Analytics for Startups
•
0 likes•18 views
The document discusses using data to provide visibility into business processes, derive insights, and suggest actions. It advocates automating processes to make more organizational data visible, then analyzing the data to find simple connections and statistics to highlight important insights. These insights can then help strategize and suggest tactical actions, with the goal of deriving deeper insights that improve business outcomes. The key is to start small by focusing on low-hanging fruits and keep expanding visibility, derivative data, and insight-driven actions over time.
Report
Share
Report
Share
Download to read offline
Recommended
Simplify your analysis strategy
Companies should simplify their analysis strategies by focusing on generating insights from data that lead directly to outcomes, accelerating the data collection and analysis process using business intelligence, data visualization, and data discovery techniques. Analytics applications and machine learning can also streamline analysis workflows and reduce human effort so companies spend less time analyzing data and more time taking data-driven actions.
A Leader’s Guide to Data Analytics
The document summarizes key points from an article on using data analytics as a business leader. It outlines 4 important steps: 1) Start by defining the problem to be solved before looking at data; 2) Understand how the data was generated to identify biases; 3) Use existing business knowledge to interpret unexpected results; and 4) Develop a culture where leaders have their own understanding of analytics instead of just relying on experts. Developing this type of working knowledge of data science enables leaders to make better informed decisions and avoid faulty assumptions based on data.
A leader’s guide to data analytics
This document provides guidance for leaders on developing a working knowledge of data analytics. It explains that while data analytics may seem technically complex, they are really thinking skills that all managers should cultivate. The document recommends that leaders start by identifying problems data can address, understand how relevant data was generated, use their domain expertise to interpret results, and gain enough knowledge to make informed decisions rather than relying on assumptions. Developing these analytics skills can help leaders measure operations in detail and make better decisions.
Predictive Finance
SAP's analytics solutions help businesses anticipate outcomes, forecast more accurately, and increase the success of forward-looking statements. The solutions mine big data to spot trends, risks, and patterns, and allow users to run scenarios to find the best outcomes. This helps businesses act proactively to solve problems and seize opportunities.
Simplify your analytics strategy by Jayesh Dosi
This is with reference to ppt submission during Data Analytics Internship under the guidance of Prof. Sameer Mathur
A leader's guide to data analytics
This document discusses the importance for business leaders to have a working knowledge of data analytics. While data science has become essential, many leaders are hesitant to get involved in the technical aspects. The key is for leaders to be able to distinguish good data from bad and understand where analytics can provide value. Leaders should view analytics as integrated into business plans and start by defining the problem. They also need to understand how the data was generated and use their domain knowledge to evaluate results. Managers cannot rely solely on data scientists and ultimately must choose which problems to solve and how to incorporate analytics.
Data is worthless if you don’t commuincate it
A manager should analyze projects and data instead of just waiting for results, as analysis provides probable predictions and allows issues to be addressed proactively. Good quantitative data analysis helps understand the business problem, measure impact, identify available data, form initial hypotheses, and determine solutions and their impact, taking the business to the next level. Analysis is more dependable than relying solely on results or miracles. A smart manager is also an analyst.
Simplify your analytics strategy
This document discusses how data analytics can help solve complex business problems. It recommends accelerating data access to gain insights more quickly. With more data comes more opportunities to drive business value through discovering more patterns. There are many elements to consider in analytics strategies like business goals, technologies, and data sources which are always changing. The right decisions made using predictive analytics can lead a company to success.
Recommended
Simplify your analysis strategy
Companies should simplify their analysis strategies by focusing on generating insights from data that lead directly to outcomes, accelerating the data collection and analysis process using business intelligence, data visualization, and data discovery techniques. Analytics applications and machine learning can also streamline analysis workflows and reduce human effort so companies spend less time analyzing data and more time taking data-driven actions.
A Leader’s Guide to Data Analytics
The document summarizes key points from an article on using data analytics as a business leader. It outlines 4 important steps: 1) Start by defining the problem to be solved before looking at data; 2) Understand how the data was generated to identify biases; 3) Use existing business knowledge to interpret unexpected results; and 4) Develop a culture where leaders have their own understanding of analytics instead of just relying on experts. Developing this type of working knowledge of data science enables leaders to make better informed decisions and avoid faulty assumptions based on data.
A leader’s guide to data analytics
This document provides guidance for leaders on developing a working knowledge of data analytics. It explains that while data analytics may seem technically complex, they are really thinking skills that all managers should cultivate. The document recommends that leaders start by identifying problems data can address, understand how relevant data was generated, use their domain expertise to interpret results, and gain enough knowledge to make informed decisions rather than relying on assumptions. Developing these analytics skills can help leaders measure operations in detail and make better decisions.
Predictive Finance
SAP's analytics solutions help businesses anticipate outcomes, forecast more accurately, and increase the success of forward-looking statements. The solutions mine big data to spot trends, risks, and patterns, and allow users to run scenarios to find the best outcomes. This helps businesses act proactively to solve problems and seize opportunities.
