Job Profile: Junior Software Engineer - Tesser Insights

Location: Bangalore and Chennai

 

Job Type: Full-time

About Tesser Insights:
Tesser Insights is a leading analytics solutions provider specializing in delivering actionable business insights to operational systems with speed and precision. Our comprehensive analytics platform is built on Microsoft Azure Cloud and leverages Microsoft Business Intelligence tools, integrated with the Tesser Self-Service Portal. Headquartered in Atlanta, Georgia, with a presence in the United States and offshore centers in Bangalore and Chennai, India, we are dedicated to empowering businesses to make data-driven decisions at the point of action.

Job Description:
We are currently seeking Freshers with a strong academic background and a passion for programming to join our team as Junior Software Engineers. In this role, you will have the opportunity to work on diverse projects and contribute to the development of innovative cloud-based applications and web-based solutions.

Responsibilities:

1. Develop, test, and maintain web and cloud-based applications using languages such as C, C#, Python, R, HTML/CSS/JavaScript, and SQL Server.
2. Collaborate with cross-functional teams to define, design, and deliver new features.
3. Contribute to code reviews and ensure adherence to best practices.
4. Troubleshoot, debug, and optimize code for performance and scalability.
5. Continuously learn and stay updated with the latest industry trends and technologies.
6. Participate in agile development processes and contribute to project planning and estimation.

Requirements:

1. A Bachelor's degree in Computer Science and Engineering, with a first-class distinction, having graduated in 2022
2. Strong foundation in programming languages such as C, C#, Python, R, and web technologies like HTML/CSS/JavaScript.
3. Familiarity with databases such as SQL Server and experience with web-based application development.
4. Good understanding of cloud-based application development, including experience with platforms like AWS, Azure, or Google Cloud.
5. Knowledge of version control systems, preferably GitHub.
6. Excellent problem-solving skills, with the ability to think critically and adapt to new technologies.
7. Strong communication and teamwork skills, with the ability to work effectively in a collaborative environment.
8. Self-motivated, with a strong desire to learn and grow professionally.

Benefits:

1. Competitive salary and benefits package, including health insurance, retirement plans, and paid time off.
2. Opportunity to work on cutting-edge technologies and contribute to innovative projects.
3. Collaborative work environment with a strong emphasis on teamwork and personal growth.
4. Exposure to diverse industries and clients, providing valuable experience and networking opportunities.
5. Regular training and development programs to enhance your skills and stay updated with the latest industry trends

Job Profile Junior Data Analyst - Tesser Insights

Location: Bangalore and Chennai

  Job Type: Full-time

About Tesser Insights:
Tesser Insights is a leading analytics solutions provider specializing in delivering actionable business insights to operational systems with speed and precision. Our comprehensive analytics platform is built on Microsoft Azure Cloud and leverages Microsoft Business Intelligence tools, integrated with the Tesser Self-Service Portal. Headquartered in Atlanta, Georgia, with a presence in the United States and offshore centers in Bangalore and Chennai, India, we are dedicated to empowering businesses to make data-driven decisions at the point of action.

Job Description:
We are currently seeking highly motivated Freshers with a strong academic background and a passion for data analysis to join our team as Junior Data Analysts. In this role, you will have the opportunity to work on diverse projects and contribute to the development of innovative analytics solutions for our clients.

Responsibilities:

1. Analyze and interpret complex data sets to identify trends, patterns, and actionable insights for clients.
2. Collaborate with cross-functional teams to define, design, and deliver data-driven solutions.
3. Develop, test, and maintain data models and visualizations using Microsoft Business Intelligence tools.
4. Contribute to the enhancement and optimization of the Tesser Self-Service Portal.
5. Ensure data quality and integrity throughout the analytics process.
6. Continuously learn and stay updated with the latest industry
7. Participate in agile development processes and contribute to project planning and estimation.

