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.
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POS software Dubai with complete customization Control every area of your business, from production planning and execution to quality assurance and maintenance.
This document discusses four key business intelligence applications: sales intelligence, visualization, reporting, and performance management. Sales intelligence uses customer relationship management software and BI tools to get a sophisticated view of customers and make informed sales decisions. Visualization presents business data in intuitive visual formats to help employees draw insights. Reporting uses BI to generate staffing, expense, sales, and customer service reports to monitor business performance. Performance management allows organizations to monitor goal progress based on time frames and use data to gauge overall productivity.
Justifying business intelligence (BI) investments is challenging because the benefits are often intangible. Unlike systems that replace headcount or manual processes, BI's value is difficult to quantify with direct cost savings or revenue increases. While some metrics may help the business case, BI projects require faith from decision-makers and compelling arguments from IT and business stakeholders. Effective justification focuses on collaboration to identify business value, emphasizes soft benefits over hard metrics, and seeks executive sponsorship to endorse intangible gains like improved decision-making and productivity.
Why use Power BI Sales Dashboard to Gain Better Sales Insights.pdfKavika Roy
Ready to supercharge your sales results? Our guide to Power BI sales dashboards covers all, from importing data to creating custom visualizations.
Read full Article: https://www.datatobiz.com/blog/guide-to-power-bi-sales-dashboard/
This document discusses developing a dashboard of key performance indicators (KPIs) to help guide businesses. It recommends establishing KPIs that measure customer satisfaction, sales performance by channel, inventory performance, cash flow needs, and other important metrics. A KPI dashboard can visually display these critical metrics from each department on one online platform. This gives management an accurate picture of business performance while allowing them to drill down into details. Regular benchmarking of KPIs against past performance can help identify areas for improvement and increased efficiencies to drive profitability and customer retention.
Business Intelligence White Paper March11craig1201
This document discusses how business intelligence (BI) tools can help small and medium enterprises (SMEs) navigate economic challenges by providing insights from their data. Specifically:
1) BI tools allow SMEs to analyze data from various sources to understand which products and customers are most profitable and how business decisions may impact key metrics.
2) While traditionally seen as too complex and expensive for SMEs, lower-cost BI solutions now exist that are designed for smaller businesses.
3) Implementing BI requires commitment but can provide a substantial competitive advantage by facilitating better decision-making through analytics, dashboards, and reporting.
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.
How do businesses use business intelligence (BI) technology.pdfJose thomas
POS software Dubai with complete customization Control every area of your business, from production planning and execution to quality assurance and maintenance.
This document discusses four key business intelligence applications: sales intelligence, visualization, reporting, and performance management. Sales intelligence uses customer relationship management software and BI tools to get a sophisticated view of customers and make informed sales decisions. Visualization presents business data in intuitive visual formats to help employees draw insights. Reporting uses BI to generate staffing, expense, sales, and customer service reports to monitor business performance. Performance management allows organizations to monitor goal progress based on time frames and use data to gauge overall productivity.
Justifying business intelligence (BI) investments is challenging because the benefits are often intangible. Unlike systems that replace headcount or manual processes, BI's value is difficult to quantify with direct cost savings or revenue increases. While some metrics may help the business case, BI projects require faith from decision-makers and compelling arguments from IT and business stakeholders. Effective justification focuses on collaboration to identify business value, emphasizes soft benefits over hard metrics, and seeks executive sponsorship to endorse intangible gains like improved decision-making and productivity.
Why use Power BI Sales Dashboard to Gain Better Sales Insights.pdfKavika Roy
Ready to supercharge your sales results? Our guide to Power BI sales dashboards covers all, from importing data to creating custom visualizations.
Read full Article: https://www.datatobiz.com/blog/guide-to-power-bi-sales-dashboard/
This document discusses developing a dashboard of key performance indicators (KPIs) to help guide businesses. It recommends establishing KPIs that measure customer satisfaction, sales performance by channel, inventory performance, cash flow needs, and other important metrics. A KPI dashboard can visually display these critical metrics from each department on one online platform. This gives management an accurate picture of business performance while allowing them to drill down into details. Regular benchmarking of KPIs against past performance can help identify areas for improvement and increased efficiencies to drive profitability and customer retention.
Business Intelligence White Paper March11craig1201
This document discusses how business intelligence (BI) tools can help small and medium enterprises (SMEs) navigate economic challenges by providing insights from their data. Specifically:
1) BI tools allow SMEs to analyze data from various sources to understand which products and customers are most profitable and how business decisions may impact key metrics.
2) While traditionally seen as too complex and expensive for SMEs, lower-cost BI solutions now exist that are designed for smaller businesses.
3) Implementing BI requires commitment but can provide a substantial competitive advantage by facilitating better decision-making through analytics, dashboards, and reporting.