Simplify your analytics strategy by Jayesh Dosi
This is with reference to ppt submission during Data Analytics Internship under the guidance of Prof. Sameer Mathur
A leader's guide to data analytics
This document discusses the importance for business leaders to have a working knowledge of data analytics. While data science has become essential, many leaders are hesitant to get involved in the technical aspects. The key is for leaders to be able to distinguish good data from bad and understand where analytics can provide value. Leaders should view analytics as integrated into business plans and start by defining the problem. They also need to understand how the data was generated and use their domain knowledge to evaluate results. Managers cannot rely solely on data scientists and ultimately must choose which problems to solve and how to incorporate analytics.
Data is worthless if you don’t commuincate it
A manager should analyze projects and data instead of just waiting for results, as analysis provides probable predictions and allows issues to be addressed proactively. Good quantitative data analysis helps understand the business problem, measure impact, identify available data, form initial hypotheses, and determine solutions and their impact, taking the business to the next level. Analysis is more dependable than relying solely on results or miracles. A smart manager is also an analyst.
Simplify your analytics strategy
This document discusses how data analytics can help solve complex business problems. It recommends accelerating data access to gain insights more quickly. With more data comes more opportunities to drive business value through discovering more patterns. There are many elements to consider in analytics strategies like business goals, technologies, and data sources which are always changing. The right decisions made using predictive analytics can lead a company to success.
Simplify analytics
In this complicated world of data analytics, follow these steps to have a simple solution to complex problems.
Improve Your Law Firm Performance With These Smart Tips
This document provides seven tips to improve law firm performance and efficiency without affecting quality work. The tips are to 1) map out work processes and information flow, 2) eliminate unnecessary steps by outsourcing tasks, 3) balance client handling with other work responsibilities, 4) implement robust knowledge management practices to share information and make work easier, 5) focus by only doing core tasks and hiring others for other categories of work, 6) outsource legal work to reduce costs and ease scheduling, and 7) define service levels for clients. Adopting these tactics can help firms finish tasks faster with less effort and improve overall efficiency.
A Leader’s Guide to Data Analytics
This presentation analyzes the article by Florian Zettelmeyer
on "A working knowledge of data science can help you lead with confidence."
E-Commerce
This video is presented by USEP's BSCS student Alvin Mark U. Cabeliño under Mr. ND Arquillano as a partial fulfilment for Elective 4 -E-Commerce It talks about Change management.
"A Leader’s Guide to Data Analytics"
This document discusses the importance for business leaders to have a working knowledge of data science and analytics. It argues that the most important skills in analytics are thinking skills, not technical skills, and that leaders need to understand data generation processes and use their domain expertise when analyzing data. The document provides steps for leaders to develop their understanding, including ensuring analytics starts by addressing specific business problems, understanding how data is generated, using their own knowledge to interpret results, and creating an organizational culture where data and results are questioned.
StartupMetrics - Summary Deck
This document describes the services offered by StartupMetrics to help startups with their data and business needs. StartupMetrics understands the challenges startups face with limited resources and offers solutions for product development, data management, and strategic insights. Their approach involves learning about the startup's business, identifying key metrics for success, and implementing scalable and affordable solutions.
The Three Pitfalls of Business Expansion – and how you can avoid them
Is your business information helping or hindering you? Our latest masterclass series shows you how to avoid the pitfalls.Spot the three pitfalls of business expansion and learn how to avoid them. Our new masterclass series has the details.
Teknasoft IT Services & Consulting Presentation
This document provides information about Teknasoft, a company that provides intelligent technology solutions. It discusses how computers and humans are powerful when combined and outlines Teknasoft's main areas of expertise, including consulting, custom application development, architecture design, performance optimization, and system integration. The document encourages readers to learn more about Teknasoft's solutions and services on their website.
Method for Securing IT Funding
IT funding is being squeezed. Yet IT Managers are being asked to do more with less. How can you meet your goals in this predicament?
Here is a three step approach that will help you achieve the sweet spot of lower costs with higher business impact.
You will:
- Improve IT’s value to the business
- Increase realization of return on investment
- Improve delivery efficiency
- Improve control of IT costs
- Reduce risk
- Improve user satisfaction
�
Analysis of "A leader's guide to data analytics - Florian Zettelmeyer"
Florian Zettelmeyer discusses the importance of analytical thinking skills over technical skills. He provides four guidelines for effective analytics: 1) Start with understanding the business problem; 2) Understand how the data was generated; 3) Leverage domain expertise to interpret results; and 4) Have a culture where established ideas can be questioned based on data, not just assumptions. The document also discusses the relevance of these concepts for Indian managers, noting analytics can help decision-making if managers have some data science knowledge to ensure quality and prevent faulty assumptions.