Requirements:

1. A Bachelor's degree in Computer Science, Engineering, or a related field, with a first-class distinction, having graduated in 2022 or later.
2. Strong foundation in programming languages such as Python, R, and web technologies like HTML/CSS/JavaScript.
3. Familiarity with databases such as SQL Server and experience in data manipulation and analysis.
4. Good understanding of cloud-based platforms, preferably Microsoft Azure, and experience with Microsoft Business Intelligence tools.
5. Knowledge of version control systems, preferably GitHub.
6. Excellent problem-solving skills, with the ability to analyze complex data sets and identify actionable insights.
7. Strong communication and teamwork skills, with the ability to work effectively in a collaborative environment.
8. Self-motivated, with a strong desire to learn and grow professionally in the field of data analytics.

Benefits:

1. Competitive salary and benefits package, including health insurance, retirement plans, and paid time off.
2. Opportunity to work on cutting-edge technologies and contribute to innovative data-driven projects.
3. Collaborative work environment with a strong emphasis on teamwork and personal growth.
4. Exposure to diverse industries and clients, providing valuable experience and networking opportunities.
5. Regular training and development programs to enhance your skills and stay updated with the latest industry trends in data analytics.

Lessons from the Notorious Pentium FDIV Bug: The Importance of Taking Individual Customer Issues Seriously

Lessons from the Notorious Pentium FDIV Bug

Introduction:-

The field of software development is constantly evolving, with new technologies, programming languages, and development methodologies being introduced all the time. However, one thing that remains constant is the need to ensure that software is reliable and performs as expected in the real world.

One important aspect of this is the need to accept field issues and respond with commitment. No matter how much testing is done in the development process, there will always be issues that arise in the field. When this happens, it's important to respond quickly and decisively to address the issue and minimize the impact on users.

Another key lesson is the importance of innovative and effective approaches to testing, reproducing problems, and problem-solving overall.

One example of this is the Pentium FDIV bug,  one of the most notable hardware bugs in the history of computing.  As someone who was closely connected with Intel, Microsoft, and IBM-OS2/Warp during that time, I was closely tracking how advances in CPU technology helped develop next-generation computer hardware and software development. Intel was riding a popularity wave at that time with its tagline "Intel Inside."  

However, the Pentium FDIV bug, one of the most notable hardware bugs in computing history, severely damaged their market credibility due to their initial ignorance and lack of attention to the issue raised by one customer to start with.

The Notorious Pentium FDIV bug:-

  https://en.wikipedia.org/wiki/Pentium_FDIV_bug

Discovered in 1994 by Thomas R. Nicely, a professor of mathematics at Lynchburg College, the bug affected the floating-point unit (FPU) of the early Intel Pentium processors, causing the processor to return incorrect binary floating-point results when dividing certain pairs of high-precision numbers. While the error only occurred rarely in most use cases, in certain circumstances, it could lead to significant deviations from the correct output values.

The severity of the FDIV bug was heavily debated, but Intel's initial handling of the matter was criticized by the tech community. Intel had become aware of the issue independently by June 1994 but chose not to publicly disclose any details or recall affected CPUs. The company offered to replace processors for users who could prove that they were affected, but its initial response caused pushback from a vocal minority of industry experts, causing disastrous negative press for the company.

The aftermath of the Pentium FDIV bug and subsequent recall brought about a marked increase in the use of formal verification of hardware floating-point operations across the semiconductor industry. In the development of later CPU architectures, Intel went on to use formal verification extensively. The first Intel microarchitecture to use formal verification as the primary method of validation was Nehalem, developed in 2008.

Lessons for All:-

Lessons can be drawn from the Pentium FDIV bug about innovative and effective approaches to testing and problem-solving. First, a robust and thorough testing process can help detect and prevent errors before they occur. Second, timely and transparent communication with customers can help build trust and prevent negative press. Third, being open to new methods of testing and problem-solving can help identify and address issues before they become significant problems.

The Pentium FDIV bug serves as a reminder that even the most advanced technology is prone to errors, and a commitment to accepting and responding to field issues with transparency and innovation is essential. As technology continues to advance, it is crucial to learn from past mistakes and continue to improve testing and problem-solving methods to ensure that errors are minimized and customer trust is maintained.