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.
A Comprehensive Guide to Business Intelligence Reporting.pdfInference Labs
In today's data-driven world, businesses are bombarded with information from countless sources. Turning this data into actionable insights is crucial for making informed decisions, optimizing operations, and achieving strategic goals. This is where Business Intelligence (BI) reporting comes in, serving as a roadmap to navigate the data labyrinth and unearth hidden gems of knowledge.
Visit us: https://inference.in/bi/
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.
How to create an analytics dashboard (with examples).pdfWebMaxy
Heads up, business owners! 📣
Are you wanting to create a data-driven analytics dashboard?
We've got you covered!
Learn how to create an analytics dashboard with examples!
Check out our latest blog post to learn some simple steps for creating an analytics dashboard to track your business performance! http://bit.ly/3Y1CaFf
And get started with WebMaxy for free now: https://calendly.com/webmaxy/30min
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Business Intelligence (BI) for Recession on Digit Channel ConnectDhiren Gala
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- Sanjay Mehta on Digit Channel Connect
Join us for our tenth Greenville HUG meeting of 2023 where Emilio from Boundify will share his INBOUND 2023 experiences. Explore the latest trends and strategies in inbound marketing, valuable insights, and actionable takeaways.
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Welcome to this blog, where the cloud experts at VC ERP will guide you through a detailed analysis of the two leading business intelligence (BI) giants. We will delve into their primary features, comparing their functionalities, including data acquisition and visualization, to provide you with a comprehensive understanding. Visit: https://www.vc-erp.com/power-bi-vs-sac-which-bi-solution-reigns-supreme-in-business-intelligence/
Dashboard is a visual display of the most important information needed to achieve one or more objectives which fits entirely on a single computer screen so it can be monitored at a glance
Learn the essentials of creating effective Power BI reports and discover how you can use them to tell compelling visual stories about your data.
Why is Report Design Important?
It's now easier than ever to design reports and dashboards thanks to a huge variety of BI platforms. However, many of these fail to live up to their purpose and provide true business value.
Fortunately, there are some good design guidelines that you can follow to ensure that your reports are useful and able to convey key business insights to those who use them. In particular, a well-designed report should be able to:
Simplify complex information
Convey insights as concisely as possible
Elaborate on information only as needed
Power BI for Retail Industry: Dominate the SectorKavika Roy
Power BI is one of the technological advancements that enable retail businesses to use its data visualization functionality to improve profitability and efficiency while acting on real-time insights.
In this article, we look at different applications of Power BI for retail and what makes it one of the most efficient retail reporting tools.
How to Create Financial Analytics Dashboards for Banks and Accounting ServicesKavika Roy
A financial dashboard provides complete control over a bank's daily operations. The dashboard provides real-time reports on the establishment's performance against the specified KPIs. In this article, we have talked about Financial Analytics Dashboards for BFSI Sector.
Sales Analytics is a pre-built BI Solution that helps user to make critical Sales decisions to drive profitable growth and be competitive in the market place. This solution is built using Jaspersoft BI tools for Pre-built Dashboard and reports, JasperETL for Data integration and Postgres database for hosting datawarehouse.
People.ai is an AI platform that helps sales teams become more efficient in 6 key ways:
1. It increases CRM adoption by automatically logging activities and contacts.
2. It boosts sales productivity by reducing administrative tasks like data entry.
3. It enables data-driven sales coaching by providing metrics on reps' activities.
4. It improves forecasting, pipeline analysis, and deal intelligence with more accurate data.
5. It maintains a self-healing contact database by identifying errors and keeping data current.
6. It creates unprecedented buying group visibility to focus marketing and sales efforts.
Finding The Best Business Intelligence Tool For Large Datasets.pdfGrow
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Heads up, business owners! 📣
Are you wanting to create a data-driven analytics dashboard?
We've got you covered!
Learn how to create an analytics dashboard with examples!
Check out our latest blog post to learn some simple steps for creating an analytics dashboard to track your business performance! http://bit.ly/3Y1CaFf
And get started with WebMaxy for free now: https://calendly.com/webmaxy/30min
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Business Intelligence (BI) is made for times like these! “When cash runs out that’s when thinking starts.” This statement is very true in downturn or recession times
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Power BI vs SAC: Which BI Solution Reigns Supreme in Business Intelligence?VCERPConsultingPvtLt1
Welcome to this blog, where the cloud experts at VC ERP will guide you through a detailed analysis of the two leading business intelligence (BI) giants. We will delve into their primary features, comparing their functionalities, including data acquisition and visualization, to provide you with a comprehensive understanding. Visit: https://www.vc-erp.com/power-bi-vs-sac-which-bi-solution-reigns-supreme-in-business-intelligence/
Dashboard is a visual display of the most important information needed to achieve one or more objectives which fits entirely on a single computer screen so it can be monitored at a glance
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Why is Report Design Important?
