, and examples. Some key points:
- BI is an umbrella term for architectures, tools, databases, and methods to improve business decision-making through analysis of facts and data-driven systems.
- The goal of BI is to transform raw data into meaningful and useful information through analytics that provides insights and knowledge for impactful decisions.
- Major BI components include data warehousing, extraction/transformation/loading tools, data marts, metrics/key performance indicators, dashboards, and online analytical processing reporting.
- BI has evolved from static reporting systems in
Business Intelligence, Portals, Dashboards and Operational Matrix with ShareP...Optimus BT
This document discusses business intelligence (BI) trends and the role of SharePoint 2010 in enabling BI capabilities. It outlines trends driving BI like predictive and real-time analytics. The vision is described as strategy-driven BI execution across the enterprise using tools like dashboards, reports and collaboration. SharePoint 2010 supports BI through features for self-service, group and organizational BI like Excel services, reporting and collaboration tools. Examples are provided of dashboards and reports built in SharePoint 2010.
Business analytics (BA) refers to the methods and techniques used to measure business performance. BA uses statistical analysis to transform raw data into meaningful insights. There are six major components of a BA solution: data mining, forecasting, predictive analytics, optimization, text mining, and visualization.
BA can be categorized into descriptive, predictive, and prescriptive analytics. Descriptive analytics answers "what happened" by analyzing past data. Predictive analytics predicts future outcomes and answers "what could happen." Prescriptive analytics determines optimal courses of action and answers "what should we do?" Together, these three categories of BA provide businesses with insights from data to improve decision-making.
The document discusses business intelligence (BI), including what it is, key points, examples of BI tools, why it is important and how it works, real-world applications, and benefits and disadvantages. Specifically:
- BI is a set of processes and technologies that analyzes raw data and converts it into meaningful and useful information to help businesses make better decisions.
- It combines analytics, data mining, visualization, and infrastructure to transform data into intelligence. Common BI tools include Qliksense, Zoho Analytics, and Clear Analytics.
- BI is important because it allows companies to better understand operations, customers, competitors and market trends to improve performance and increase profits.
- However, BI also has disadvantages
This document discusses key factors for successful business intelligence (BI) solutions. It outlines that smart companies use BI to gain insights and competitive advantages. BI solutions transform raw data into valuable information and knowledge through extraction, integration, analysis and feedback loops. The document then discusses various aspects of establishing successful BI solutions, including having executive sponsorship, aligning business and IT, prioritizing projects, and building an organizational culture that values data-driven decision making.
AI in Business Intelligence Impact use cases and implementationChristopherTHyatt
Data, data everywhere! In the contemporary business landscape, organizations are inundated with a constant stream of data. But without the ability to interpret and analyze this data effectively, it remains just that – data. This is where business intelligence (BI) comes in. As Carly Fiorina aptly stated, “The goal of business intelligence is to turn data into information and information into insight.“Business intelligence tools and strategies enable companies to uncover the latent opportunities hidden within their data, translating it into actionable insights that enhance decision-making processes.
Business intelligence (BI) refers to techniques used to analyze business data and present it to facilitate decision making. BI technologies provide historical, current, and predictive views of business operations to support better decisions. The major components of BI include applications like reporting, analytics, and dashboards. While BI helps improve productivity, decision making, and results, it also faces disadvantages like data piling, costs, and complexity.
Power BI helps in managing and showcasing data and allows you to alter your data sets to highlight insights. It also facilitates creating and managing your data relationships for your company. It comes with various pre-built visual interfaces which help you in laying out your findings and visuals.
Power bi implementation for finance services firmsaddendanalytics
Addend Analytics is a Microsoft Power BI-partner based in Mumbai, India. Apart from being authorized for Power BI implementations, Addend has successfully executed Power BI projects for 100+ clients across sectors like financial services, Banking, Insurance, Retail, Sales, Manufacturing, Real estate, Logistics, and Healthcare in countries like the US, Europe, Australia, and India. Companies partnering with us save their valuable time and efforts of searching and managing resources while saving hugely on the development costs and hence, most of the small and medium enterprises in North America prefer Addend to be their Power BI implementation partner.
Power BI for Banking: Dashboard to Analyze Financial OperationsKavika Roy
https://www.datatobiz.com/blog/power-bi-for-banking/
Power BI is a product by Microsoft developed to help with business analytics. Power BI is an effective tool for banks to track KPIs and streamline their services. This blog elaborates on the role of Power BI in the banking industry. Let’s see how consultants help banks use Power BI.