Simplifying analytics
The document discusses simplifying analytics by focusing on important data and how to use it to improve business outcomes, rather than complex analytics. It recommends building an environment to accelerate data processing for faster insights and decisions. Companies should leverage business intelligence, data visualization, and data discovery tools, as well as machine learning models, to automate analysis and gain insights from large data sets. Different problems may require hypothesis-based or discovery-based approaches. The key is to identify important data, delegate analysis to tools when possible, visualize data for better understanding, uncover hidden patterns, and customize the approach to the specific problem and data.
A leader's guide to data analysis
This document provides guidance for managers on effectively using data analytics. It emphasizes that managers should focus on problem solving skills rather than technical skills. The key points are:
1) Managers should link the business problem to the appropriate analytic techniques, and not rely solely on data scientists.
2) Managers need to understand how the data was generated and selected to ensure it is relevant to addressing the problem. Bad data selection can undermine quality analysis.
3) Managers should use their domain expertise to evaluate analytic results and identify plausible business explanations for findings. Analytics alone is not a substitute for understanding the business context.
Big data
Big Data provides a huge amount of structured and unstructured data that requires critical thinking to interpret and ensure the right insights are drawn. A manager should focus on using all available data science tools and technologies like IBM Watson to interlink problems, save time, and harness big data to predict outcomes and resolve past issues. However, a manager must consider multiple perspectives and possibilities to avoid drawing precisely wrong conclusions from an overreliance on any single metric.
Intro to Artemis
The Artemis Data Platform aggregates health benefits data from multiple sources into a single system. It analyzes the data to identify problems, suggest solutions, and measure outcomes. The platform automatically monitors the data to find areas of overspending, risk, and cost spikes. It also isolates the impact of employer programs and policy changes. Artemis provides customizable dashboards and support to help users maximize insights from the data.
What people analytics can’t capture
Big data provides opportunities but also challenges. While large datasets can provide insights, the questions asked and metrics used may not capture what truly drives organizational success. Managers focused only on short-term targets may undermine employee well-being. Overall, big data analysis requires understanding limitations and avoiding overreliance on numbers, as random correlations may appear meaningful by chance alone.
New Technology is a Pain!
Learning a new piece of technology can be frustrating and time consuming. What if you could learn all the key features of your device in 5 Minutes? We have the solution. Fivel.
Using data analytics midlands think tank 2013
The document discusses how data analytics can provide business clarity and better decisions through access to current, relevant, and actionable information, highlighting that businesses see a €10.66 return for every €1 spent on analytics and can gain a 67% competitive advantage; it also examines how the evolution of technology over time has made analytics solutions cheaper, more powerful, and easier to use than in the past.
Time Management
The Streamlined Office can establish and implement better time management strategies for your business or home office.
Ergonomics
The Streamlined Office helps small businesses improve their workflow and remove constraints to growth through implementing efficient processes. They understand each client's unique needs and create custom solutions using process analysis, problem-solving expertise, and practical organizational strategies. Their on-site or virtual services then help clients implement the solutions using technology as needed.
The true cost of an invoice solution
What if you could change the way your company handles invoices with one simple decision? Cloud automation is an easier way to process invoices that can have a big impact on your business.
How to sustain analytics capabilities in an organization
This presentation is part of Analytics Management Series that is designed to suggest paths towards effective decision-making in order to help sustain and grow analytical capabilities. It features thought leaders who actively manage complex analytical environments who share their best practices. How to sustain analytics capabilities in an organization features Daymond Ling, Senior Director, Modelling & Analytics (CIBC) on how organizations who want better performance and less problems can use data to their advantage.
What are we missing out in standard Analytics Practice? - By Novoniel Deb
We believe in Analytics but why don't we get complete analytics? This article gives a simple overview on why and how of this.
View my other documents in my profile.
More Related Content
What's hot
Simplify analytics
In this complicated world of data analytics, follow these steps to have a simple solution to complex problems.
Improve Your Law Firm Performance With These Smart Tips
This document provides seven tips to improve law firm performance and efficiency without affecting quality work. The tips are to 1) map out work processes and information flow, 2) eliminate unnecessary steps by outsourcing tasks, 3) balance client handling with other work responsibilities, 4) implement robust knowledge management practices to share information and make work easier, 5) focus by only doing core tasks and hiring others for other categories of work, 6) outsource legal work to reduce costs and ease scheduling, and 7) define service levels for clients. Adopting these tactics can help firms finish tasks faster with less effort and improve overall efficiency.
A Leader’s Guide to Data Analytics
This presentation analyzes the article by Florian Zettelmeyer
on "A working knowledge of data science can help you lead with confidence."
E-Commerce
This video is presented by USEP's BSCS student Alvin Mark U. Cabeliño under Mr. ND Arquillano as a partial fulfilment for Elective 4 -E-Commerce It talks about Change management.