Tesser Insights Anthem - Variations

Lyrics Version 1  - Assisted by ChatGPT

At Tesser, we always aim high,
To stay ahead and reach for the sky,
Every day we make revisions,
And integrate new tech with precision.

Our strategy, we tweak every few months,
To keep up with the latest trends and stunts,
With continuous integration and delivery,
We strive for success with unwavering bravery.

We know that what got us here won't keep us on top,
We need to keep improving non-stop,
Embracing change and innovation,
And iterating with dedication.

By following these approaches every day,
We can lead and pave the way,
For a bright and successful future,
And shine as leaders, that is sure.

Auto generated Music Version 1 - Variation A

 

 

Auto Generated Music - Version 1 - Variation B

Lyrics - Version 2 - Assisted by ChatGPT

Verse 1:
With Tesser Insights, we lead the way
Combining features to seize the day
Data insights that drive decisions
Empowering you with precision

Chorus:
Tesser Insights, our pride and joy
A platform that will never annoy
Analytics, AI, and visualization
All in one, the perfect combination

Verse 2:
With TAI at the core, it's smart and fast
Data visualization, that's built to last
Predictive analytics, we have it all
Tesser Insights, never lets you fall

Chorus:
Tesser Insights, our pride and joy
A platform that will never annoy
Analytics, AI, and visualization
All in one, the perfect combination

Bridge:
From data management to decision-making
Tesser Insights, the tool worth taking
TAI, actionable insights at your fingertips
The key to success, the secret of our tips

Chorus:
Tesser Insights, our pride and joy
A platform that will never annoy
Analytics, AI, and visualization
All in one, the perfect combination

Outro:
With Tesser Insights, we stand tall
A game-changer for one and all
Join us in this journey to success
Tesser Insights, we're the best!

Insights into the Future of Identity and Credential Management

Blockchain technology has emerged as a disruptive force in the field of identity and credential management. With its inherent security features, blockchain can offer a decentralized, tamper-proof solution for managing digital identities and credentials. Let's explore the role of blockchain in identity and credential management, and how it can help individuals and organizations share sensitive information in a secure and transparent way.

Identity Management with Blockchain

The traditional approach to identity management involves storing personal information in a centralized database or server, which is vulnerable to hacking and data breaches. Blockchain technology offers a more secure and decentralized approach by allowing users to store their personal information in a distributed ledger that is maintained by a network of nodes.

In a blockchain-based identity management system, users can create a digital identity that is linked to a public key. This public key acts as a unique identifier for the user, and can be used to authenticate their identity when accessing digital services.

Since blockchain is a decentralized system, there is no single point of failure that can be exploited by hackers. Additionally, the distributed nature of the blockchain means that users have complete control over their personal information, and can choose to share it with others as needed.

Credential Management with Blockchain

In addition to managing digital identities, blockchain can also be used to manage credentials such as degrees, certifications, and licenses. By storing credentials on a blockchain, individuals and organizations can be sure that they are authentic and tamper-proof.

When a credential is created, it is added to the blockchain as a transaction. This transaction is then verified by the network of nodes, and once it is validated, the credential becomes a permanent and unalterable part of the blockchain.

When a user needs to share their credentials with a third party, they can do so by providing the public key associated with their digital identity. The third party can then use this public key to verify the authenticity of the credential on the blockchain.

Benefits of Blockchain-Based Identity and Credential Management

Blockchain-based identity and credential management has several advantages over traditional systems, including:

Security: Blockchain's decentralized and tamper-proof nature makes it a highly secure solution for managing sensitive information.

Transparency: Since all transactions on the blockchain are transparent and auditable, it provides a transparent and tamper-proof record of all identity and credential-related activities.

Privacy: Blockchain-based identity and credential management systems offer users complete control over their personal information, allowing them to choose what information they share and with whom.

Efficiency: Since blockchain-based systems eliminate the need for intermediaries such as identity verification services, it can significantly reduce the time and cost associated with identity and credential management.