With the various technology solutions available and implemented in the banking industry, a lot of staple tasks are already eased with them. Banks are always bustling with activity. Customers come to deposit money, withdraw money, apply for loans, and so on. The multitudes of transactions per day are a part of the process. The yearly balance sheet with profit and loss is one way to measure a bank’s success. However, it’s not enough. Banks need to know what and how their customers feel.
How is the bank’s performance when measured against the KPIs? Are the procedures easy for customers to follow? How can a bank identify where the problem lies? Business analytics is the answer to these questions. Power BI is an effective data analysis tool developed by Microsoft. Banks can collect data from multiple sources and measure their performance using a single platform. Power BI consulting partners assist banks in using this effective tool to track KPIs and analyze the success of their financial operations.
Business intelligence is the process by which enterprises use strategies and technologies for analyzing current and historical data, with the objective of improving strategic decision-making and providing a competitive advantage.
If you want to learn more about data science and artificial intelligence in please visit.
https://www.learnbay.co/data-science-course/data-science-certification-in-mumbai/
Business intelligence (BI) involves collecting, structuring, and analyzing data to provide useful information for making strategic, tactical, and operational decisions. The key components of BI include gathering data from various sources, storing the data in databases or data warehouses, analyzing the data, and providing access to the analyzed data through reports, dashboards, and other tools. Popular BI tools are provided by companies like SAP, IBM, SAS, Oracle, Microsoft, and MicroStrategy and are used for applications such as analyzing customer behavior, sales forecasting, financial planning, marketing campaign optimization, and supply chain management.
Top 5 Travel Analytics Solutions Companies.pptxKavika Roy
Data analytics has a crucial role in the ever-changing travel industry. It helps businesses stay at the top of the game while increasing ROI. Here, we’ll discuss the top travel analytics solutions provider to partner with in the US market.
Transforming Hotel Data Analytics with a Resilient Datawarehouse.pptxKavika Roy
The travel and hospitality industry is evolving through the adoption of data analytics and BI solutions. This is done by modernizing the hotel data analytics infrastructure. Here, we’ll discuss the ways to build a resilient data warehouse and the role of analytics in the industry.
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Business Intelligence & Analytical Solutions, BI Consultants Dubai - Pinnacle...Pinnacle Computer Systems
Our Business Intelligence & Analytics will help your business get valuable insights from business data. Consult our BI services today.
https://pinnacledxb.com/business-intelligence-bi-and-analytics-services-dubai/
Business Intelligence Consultants How to Choose the Right One? - By DataToBizKavika Roy
Your journey to business intelligence starts here. In this Article By DataToBiz, We explored the necessary steps to create a list of best fits for your company.
Technology-driven process for analyzing data and delivering actionable information that helps executives, managers, and workers make informed business decisions.
How does the business intelligence process work?
A business intelligence architecture includes more than just BI software. Business intelligence data is typically stored in a data warehouse built for an entire organization or in smaller data marts that hold subsets of business information for individual departments and business units, often with ties to an enterprise data warehouse. In addition, data lakes based on Hadoop clusters or other big data systems are increasingly used as repositories or landing pads for BI and analytics data, especially for log files, sensor data, text, and other types of unstructured or semi-structured data.
BI data can include historical information and real-time data gathered from source systems as it’s generated, enabling BI tools to support both strategic and tactical decision-making processes. Before it’s used in BI applications, raw data from different source systems generally must be integrated, consolidated, and cleansed using data integration and data quality management tools to ensure that BI teams and business users are analyzing accurate and consistent information.
From there, the steps in the BI process include the following:
data preparation, in which data sets are organized and modeled for analysis;
analytical querying of the prepared data;
distribution of key performance indicators (KPIs) and other findings to business users; and
use of the information to help influence and drive business decisions.
Initially, BI tools were primarily used by BI and IT professionals who ran queries and produced dashboards and reports for business users. Increasingly, however, business analysts, executives, and workers are using business intelligence platforms themselves, thanks to the development of self-service BI and data discovery tools. Self-service business intelligence environments enable business users to query BI data, create data visualizations, and design dashboards on their own.
BI programs often incorporate forms of advanced analytics, such as data mining, predictive analytics, text mining, statistical analysis, and big data analytics. A common example is predictive modeling which enables what-if analysis of different business scenarios. In most cases, though, advanced analytics projects are conducted by separate teams of data scientists, statisticians, predictive modelers, and other skilled analytics professionals, while BI teams oversee more straightforward querying and analysis of business data.
What is business intelligence (BI)?