"A Leader’s Guide to Data Analytics"
This document discusses the importance for business leaders to have a working knowledge of data science and analytics. It argues that the most important skills in analytics are thinking skills, not technical skills, and that leaders need to understand data generation processes and use their domain expertise when analyzing data. The document provides steps for leaders to develop their understanding, including ensuring analytics starts by addressing specific business problems, understanding how data is generated, using their own knowledge to interpret results, and creating an organizational culture where data and results are questioned.
StartupMetrics - Summary Deck
This document describes the services offered by StartupMetrics to help startups with their data and business needs. StartupMetrics understands the challenges startups face with limited resources and offers solutions for product development, data management, and strategic insights. Their approach involves learning about the startup's business, identifying key metrics for success, and implementing scalable and affordable solutions.
The Three Pitfalls of Business Expansion – and how you can avoid them
Is your business information helping or hindering you? Our latest masterclass series shows you how to avoid the pitfalls.Spot the three pitfalls of business expansion and learn how to avoid them. Our new masterclass series has the details.
Teknasoft IT Services & Consulting Presentation
This document provides information about Teknasoft, a company that provides intelligent technology solutions. It discusses how computers and humans are powerful when combined and outlines Teknasoft's main areas of expertise, including consulting, custom application development, architecture design, performance optimization, and system integration. The document encourages readers to learn more about Teknasoft's solutions and services on their website.
Method for Securing IT Funding
IT funding is being squeezed. Yet IT Managers are being asked to do more with less. How can you meet your goals in this predicament?
Here is a three step approach that will help you achieve the sweet spot of lower costs with higher business impact.
You will:
- Improve IT’s value to the business
- Increase realization of return on investment
- Improve delivery efficiency
- Improve control of IT costs
- Reduce risk
- Improve user satisfaction
�
Analysis of "A leader's guide to data analytics - Florian Zettelmeyer"
Florian Zettelmeyer discusses the importance of analytical thinking skills over technical skills. He provides four guidelines for effective analytics: 1) Start with understanding the business problem; 2) Understand how the data was generated; 3) Leverage domain expertise to interpret results; and 4) Have a culture where established ideas can be questioned based on data, not just assumptions. The document also discusses the relevance of these concepts for Indian managers, noting analytics can help decision-making if managers have some data science knowledge to ensure quality and prevent faulty assumptions.
Simplifying analytics
The document discusses simplifying analytics by focusing on important data and how to use it to improve business outcomes, rather than complex analytics. It recommends building an environment to accelerate data processing for faster insights and decisions. Companies should leverage business intelligence, data visualization, and data discovery tools, as well as machine learning models, to automate analysis and gain insights from large data sets. Different problems may require hypothesis-based or discovery-based approaches. The key is to identify important data, delegate analysis to tools when possible, visualize data for better understanding, uncover hidden patterns, and customize the approach to the specific problem and data.
A leader's guide to data analysis
This document provides guidance for managers on effectively using data analytics. It emphasizes that managers should focus on problem solving skills rather than technical skills. The key points are:
1) Managers should link the business problem to the appropriate analytic techniques, and not rely solely on data scientists.
2) Managers need to understand how the data was generated and selected to ensure it is relevant to addressing the problem. Bad data selection can undermine quality analysis.
3) Managers should use their domain expertise to evaluate analytic results and identify plausible business explanations for findings. Analytics alone is not a substitute for understanding the business context.
Big data
Big Data provides a huge amount of structured and unstructured data that requires critical thinking to interpret and ensure the right insights are drawn. A manager should focus on using all available data science tools and technologies like IBM Watson to interlink problems, save time, and harness big data to predict outcomes and resolve past issues. However, a manager must consider multiple perspectives and possibilities to avoid drawing precisely wrong conclusions from an overreliance on any single metric.
Intro to Artemis
The Artemis Data Platform aggregates health benefits data from multiple sources into a single system. It analyzes the data to identify problems, suggest solutions, and measure outcomes. The platform automatically monitors the data to find areas of overspending, risk, and cost spikes. It also isolates the impact of employer programs and policy changes. Artemis provides customizable dashboards and support to help users maximize insights from the data.
What people analytics can’t capture
Big data provides opportunities but also challenges. While large datasets can provide insights, the questions asked and metrics used may not capture what truly drives organizational success. Managers focused only on short-term targets may undermine employee well-being. Overall, big data analysis requires understanding limitations and avoiding overreliance on numbers, as random correlations may appear meaningful by chance alone.
New Technology is a Pain!
Learning a new piece of technology can be frustrating and time consuming. What if you could learn all the key features of your device in 5 Minutes? We have the solution. Fivel.
Using data analytics midlands think tank 2013
The document discusses how data analytics can provide business clarity and better decisions through access to current, relevant, and actionable information, highlighting that businesses see a €10.66 return for every €1 spent on analytics and can gain a 67% competitive advantage; it also examines how the evolution of technology over time has made analytics solutions cheaper, more powerful, and easier to use than in the past.
Time Management
The Streamlined Office can establish and implement better time management strategies for your business or home office.