Key Players

Here are some of the key players in the blockchain-based identity management and credential sharing space:

Civic: Civic is a blockchain-based identity verification platform that allows users to securely store and share their personal information with third-party applications. It uses biometrics and multi-factor authentication to verify users' identities and prevent fraud.

uPort: uPort is an open-source, self-sovereign identity platform built on the Ethereum blockchain. It allows users to create and manage their own digital identities and control the sharing of their personal information with third-party applications.

ShoCard: ShoCard is a blockchain-based identity verification platform that allows users to verify their identity and share their personal information with third-party applications in a secure and decentralized manner. It uses a combination of blockchain technology and biometric authentication to ensure the integrity of users' identities.

Blockstack: Blockstack is a decentralized platform for building blockchain-based applications that put users in control of their data and identity. It provides a secure, user-controlled identity system that allows users to manage their own data and share it with applications as they see fit.

Sovrin: Sovrin is an open-source, decentralized identity platform that uses blockchain technology to provide users with self-sovereign identity and credential management. It allows users to create and control their own digital identities and share their personal information with third-party applications in a secure and privacy-preserving manner.

These are just a few of the many companies and projects working to revolutionize identity management and credential sharing with blockchain technology. As the field continues to evolve, we can expect to see even more innovative solutions emerge.

Conclusion:

Blockchain technology has the potential to revolutionize the way we manage digital identities and credentials. By providing a secure, decentralized, and transparent solution for identity and credential management, blockchain can help individuals and organizations share sensitive information in a secure and efficient manner. However, as with any emerging technology, there are still several challenges that need to be addressed before blockchain-based identity and credential management can become widely adopted. These include issues related to scalability, interoperability, and user adoption. Despite these challenges, the potential benefits of blockchain-based identity and credential management are too great to ignore. As more organizations begin to explore the use of blockchain for identity and credential management, we can expect to see further innovation and development in this field in the years to come

Insights into the Future: How Blockchain, AI, and Data Analytics are Revolutionizing Digital Identity and Credentials

Blockchain technology has the potential to change the face of identity and credential management as we know it. By providing a secure, decentralized, and transparent solution for managing digital identities and credentials, blockchain can offer several benefits over traditional systems.

Identity Management: With blockchain, users can create a digital identity that is linked to a public key, offering a unique and tamper-proof identifier that can be used to authenticate their identity when accessing digital services. Additionally, the decentralized nature of blockchain eliminates the risk of a single point of failure that can be exploited by hackers.

Credential management:  By storing credentials such as degrees, certifications, and licenses on a blockchain, individuals and organizations can be sure that they are authentic and tamper-proof. When a user needs to share their credentials with a third party, they can do so by providing the public key associated with their digital identity, allowing for easy and secure verification.

The benefits of blockchain-based identity and credential management are numerous, including increased security, transparency, privacy, and efficiency. However, there are still challenges that need to be addressed, such as scalability, interoperability, and user adoption.

Role of Data Analytics and AI: By analyzing data on the blockchain, AI algorithms can identify and flag potentially fraudulent activities, helping to ensure the integrity of the system. For example, blockchain-based systems can use AI to identify patterns of suspicious behavior, such as multiple attempts to create fake identities or fraudulent credentials.

Additionally, AI can help to automate identity and credential verification processes, reducing the time and cost associated with these tasks. For example, by using AI algorithms to analyze data from multiple sources, blockchain-based systems can verify the authenticity of an individual's credentials more quickly and accurately than traditional systems.

Key Players: Key players in the blockchain-based identity and credential management space include companies such as IBM, Microsoft, and Accenture, as well as startups like Civic and SelfKey. These companies are developing innovative solutions that leverage the power of blockchain, data analytics, and AI to revolutionize the way we manage digital identities and credentials.

As organizations continue to explore the use of blockchain for identity and credential management, we can expect to see further innovation and development in this field in the years to come. With the potential to revolutionize the way we manage digital identities and credentials, blockchain technology, coupled with AI and analytics, is set to be a disruptive force in the world of identity and credential management for years to come.