It's now easier than ever to design reports and dashboards thanks to a huge variety of BI platforms. However, many of these fail to live up to their purpose and provide true business value.
Fortunately, there are some good design guidelines that you can follow to ensure that your reports are useful and able to convey key business insights to those who use them. In particular, a well-designed report should be able to:
Simplify complex information
Convey insights as concisely as possible
Elaborate on information only as needed
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1. It increases CRM adoption by automatically logging activities and contacts.
2. It boosts sales productivity by reducing administrative tasks like data entry.
3. It enables data-driven sales coaching by providing metrics on reps' activities.
4. It improves forecasting, pipeline analysis, and deal intelligence with more accurate data.
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https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
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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
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...Kaxil Naik
Navigating today's data landscape isn't just about managing workflows; it's about strategically propelling your business forward. Apache Airflow has stood out as the benchmark in this arena, driving data orchestration forward since its early days. As we dive into the complexities of our current data-rich environment, where the sheer volume of information and its timely, accurate processing are crucial for AI and ML applications, the role of Airflow has never been more critical.
In my journey as the Senior Engineering Director and a pivotal member of Apache Airflow's Project Management Committee (PMC), I've witnessed Airflow transform data handling, making agility and insight the norm in an ever-evolving digital space. At Astronomer, our collaboration with leading AI & ML teams worldwide has not only tested but also proven Airflow's mettle in delivering data reliably and efficiently—data that now powers not just insights but core business functions.
This session is a deep dive into the essence of Airflow's success. We'll trace its evolution from a budding project to the backbone of data orchestration it is today, constantly adapting to meet the next wave of data challenges, including those brought on by Generative AI. It's this forward-thinking adaptability that keeps Airflow at the forefront of innovation, ready for whatever comes next.
The ever-growing demands of AI and ML applications have ushered in an era where sophisticated data management isn't a luxury—it's a necessity. Airflow's innate flexibility and scalability are what makes it indispensable in managing the intricate workflows of today, especially those involving Large Language Models (LLMs).
This talk isn't just a rundown of Airflow's features; it's about harnessing these capabilities to turn your data workflows into a strategic asset. Together, we'll explore how Airflow remains at the cutting edge of data orchestration, ensuring your organization is not just keeping pace but setting the pace in a data-driven future.
Session in https://budapestdata.hu/2024/04/kaxil-naik-astronomer-io/ | https://dataml24.sessionize.com/session/667627
"Financial Odyssey: Navigating Past Performance Through Diverse Analytical Lens"sameer shah
Embark on a captivating financial journey with 'Financial Odyssey,' our hackathon project. Delve deep into the past performance of two companies as we employ an array of financial statement analysis techniques. From ratio analysis to trend analysis, uncover insights crucial for informed decision-making in the dynamic world of finance."
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
2. About the Topic
Regardless of which domain you belong to, if you
have to deal with lots of structured, semi-structured,
or unstructured data, Power BI is for you. So, in this
section, we’ll talk about different departments within
a company that uses or can use Power BI
Dashboard.
3. Management
The c-level executives can use the
Power BI dashboard to understand
operational KPIs such as profit, loss,
net revenue, customer retention,
etc.
Dashboards also give insights into
investor summaries and financial
overviews.
Here’s what a management Power
BI Dashboard looks like
4. Finance
The CFO and other folks in the
finance department can have an
overview of overall revenue,
profit, total customers,
performance by region, and
whatnot.
Here’s what a finance dashboard
looks like
5. Sales
Sales teams have to deal with
huge volumes of data which can
be cumbersome.
However, Power BI makes it easy.
With Power BI’s sales dashboard,
the sales managers can visualize
sales data such as total sales,
opportunities, average velocity,
etc.
Here’s what a Sales dashboard
looks like
6. Human Resource
When it comes to managing
companies with hundreds or
thousands of employees, it can be
hard for HR managers to manage
everything.
However, with Power BI HR Dashboard,
the job becomes a piece of cake.
Using Power BI, HR managers can
have a hawk-eye view of all the
employees in the company.
Here’s what a Power BI HR dashboard
looks like:
7. Marketing
Marketers who wish to
understand different marketing
metrics like campaign success,
And how customers are
interacting with their website
can use Power BI’s marketing
dashboard.
Here’s what it looks like
8. Conclusion
Power BI is an indispensable
business intelligence tool for any
business that deals with tons of
data each day. While there are
other tools such as Tableau,
Sisense, and Zoho Analytics in the
same domain, Power BI tops the list
because of the no-code drag-
and-drop function, ease of use,
and customization.
9. Thank You For Reading!
Check out more: www.datatobiz.com