Ergonomics
The Streamlined Office helps small businesses improve their workflow and remove constraints to growth through implementing efficient processes. They understand each client's unique needs and create custom solutions using process analysis, problem-solving expertise, and practical organizational strategies. Their on-site or virtual services then help clients implement the solutions using technology as needed.
The true cost of an invoice solution
What if you could change the way your company handles invoices with one simple decision? Cloud automation is an easier way to process invoices that can have a big impact on your business.
What's hot (20)
Improve Your Law Firm Performance With These Smart Tips
Improve Your Law Firm Performance With These Smart Tips
The Three Pitfalls of Business Expansion – and how you can avoid them
The Three Pitfalls of Business Expansion – and how you can avoid them
Analysis of "A leader's guide to data analytics - Florian Zettelmeyer"
Analysis of "A leader's guide to data analytics - Florian Zettelmeyer"
Similar to Analytics for Startups
How to sustain analytics capabilities in an organization
This presentation is part of Analytics Management Series that is designed to suggest paths towards effective decision-making in order to help sustain and grow analytical capabilities. It features thought leaders who actively manage complex analytical environments who share their best practices. How to sustain analytics capabilities in an organization features Daymond Ling, Senior Director, Modelling & Analytics (CIBC) on how organizations who want better performance and less problems can use data to their advantage.
What are we missing out in standard Analytics Practice? - By Novoniel Deb
We believe in Analytics but why don't we get complete analytics? This article gives a simple overview on why and how of this.
View my other documents in my profile.
Grow your analytics maturity
The document discusses gaining analytics maturity to gain a competitive advantage. It outlines 7 steps in the analytics maturity journey: measure, diagnose, predict and optimize, operationalize, automate, transform. Each step provides greater insights and abilities like visualizing data, discovering root causes, creating predictive models, empowering all users, taking automated actions, and embedding analytics in the organizational culture. Mastering these steps takes an organization from raw data to automated decisions and sustained competitive differentiation.
Business intellegence
This document discusses business intelligence (BI), including its definition as IT-enabled business decision making based on data analysis, why BI is important for making informed decisions and gaining competitive advantages, the advantages it provides organizations, key technologies that support BI like data warehousing and analytics tools, the common components of BI systems, how BI can be applied in management, stakeholders in BI systems, and an overview of data mining and the tools used.
Chapter 12,Management & Decision Support Systems,Basic Information Technology
A Management Information System (MIS) collects computerized and manual systems to provide organizational decision-makers with information about business activities. A Decision Support System (DSS) aids managers in problem-solving through queries and modeling. Presentation software allows users to create outlines and integrate media like clip art, photos and charts to control the flow of a presentation on a computer.
Chapter 12,Management and Decision Support System,Basic Information Technolog...
A Management Information System (MIS) collects computerized and manual systems to provide organizational decision-makers with information about business activities. A Decision Support System (DSS) aids managers in problem-solving through queries and modeling. Presentation software allows users to create outlines and integrate media like clip art, photos and charts to control the flow of a presentation on a computer.
IBM
- The document discusses the importance of data governance for organizations to become data-driven and overcome challenges around revenue, costs, compliance, and risks.
- It outlines six steps to implement smart data governance including understanding data flows, business processes, and the information supply chain.
- Effective data governance requires coordinating different groups like architects, stewards, IT, and business to define standards, monitor compliance, and ensure information is used to achieve organizational goals.
Dsa presentation 5
THIS PRESENTATION IS MADE BY AKANKSHI MODY, DJSCE DURING A DATA ANALYTICS INTERNSHIP UNDER PROF. SAMEER MATHUR, IIML
Information systems
This document provides an overview of the history and evolution of information systems and technology. It discusses how computers originally focused on business and defense uses before personal computers became common. Local area networks then allowed people to work together and share information. As technology advanced, larger organizations developed internal IT departments to manage systems and purchase software to coordinate business processes. Information systems are now critical to supporting business operations and management decision making through tools like databases, business process management systems, and decision support systems. When combined with changes to organization and management, information systems can provide a strategic advantage through optimization of costs and processes.
Exa Infotech PPT
This document introduces EXA Infotech, an ERP solution provider in India. It summarizes EXA's demonstration of their erPro ERP product for M&M Machine Craft. The document outlines key challenges organizations face, areas for improvement, and how EXA's ERP solution addresses these through integrated processes and real-time data access across various business functions. EXA claims their centralized ERP system provides improved accountability, faster response times, less dependency and more efficient resource management compared to unorganized manual systems.
Web analytics
What comes to your mind when you hear the word Analytics?
What exactly does it mean?
How it is that the Web Analytics is done & why use it?
What for & to what Capacity is it used?
Why MIS
People need information for entertainment, enlightenment, decision making, and problem solving. Data refers to raw facts while information involves data that has been manipulated and given meaning or context. Information systems take in data as input, process it, and produce useful information as output. Systems are made up of components that work together to achieve common goals and can be closed systems that operate independently or open systems that interface with other systems. The combination of human and computer capabilities in information systems allows for efficient processing of large amounts of data.