Additional Reading

Tesser Insights: A Unified Self-Serve Analytics Platform: Unlocking the Power of Azure Data Connectivity

Azure Data Connectivity provides a seamless and easy way to extract data from various sources and ingest it into the Azure analytics ecosystem for further processing and analysis. This is achieved through the use of pre-built connectors that are available for a wide range of data sources, including both on-premises and cloud-based systems.

One of the biggest advantages of Azure Data Connectivity is that it enables organizations to leverage their existing investments in enterprise systems. For example, if an organization is using SAP or Oracle as its primary ERP system, Azure Data Factory can be used to connect to these systems and extract data using the pre-built connectors. This eliminates the need for custom code development, which can be time-consuming and expensive.

Azure Data Connectivity also provides a real-time data ingestion capability, which is essential for organizations that need to make data-driven decisions quickly. With Azure Data Connectivity, data can be ingested and refreshed in real-time, enabling organizations to get up-to-date insights into their business operations.

Tesser Insights is a unified self-serve analytics platform built entirely on Azure, which leverages all the above aspects of Azure Data Connectivity. With Tesser Insights, organizations can easily connect to their existing enterprise systems, extract data, and ingest it into the Azure analytics ecosystem for real-time processing and analysis. This enables organizations to make data-driven decisions quickly and efficiently, while also leveraging their existing investments in enterprise systems.

In summary, Azure Data Connectivity is a critical component of building a comprehensive data analytics platform. By leveraging pre-built connectors and real-time data ingestion capabilities, organizations can quickly and efficiently extract data from various sources and ingest it into the Azure analytics ecosystem for further processing and analysis. Tesser Insights is a great example of a unified self-serve analytics platform that leverages all the capabilities of Azure Data Connectivity to help organizations make data-driven decisions quickly and efficiently.

Tesser Insights - Visionary Architecture Leveraging Azure Functions and Copilot X and Azure Data Ecosystem

Tesser Insights is a SaaS platform designed for cloud scale and leverages Azure Functions written in C#, Python, and R to provide high performance and scalability. At its core, Tesser Insights is a big data analytics platform that enables users to gather insights from large and complex data sets. The platform is built entirely on Azure Cloud, which allows Tesser Insights to take advantage of the scalability and reliability offered by Azure.

Recently, Microsoft launched CoPilot X, a new AI-powered coding tool that can help developers write code faster and with fewer errors. While CoPilot X does not have a direct integration with Azure Functions, it can indirectly help developers working with Azure Functions by offering suggestions for code completion and error correction. This can greatly speed up the development process and improve the quality of the code.

Azure Functions is a serverless compute service provided by Microsoft that allows developers to run small pieces of code, called functions, without the need for infrastructure management. Azure Functions can be written in a variety of programming languages, including C#, Python, JavaScript, and more. The platform offers many advantages, including automatic scaling, pay-per-use pricing, and integration with other Azure services.

One of the main advantages of Azure Functions is its scalability. Because Azure Functions is a serverless service, it can automatically scale to meet demand without requiring any action from the developer. This means that applications built on Azure Functions can handle sudden spikes in traffic without any impact on performance.

Another advantage of Azure Functions is its integration with other Azure services. For example, Azure Functions can be used with Azure Event Grid to create reactive workflows that respond to events in real time. This makes it possible to build event-driven applications that can respond to changes in data or user behavior.

Tesser Insights' focus on Microsoft Azure and its analytics ecosystem, as well as its use of tools like CoPilot, is visionary and futuristic. By leveraging Azure Functions, Tesser Insights is able to provide its users with a scalable and reliable platform for big data analytics. And by taking advantage of the latest AI-powered coding tools like CoPilot, Tesser Insights is able to speed up the development process and improve the quality of its code.