It is a tool for transforming data into information and then that information into knowledge using various methodologies. The objective of this process is to optimize the decision-making of the company to the maximum since the acquired knowledge can be used to develop strategic or commercial plans.
Business Intelligence In Cyber Security | Cyberroot Risk AdvisoryCR Group
Business intelligence (BI) involves collecting, organizing, and analyzing data from within a business to help managers make more informed decisions. BI tools include spreadsheets, reporting software, data visualization software, data mining tools, and online analytical processing. These tools provide benefits like faster reporting, improved data quality, and the ability to base decisions on data rather than estimates. However, cyber security is integral to BI, as data governance and protection from cyber threats are ongoing priorities to prevent business interruptions from attacks.
Presenting the BI Approaches and Functions which is used to develop any kinds of Database system for any organization for their better operation. Trying to mention the functional overview of Database function which is used to develop any kind of business intelligence system.
Business intelligence in financial servicesKavika Roy
In the financial industry, business intelligence assists in realizing the full potential of the organization and its goods and services.
In this presentation, we looked at how technologies like Business Intelligence and Power BI are utilized in the banking and financial industries.
The document provides an overview of business intelligence (BI), including definitions, objectives, components, history, needs/benefits, features, uses, and examples. Some key points:
- BI is an umbrella term for architectures, tools, databases, and methods to improve business decision-making through analysis of facts and data-driven systems.
- The goal of BI is to transform raw data into meaningful and useful information through analytics that provides insights and knowledge for impactful decisions.
- Major BI components include data warehousing, extraction/transformation/loading tools, data marts, metrics/key performance indicators, dashboards, and online analytical processing reporting.
- BI has evolved from static reporting systems in
Business Intelligence, Portals, Dashboards and Operational Matrix with ShareP...Optimus BT
This document discusses business intelligence (BI) trends and the role of SharePoint 2010 in enabling BI capabilities. It outlines trends driving BI like predictive and real-time analytics. The vision is described as strategy-driven BI execution across the enterprise using tools like dashboards, reports and collaboration. SharePoint 2010 supports BI through features for self-service, group and organizational BI like Excel services, reporting and collaboration tools. Examples are provided of dashboards and reports built in SharePoint 2010.
Business analytics (BA) refers to the methods and techniques used to measure business performance. BA uses statistical analysis to transform raw data into meaningful insights. There are six major components of a BA solution: data mining, forecasting, predictive analytics, optimization, text mining, and visualization.
BA can be categorized into descriptive, predictive, and prescriptive analytics. Descriptive analytics answers "what happened" by analyzing past data. Predictive analytics predicts future outcomes and answers "what could happen." Prescriptive analytics determines optimal courses of action and answers "what should we do?" Together, these three categories of BA provide businesses with insights from data to improve decision-making.
The document discusses business intelligence (BI), including what it is, key points, examples of BI tools, why it is important and how it works, real-world applications, and benefits and disadvantages. Specifically:
- BI is a set of processes and technologies that analyzes raw data and converts it into meaningful and useful information to help businesses make better decisions.
- It combines analytics, data mining, visualization, and infrastructure to transform data into intelligence. Common BI tools include Qliksense, Zoho Analytics, and Clear Analytics.
- BI is important because it allows companies to better understand operations, customers, competitors and market trends to improve performance and increase profits.
- However, BI also has disadvantages
This document discusses key factors for successful business intelligence (BI) solutions. It outlines that smart companies use BI to gain insights and competitive advantages. BI solutions transform raw data into valuable information and knowledge through extraction, integration, analysis and feedback loops. The document then discusses various aspects of establishing successful BI solutions, including having executive sponsorship, aligning business and IT, prioritizing projects, and building an organizational culture that values data-driven decision making.
AI in Business Intelligence Impact use cases and implementationChristopherTHyatt
Data, data everywhere! In the contemporary business landscape, organizations are inundated with a constant stream of data. But without the ability to interpret and analyze this data effectively, it remains just that – data. This is where business intelligence (BI) comes in. As Carly Fiorina aptly stated, “The goal of business intelligence is to turn data into information and information into insight.“Business intelligence tools and strategies enable companies to uncover the latent opportunities hidden within their data, translating it into actionable insights that enhance decision-making processes.
Business intelligence (BI) refers to techniques used to analyze business data and present it to facilitate decision making. BI technologies provide historical, current, and predictive views of business operations to support better decisions. The major components of BI include applications like reporting, analytics, and dashboards. While BI helps improve productivity, decision making, and results, it also faces disadvantages like data piling, costs, and complexity.