How to use data the right way
Important steps and frameworks to use when understanding the performance of the business through data.
Dashboards that Set Your App Apart: 5 Key Considerations for Top-Notch Produc...
This document summarizes a webinar about key considerations for creating effective product dashboards. The webinar discusses defining dashboards and differentiating them from reports. It also outlines 5 key questions to ask when building dashboards: 1) What are you monitoring and why? 2) What actions are needed for trigger states? 3) What additional info is needed for actionable insights? 4) Is response time important? 5) How portable does it need to be? The webinar emphasizes partnering with customers to understand their needs and problems dashboards can solve. It provides examples of dashboard design from different contexts and warns of potential issues like limitations and tradeoffs.
Dashboards that Set Your App Apart: 5 Key Considerations for Top-Notch Produc...
This document summarizes a webinar about key considerations for building effective product dashboards. The webinar discusses defining dashboards and differentiating them from reports. It also outlines 5 key questions to ask when building dashboards: 1) What are you monitoring and why? 2) What actions are needed for trigger states? 3) What additional info is needed for actionable insights? 4) Is response time important? 5) How portable does it need to be? The webinar emphasizes partnering with customers to understand their needs and problems dashboards can solve. It provides examples of dashboard design from different contexts and cautions about potential issues like limitations and tradeoffs.
How Data Analytics Help Business Leaders
Data analytics help business leaders by providing them with the ability to make better decisions. By understanding the data, leaders can identify trends and make decisions that will improve the bottom line.
Read more: https://continusys.com/how-data-analytics-help-business-leaders/
Mis analysis
The document provides an overview of information systems analysis and SWOT analysis. It discusses the importance of information systems analysis in identifying business requirements before technical design begins. This helps ensure projects are delivered on time and to specifications. The document also defines SWOT analysis, describing it as a tool to evaluate the strengths, weaknesses, opportunities, and threats of a project or business. SWOT analysis helps organizations set achievable goals and identify internal and external factors that could impact achieving objectives. Examples of using SWOT analysis for an MIS system are also provided.
Big data and Marketing by Edward Chenard
Big data and marketing is becoming an important tool for companies. The document discusses how big data can be used for personalization, listening to customers, and responding to better serve their needs. It outlines the key steps in the process from data collection and analysis to insights and actions. Various big data tools and techniques are mentioned to understand customer behavior and trends in order to tailor marketing and customer experiences. The challenges of translating data into insights and actions are also addressed.
#MarketingShake - Edward Chenard - Descubrí el poder del Big Data para Transf...
Big data and marketing is becoming an important tool for companies. The document discusses how big data can be used for personalization, listening to customers, and responding to better serve their needs. It outlines the key steps in the process from data collection and analysis to insights and actions. Various big data tools and techniques are mentioned to understand customer behavior and trends in order to tailor marketing and customer experiences. The importance of data visualization to tell the story of patterns and create useful insights for businesses is also highlighted.
Data Analytics
This document discusses different types of data analytics including web, mobile, retail, social media, and unstructured analytics. It defines business analytics as the integration of disparate internal and external data sources to answer forward-looking business questions tied to key objectives. Big data comes from various sources like web behavior and social media, while little data refers to any data not considered big data. Successful analytics requires addressing business challenges, having a strong data foundation, implementing solutions with goals in mind, generating insights, measuring results, sharing knowledge, and innovating approaches. The future of analytics involves every company having a data strategy and using tools to augment internal data. Predictive analytics tells what will happen, while prescriptive analytics tells how to make it
Similar to Analytics for Startups (20)
How to sustain analytics capabilities in an organization
How to sustain analytics capabilities in an organization
What are we missing out in standard Analytics Practice? - By Novoniel Deb
What are we missing out in standard Analytics Practice? - By Novoniel Deb
Chapter 12,Management & Decision Support Systems,Basic Information Technology
Chapter 12,Management & Decision Support Systems,Basic Information Technology
Chapter 12,Management and Decision Support System,Basic Information Technolog...
Chapter 12,Management and Decision Support System,Basic Information Technolog...
Dashboards that Set Your App Apart: 5 Key Considerations for Top-Notch Produc...
Dashboards that Set Your App Apart: 5 Key Considerations for Top-Notch Produc...
Dashboards that Set Your App Apart: 5 Key Considerations for Top-Notch Produc...
Dashboards that Set Your App Apart: 5 Key Considerations for Top-Notch Produc...
#MarketingShake - Edward Chenard - Descubrí el poder del Big Data para Transf...
#MarketingShake - Edward Chenard - Descubrí el poder del Big Data para Transf...
More from IIMBNSRCEL
Payments Regulations
The document discusses India's payment systems, instruments, and regulations. It covers pre-paid payment instruments like closed, semi-closed, and open systems. Specific types of cards and transactions are explained, along with authentication requirements. Guidelines for payment aggregators, gateways, and the RBI's data localization directive are also summarized. The RBI regulates and authorizes various payment systems and requires localization of related data within India for supervision purposes.