In conclusion, Tesser Insights' use of Azure Functions and CoPilot X is a prime example of how the latest cloud computing and AI-powered coding tools can be leveraged for big data analytics. By taking advantage of these technologies, Tesser Insights is able to provide its users with a fast, reliable, and scalable platform for gathering insights from large and complex data sets. And as cloud computing and AI continue to evolve, we can expect to see even more innovative applications of these technologies in the field of big data analytics.

References: 
Big data architectures - Azure Architecture Center | Microsoft Learn
Serverless Functions reference architectures - Azure Example Scenarios | Microsoft Learn
Event-based cloud automation - Azure Reference Architectures | Microsoft Learn

Tesser Insights Launch Press Release

Tesser Insights, the pioneering data analytics company, is thrilled to announce the launch of their revolutionary self-serve analytics platform. This cutting-edge platform is designed to solve the long-standing challenges of data analysis that have plagued businesses for years.

Traditional methods of data analysis were often slow, expensive, and required specialized technical expertise. Tesser Insights recognized this challenge and worked tirelessly to develop a unified self-serve analytics SaaS platform that allows business users to perform data analysis, experimentation, and modeling without the need for specialized technical knowledge.

"Our mission at Tesser Insights is to empower businesses to make better-informed decisions by providing them with actionable insights," said CEO Sundar. "Our self-serve analytics platform is designed to democratize data analysis and make it accessible to business users across the organization."

Built on a cloud-based platform, Tesser Insights' solution is user-friendly and easy to use, allowing businesses to gather and analyze data from various sources, develop predictive models, and share their findings with others in the organization. The platform also provides specific recommendations for production scheduling, inventory optimization, promotion effectiveness, product assortment optimization, and sales forecasting.

By following the steps outlined in this example, Tesser Insights has helped organizations make better-informed decisions, reduce costs, improve efficiency, and increase profitability. The platform has also helped to democratize data analysis, making it accessible to business users across the organization.

Tesser Insights' self-serve analytics platform is the solution that businesses have been waiting for. It is a game-changer that will transform the way companies analyze data and make informed decisions. Get in touch with Tesser Insights today to learn more about how their platform can help your business stay ahead of the curve.

Industry Use cases:-

Tesser Insights' self-serve analytics platform is industry-agnostic and can be applied to a wide range of businesses and industries. Here are some examples of how businesses can extract insights from their data using the platform:

Retail: By analyzing sales data and customer behavior, retailers can gain insights into which products are selling well and which are not. They can optimize their inventory levels, determine the most effective promotion strategies, and personalize their marketing efforts to individual customers.

Healthcare: Healthcare providers can use the platform to analyze patient data and develop predictive models to improve patient outcomes. By analyzing data on patient history, treatment plans, and outcomes, healthcare providers can optimize their treatments, reduce costs, and improve patient satisfaction.

Manufacturing: Manufacturers can use the platform to optimize their production schedules, reduce downtime, and improve product quality. By analyzing data on equipment usage, production times, and product defects, manufacturers can optimize their processes and reduce costs.

Finance: Financial institutions can use the platform to analyze transaction data, develop predictive models to forecast financial outcomes, and manage risk. By analyzing data on market trends, customer behavior, and transaction history, financial institutions can optimize their strategies, increase revenue, and minimize risk.

Hospitality: Hotels and other hospitality businesses can use the platform to analyze guest behavior, preferences, and feedback. By analyzing data on booking patterns, guest demographics, and satisfaction levels, hospitality businesses can optimize their marketing efforts, personalize their guest experience, and improve customer loyalty.

These are just a few examples of how Tesser Insights' self-serve analytics platform can be applied to various industries. By providing businesses with actionable insights, the platform can help organizations improve efficiency, reduce costs, increase revenue, and stay ahead of the competition

Case Studies:-
1. Tesser Insights Case Study: Optimizing Organic Food Production and Distribution for a Leading Producer
2. Tesser Insights Case Study: Predictive Maintenance Optimization

Tesser Insights Case Study: Optimizing Organic Food Production and Distribution for a Leading Producer

Client: A large organic food producer and distributor with a wide variety of products and customers, including online stores, grocery stores, restaurants, and individual consumers.