Power BI helps in managing and showcasing data and allows you to alter your data sets to highlight insights. It also facilitates creating and managing your data relationships for your company. It comes with various pre-built visual interfaces which help you in laying out your findings and visuals.
Power bi implementation for finance services firmsaddendanalytics
Addend Analytics is a Microsoft Power BI-partner based in Mumbai, India. Apart from being authorized for Power BI implementations, Addend has successfully executed Power BI projects for 100+ clients across sectors like financial services, Banking, Insurance, Retail, Sales, Manufacturing, Real estate, Logistics, and Healthcare in countries like the US, Europe, Australia, and India. Companies partnering with us save their valuable time and efforts of searching and managing resources while saving hugely on the development costs and hence, most of the small and medium enterprises in North America prefer Addend to be their Power BI implementation partner.
Power BI for Banking: Dashboard to Analyze Financial OperationsKavika Roy
https://www.datatobiz.com/blog/power-bi-for-banking/
Power BI is a product by Microsoft developed to help with business analytics. Power BI is an effective tool for banks to track KPIs and streamline their services. This blog elaborates on the role of Power BI in the banking industry. Let’s see how consultants help banks use Power BI.
With the various technology solutions available and implemented in the banking industry, a lot of staple tasks are already eased with them. Banks are always bustling with activity. Customers come to deposit money, withdraw money, apply for loans, and so on. The multitudes of transactions per day are a part of the process. The yearly balance sheet with profit and loss is one way to measure a bank’s success. However, it’s not enough. Banks need to know what and how their customers feel.
How is the bank’s performance when measured against the KPIs? Are the procedures easy for customers to follow? How can a bank identify where the problem lies? Business analytics is the answer to these questions. Power BI is an effective data analysis tool developed by Microsoft. Banks can collect data from multiple sources and measure their performance using a single platform. Power BI consulting partners assist banks in using this effective tool to track KPIs and analyze the success of their financial operations.
Business intelligence is the process by which enterprises use strategies and technologies for analyzing current and historical data, with the objective of improving strategic decision-making and providing a competitive advantage.
If you want to learn more about data science and artificial intelligence in please visit.
https://www.learnbay.co/data-science-course/data-science-certification-in-mumbai/
Business intelligence (BI) involves collecting, structuring, and analyzing data to provide useful information for making strategic, tactical, and operational decisions. The key components of BI include gathering data from various sources, storing the data in databases or data warehouses, analyzing the data, and providing access to the analyzed data through reports, dashboards, and other tools. Popular BI tools are provided by companies like SAP, IBM, SAS, Oracle, Microsoft, and MicroStrategy and are used for applications such as analyzing customer behavior, sales forecasting, financial planning, marketing campaign optimization, and supply chain management.
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The presentation outlines the growing trend and practical significance of side hustles in today's economic landscape. It emphasizes the need for flexible income streams and introduces the concept of a side hustle as a viable means to achieve financial goals. It explores the top side hustles for 2024, focusing on opportunities aligned with individual passions and preferences. It serves as a comprehensive guide for individuals seeking to diversify their income streams through side hustles in 2024. It not only introduces various lucrative opportunities but also underscores the necessity of strategic planning for sustained success in the evolving landscape of online entrepreneurship.
What are the Six Big Losses in OEE? - By DataToBizKavika Roy
Discover the six Big losses in OEE (Overall Equipment Effectiveness) and learn how to minimize them to optimize your production process.
Read the full article: https://www.datatobiz.com/blog/six-big-losses-in-oee/
About DataToBiz:
DataToBiz is a team of experts who are committed to helping businesses and enterprises adopt advanced technologies like Data Science, Artificial Intelligence, and Business Intelligence technologies. We possess rich experience in designing, implementing, and crafting Data Engineering Solutions, for a wide array of business challenges.
DataToBiz: https://www.datatobiz.com/
Types of Data Engineering Services - By DataToBizKavika Roy
Understand why businesses need data engineering services to dominate their market and propel their organization to greater heights.
Read the full article: https://www.datatobiz.com/blog/businesses-need-data-engineering-services/
About DataToBiz:
DataToBiz is a team of experts who are committed to helping businesses and enterprises adopt advanced technologies like Data Science, Artificial Intelligence, and Business Intelligence technologies. We possess rich experience in designing, implementing, and crafting Data Engineering Solutions, for a wide array of business challenges.
DataToBiz: https://www.datatobiz.com/
Top Business Intelligence Trends - By DataToBizKavika Roy
Ready to take your business to the next level? Discover the top business intelligence trends for this year and stay ahead of the game.