Fin tech regulation in india jsa 14 02 2020
This document summarizes the key regulations governing various areas of fintech in India, including digital payments, digital lending, insurtech, portfolio management, and cryptocurrencies. For digital payments, the key regulators are the Reserve Bank of India, which oversees entities like prepaid payment issuers, card networks, and UPI platforms. Digital lending by non-bank entities is regulated by RBI through directions for non-banking financial companies and peer-to-peer lending. Insurtech is governed by IRDAI regulations on e-commerce and data security. Portfolio managers and investment advisers are regulated by SEBI through various registration and conduct requirements. Cryptocurrencies currently have no clear regulations in India, though RBI
Open Source For Startup
Zerodha is India's largest stock broker with over 2 million clients and $3 billion in daily trading turnover. It has achieved tremendous scale with only 30 employees in its tech team by building its entire technology stack using open source software from the start. This has given Zerodha flexibility, avoided vendor lock-ins, and significantly reduced costs compared to proprietary software, helping it achieve profitability with no external funding or marketing. While open source allows for faster development, companies must consider all trade-offs like capabilities, quality, future costs, and inertia when choosing technologies.
The marketing stack
This document discusses free marketing tools that startups can use given their constrained resources. It outlines free tools for SEO, social media, design, and email marketing that startups should try. These include tools like SEMRush, Crowdfire, Biteable, and Mailchimp. The document emphasizes the importance of measuring marketing efforts for survival and demand generation as the biggest startup marketing challenges are lack of marketing plan, putting inexperienced people in charge, and never measuring results.
Email marketing
This document provides an overview of key aspects of email marketing. It discusses goals such as increasing engagement and generating leads. It outlines important metrics to track like open and click rates as well as conversions. Key components of effective emails are covered like using the recipient's name, short and personalized copy, call-to-action buttons, and responsive design. The document also discusses segmentation strategies, compliance considerations, and timing of email sends.
Buyer persona
This document discusses buyer personas and provides examples of how to create them. It suggests buyer personas are important for marketing, messaging, pricing, sales, and UI/UX. Sample buyer personas are created, including demographics, work details, patterns and insights, typical days, apps and reading habits, skills and hobbies. The document concludes buyer personas are crucial for startup marketing and sales.
Storytelling For Startups
The document discusses the importance and power of storytelling. Effective stories focus on turning points in a person's life, highlight human struggles and conflicts, and show how those struggles led to positive change. Well-designed stories can influence investors, strangers, media, hiring managers, customers, and more. The best stories are ones that are accepted and carried with pride.
Your internet-exposure-that-makes-you-vulnerable
The document discusses how attackers discover information about targets by exploring their online exposure and attack surfaces. It describes the various techniques attackers use to identify domain information, subdomains, email addresses, breached credentials, applications, and technologies. These discovery methods are leveraged in real-world breaches involving invoice fraud, unsecured cloud storage, subdomain takeovers, and software vulnerabilities. The document recommends ways for organizations to establish trust and improve security by ensuring assets and dependencies are regularly patched, enforcing strong access controls, monitoring for breaches, and conducting security assessments.
How to-become-secure-and-stay-secure
The document provides tips on how startups can become and stay secure online without breaking the bank. It recommends securing laptops by using licensed software, installing antivirus, and taking encrypted backups. It also suggests securing domains and email by using reputable providers and enabling two-factor authentication. The document advises securing sensitive data by using secure file sharing and access controls. It emphasizes the importance of securing finances by using a secure laptop and network and enabling two-factor authentication for transactions. Finally, it outlines creating an inventory of assets, doing secure communications, implementing access governance, and thinking in terms of service security.
Building big data & analytics startup
Fragma Data Systems is a big data and advanced analytics service provider that has experienced 120% year-over-year growth, operating in India and the Middle East with 65+ data engineers and scientists serving 45+ enterprise and SME clients. The presentation discusses key pointers for building an analytics startup, including the importance of team, partner ecosystem, infrastructure and technology stack, and service delivery and ownership models.
Data driven @startups
This document discusses how data and analytics are essential for startups to measure progress towards business goals. It outlines the different stages a startup goes through from early to growth and the focus on people, metrics, and technology at each stage. Key lessons discussed are focusing on metrics that drive outcomes, collecting all data while keeping systems simple, and giving data a seat at the table by involving analysts and having self-serve dashboards. The document advocates for using frameworks like AARRR and the impact matrix to guide data-driven decisions.
ESOPs for startups
This document discusses stock-based compensation plans, including employee stock option plans, restricted stock units, stock appreciation rights, and employee stock purchase plans. It covers the lifecycle of these plans from grant to vesting to exercise and sale. Key aspects addressed include determining coverage and number of shares to grant, setting the grant price, vesting periods and conditions, liquidity options upon exercise, and accounting and regulatory requirements. The goal is to design and implement stock-based plans that attract and retain talent while meeting compliance standards.