Challenge: The client was facing a challenge in predicting demand for their products, resulting in stockouts and excess inventory. They had a large amount of data from sales, shipments, and production, but were struggling to extract insights from it and use it to make informed demand and supply planning decisions.

Solution:

Gathering and Analyzing Data: Tesser Insights worked with the client to gather data from various sources, including sales data from different regions, product shipment data, and production data. They performed data analysis to identify patterns and correlations in the data, using techniques such as time-series analysis, regression analysis, and machine learning.

Developing Predictive Models: Based on the insights gained from the data analysis, Tesser Insights developed predictive models to forecast demand for the client's products. The models included time-series analysis using ARIMA models, and machine learning models such as random forest, decision trees, and neural networks. Tesser Insights also developed supply planning models to optimize production and inventory levels.

Validating and Refining Models: Tesser Insights worked with the client to validate the accuracy and effectiveness of the predictive models. They tested the models against new data and compared them to other methods of analysis. Based on feedback and new data, Tesser Insights refined the models to improve their accuracy and effectiveness.

Providing Actionable Insights: After the predictive models were validated and refined, Tesser Insights provided the client with actionable insights that could be used to inform their demand and supply planning decisions. They recommended specific production schedules, identified products with high demand, and provided early warning for potential stockouts or excess inventory.

Continuously Monitoring and Updating Models: Tesser Insights continued to monitor the performance of the predictive models and updated them as needed based on new data and changing business needs. This ensured that the insights provided remained accurate and relevant over time.

Results: Using the insights provided by Tesser Insights, the client was able to optimize their production and inventory levels, reduce stockouts, and increase overall sales and profitability. They were also able to identify potential issues before they became major problems, allowing them to address them proactively.

Conclusion: Through the use of advanced analytics and predictive modeling, Tesser Insights helped the client gain insights from their data and make more informed demand and supply planning decisions. By following the steps outlined in this example, Tesser Insights was able to help their client reduce stockouts, optimize production and inventory levels, and increase sales and profitability. The key to success was the collaboration between Tesser Insights and the client, with both parties working together to gather and analyze data, develop and validate predictive models, and apply the insights gained to real-world demand and supply planning decisions. Continuous monitoring and updating of the models also ensured that the insights remained accurate and effective over time. This example highlights the value of using advanced analytics and predictive modeling to gain insights from data and make informed business decisions.

Tesser Insights - Fine Tuned User Story?

Tesser Insights, a unified self-serve analytics SaaS platform for experimentation, solving, and sharing for business users.

Challenge: Traditional methods of data analysis were often slow, expensive, and required specialized technical expertise. Tesser Insights wanted to create a self-serve analytics platform that could be used by business users without requiring specialized technical knowledge or significant investments in hardware or software.

Solution:

Building a Self-Serve Analytics Platform: Tesser Insights developed a self-serve analytics platform that allows business users to perform data analysis, experimentation, and modeling without the need for specialized technical expertise. The platform is cloud-based, which means it can be accessed from anywhere, and it has a user-friendly interface that makes it easy to use.

Gathering and Analyzing Data: The platform allows users to gather data from various sources, including databases, APIs, and spreadsheets. Users can then analyze the data using a variety of techniques, including clustering, dimensionality reduction, and anomaly detection.

Developing Predictive Models: Based on the insights gained from the data analysis, users can develop predictive models to forecast outcomes and make informed decisions. The platform includes time-series analysis using ARIMA models, and machine learning models such as random forest, decision trees, and neural networks.

Sharing and Collaborating: The platform allows users to share their analyses, experiments, and models with others in the organization, allowing for greater collaboration and knowledge-sharing. The platform also includes a library of pre-built models and experiments that users can use as a starting point for their own analyses.

Providing Actionable Insights: The platform provides users with actionable insights that can be used to inform their decisions. These insights include specific recommendations for production scheduling, inventory optimization, promotion effectiveness, product assortment optimization, and sales forecasting.