Read the full article: https://www.datatobiz.com/blog/top-business-intelligence-trends/
About DataToBiz:
DataToBiz is a team of experts who are committed to helping businesses and enterprises adopt advanced technologies like Data Science, Artificial Intelligence, and Business Intelligence technologies. We possess rich experience in designing, implementing, and crafting Data Engineering Solutions, for a wide array of business challenges.
DataToBiz: https://www.datatobiz.com/
How to use PrepAI to Generate HOTS Questions? - By PrepAIKavika Roy
Learn How to Generate HOTS Questions Using PrepAI: Unlock Your Creative Potential
Read the Full Article: https://www.prepai.io/blog/most-common-elearning-challenges/
About PrepAI
PrepAI is a smart, easy-to-use, intuitive question-generation platform powered by the latest AI/ML technology. It helps you create text and media-rich-question papers in multiple forms, making tests less of a hassle for any class and course.
PrepAI: https://www.prepai.io/
5 Ways to Develop Metacognitive Skills - By PrepAIKavika Roy
Discover the ways to develop metacognitive skills and enhance your cognitive abilities. Unlock your full potential with these mind-blowing tips!
Read the Full Article: https://www.prepai.io/blog/ways-to-develop-metacognitive-skills/
About PrepAI
PrepAI is a smart, easy-to-use, intuitive question-generation platform powered by the latest AI/ML technology. It helps you create text and media-rich-question papers in multiple forms, making tests less of a hassle for any class and course.
PrepAI: https://www.prepai.io/
Methods to Upskill and Reskill Your Employees.pdfKavika Roy
Learn how to upskill and reskill your employees to stay competitive in the industry. Our guide covers the strategies for developing your team's skills.
Read the Full Article: https://www.prepai.io/blog/upskill-and-reskill-your-employees/
About PrepAI
PrepAI is a smart, easy-to-use, intuitive question-generation platform powered by the latest AI/ML technology. It helps you create text and media-rich-question papers in multiple forms, making tests less of a hassle for any class and course.
PrepAI: https://www.prepai.io/
Common eLearning Challenges and Solutions- By PrepAIKavika Roy
Is eLearning stressing you out? Our blog has got you covered with solutions to the most common elearning challenges.
Read the Full Article: https://www.prepai.io/blog/most-common-elearning-challenges/
About PrepAI
PrepAI is a smart, easy-to-use, intuitive question-generation platform powered by the latest AI/ML technology. It helps you create text and media-rich-question papers in multiple forms, making tests less of a hassle for any class and course.
PrepAI: https://www.prepai.io/
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
1. Is BI a Revolution in the
Banking Industry?
www.datatobiz.com
www.datatobiz.com
2. Business intelligence is a set of technologies, processes, architectures that help collect,
clean, and convert raw data into meaningful and actionable insights. BI is a suite of
software applications and services used for transforming data into intelligence.
Business intelligence impacts the operational, strategic, and tactical decisions of an
establishment. BI tools are used to collect, clean, format, process, analyze, and
present data in real-time.
Applications such as Power BI, Tableau, Qlik, etc., are some well-known business
intelligence tools used by businesses from different industries. Power BI is the most
preferred tool in the banking industry.
What Is Business Intelligence?
www.datatobiz.com
3. What to do?
Where to go?
How to achieve the goals?
What are customers thinking?
What do customers want?
Which financial products should you offer? And so on.
Business analytics help in understanding the bank’s data based on statistical models
and quantitative methods. Analytics can be used in various ways in the banking
industry. The core reason to use business analytics is to answer questions like:
Business analytics is a part of BI.
What Is Business Analytics in Banking?
www.datatobiz.com
4. Consumer Trend Forecasting
Better Marketing Effectiveness
Data and Cybersecurity
Retain Customers
Calculating Credit Risk
Compliance Assurance
Real-Time Analytical Dashboards
How Is Business Intelligence Used in
Banking?
www.datatobiz.com
5. It is an easy-to-use software application.
Power BI delivers results in real-time.
The tool is multi-device compatible.
You can integrate your applications, tools, and database on the cloud platform.
There’s no need to worry about missing links or lost information.
Power BI is not only an analytical tool but also a data visualization tool.
You can run advanced analytics using Power BI and discover new market
opportunities.
Power BI for Banking Analytics
www.datatobiz.com
6. Read the full article
https://www.datatobiz.com/blog/bi-a-
revolution-in-the-banking-industry/
www.datatobiz.com