Valuations For Startups
This document provides an overview of angel investments, including defining angels and their typical investment amounts ranging from 30 lakh to 6 crore INR. It discusses factors angels consider like startup stage, team experience and traction. Terminologies covered include pre-money/post-money valuation, stock option pools, liquidation preference. Valuation methodologies like scorecard valuation and P/E ratios are explained. Key issues for angels are expected dilution, legal protection, and regulatory barriers in India like CASS and applicable tax sections.
Valuations For Startups
1) After building a product, companies should focus on a specific customer segment that has a specific pain point the product can address.
2) Companies should validate that customers feel their problem is urgent and are willing to budget to solve it, rather than facing high inertia to value.
3) To scale, companies need to create a repeatable playbook for consistently finding, converting, and retaining customers through sales and marketing.
Iim vizag v1
Vivek Khandelwal shares lessons learned over 3 years in sales and marketing. As more players enter the category, marketing adapts an "easier-faster-better" pitch and sales follows. Buyers become smarter with the same access to intelligence as service providers. The next wave is moving from traffic to building audience and community through being authentic and building trust. Summarizing the lessons, buyers can no longer be outsmarted, sales now extends marketing, and telling your story to build your brand provides strong differentiation.
Laying the foundation of startup marketing
1) Marketing foundations for startups have changed with the rise of online marketing, content marketing, and micro-brands. Simple, clear messages that pass the "grandma test" and "Chinese whisper test" are key.
2) Remarkable products lead to remarkable marketing without needing PR. Knowing, liking, and trusting your audience through an authentic story is the best way to survive.
3) Every startup has the same underlying story structure - pursuing a "treasure island" goal propelled by a "tailwind" amidst "other players," with evidence of why they will win. Upekkha helps startups become "value SaaS" businesses that use resources more efficiently to succeed in the
Content marketing for startups iim vizag
Niraj is the founder and CEO of Hiver, a SAAS company with over 1000 customers globally and 38 employees. Hiver uses content marketing to generate brand awareness, demand, and revenue by starting small, understanding their audience, and creating high quality content tailored to different stages of the sales funnel with clear calls to action and distribution plans. The goal is to move users along the path from initial exposure to loyal customers.
Pitch presentation kaushal
The document provides guidance on how to create an effective pitch deck for funding. It outlines 11 steps to tell a compelling story: 1) Define the problem and solution, 2) Tell a story with a sample company, 3) Describe the market size and opportunity, 4) Explain how the solution solves customer problems, 5) Provide proof through testimonials and data, 6) Prove the business model and revenue streams, 7) Show the capable leadership team, 8) Address the competition, 9) Specify the financial requirements and use of funds, 10) Outline the roadmap, and 11) End with a clear call to action. The overall goal is to open the investor's mind to the vision and get them
Key thoughts for a killer investor pitch deck
The document provides guidance on creating an effective investor pitch deck, highlighting that it should tell a concise story that addresses key elements such as the problem/opportunity, product/solution, business model, and traction. It emphasizes weaving these elements into a simple, structured story that triggers emotions like empathy, fear of missing out, or desire to be part of the opportunity. The story should be told to the right investors and leave them wanting to know more about the unique founder's insights and vision.
Content marketing for startups (iim indore, hiver)
Niraj is the founder and CEO of Hiver, a SAAS product with over 1000 customers globally and 45 employees. While mostly bootstrapped, Hiver is announcing a Series A funding round next week. The document discusses using content like websites, blogs, ebooks, and webinars to spread your message, generate leads, and retain customers. It provides tips for identifying your target audience and their interests, keywords, and where they engage online to create and distribute helpful high-quality content strategically.
More from IIMBNSRCEL (20)
Content marketing for startups (iim indore, hiver)
Content marketing for startups (iim indore, hiver)
Analytics for Startups
- 1. What is The Point of Data? (impressive columns of numbers apart)
- 2. Sameer Shisodia Advisor for Product Thinking, amongst other things
- 4. Auto-mate! It’s Cool & Fun
- 6. I Can’t See Anything Visibility!!
- 7. Reports! Lots of Them!!!
- 9. Dash-Over-board? Smartest, Deepest Analysis Cutting Edge Tech All The Data Data For All Super Optimize Every Detail Impact Everything
- 12. Outcomes
- 13. Simplify & Sharpen Focus
- 14. Dashboards. But Start Small.
- 16. Data Mastered = Better Flight!
- 17. In summary Visibility - Automate processes across the org and make data visible. Keep adding. Derivative Data - Find the simple connections and stats, bring attention to the important ones. LOTS of low hanging fruits here. Keep adding, bundling for outcomes that matter. Insights & Actions – Insights that help strategize, and then being able to suggest and help with tactical actions, are the holy grail. Keep digging deeper.