Continuously Monitoring and Updating Models: The platform continuously monitors the performance of the predictive models and updates them as needed based on new data and changing business needs. This ensures that the insights provided remain accurate and relevant over time.

Results: By providing a self-serve analytics platform that can be used by business users without requiring specialized technical expertise, Tesser Insights has helped organizations extract insights from their data quickly and efficiently. The platform has helped businesses optimize production and inventory levels, reduce stockouts, increase sales and profitability, and improve collaboration and knowledge-sharing within the organization.

Conclusion: Through the use of a self-serve analytics platform, Tesser Insights has made it possible for businesses to extract insights from their data quickly and efficiently. By following the steps outlined in this example, Tesser Insights has helped organizations make better-informed decisions, reduce costs, improve efficiency, and increase profitability. The platform has also helped to democratize data analysis, making it accessible to business users across the organization.

Tesser Insights Case Study: Predictive Maintenance Optimization

Client: A manufacturing company that produces industrial equipment for aviation industry

Challenge: The client was facing the challenge of predicting maintenance needs for their equipment, resulting in frequent breakdowns and production delays. They had a large amount of data from sensors on the equipment but were struggling to extract insights from it and use it to make informed maintenance decisions.

Solution:

Gathering and Analyzing Data: Tesser Insights worked with the client to gather data from various sensors on their equipment, including temperature, pressure, and vibration sensors. They performed data analysis to identify patterns and correlations in the data, using techniques such as clustering, dimensionality reduction, and anomaly detection.

Developing Predictive Models: Based on the insights gained from the data analysis, Tesser Insights developed predictive models to forecast maintenance needs for the equipment. The models included time-series analysis using ARIMA models, and machine learning models such as random forest, decision trees, and neural networks.

Validating and Refining Models: Tesser Insights worked with the client to validate the accuracy and effectiveness of the predictive models. They tested the models against new data and compared them to other methods of analysis. Based on feedback and new data, Tesser Insights refined the models to improve their accuracy and effectiveness.

Providing Actionable Insights: After the predictive models were validated and refined, Tesser Insights provided the client with actionable insights that could be used to inform their maintenance decisions. They recommended specific maintenance schedules, identified equipment that required immediate attention, and provided early warning for equipment failure.

Continuously Monitoring and Updating Models: Tesser Insights continued to monitor the performance of the predictive models and updated them as needed based on new data and changing business needs. This ensured that the insights provided remained accurate and relevant over time.

Results:

Using the insights provided by Tesser Insights, the client was able to optimize their maintenance schedule, reduce equipment breakdowns, and increase overall production efficiency. They were also able to identify potential issues before they become major problems, allowing them to address them proactively.

Conclusion:

Through the use of advanced analytics and predictive modeling, Tesser Insights helped client gain insights from their data and make more informed maintenance decisions. By following the steps outlined in this example, Tesser Insights was able to help their client reduce downtime, increase production efficiency

Engaging with the Future: An Exciting Evening at Dayanand Sagar's Innovation Campus with CSE Department Students and Distinguished Faculty

Date:
Wednesday, 15th March 2023
Venue:
Dayanand Sagar University Innovation Campus
Topic:
HiTech Dreams: Cracking the Code to Success in a VUCA World

Today, I had the privilege of speaking to the Computer Science Engineering (CSE) students and distinguished faculty members at Dayanand Sagar University Innovation Campus in Bangalore on "HiTech Dreams: Cracking the Code to Success in a VUCA World." The students were engaged and enthusiastic, which made the experience a memorable one.

During the session, we discussed the rapidly changing VUCA world and its impact on the tech industry. I highlighted the importance of agility, adaptability, and innovation in navigating the VUCA world, and the skills and knowledge needed to thrive in the ever-evolving tech landscape. I also stressed the value of continued learning and professional development to stay competitive in the job market.

Following the session, I had the opportunity to interact with distinguished faculty members, including Dr. M Shahina Parveen, the Chairperson of the CSE department, Professor Baskar Venugopalan, and others, such as Pramod and Ravi. We discussed potential joint R&D projects and areas for industry and academic collaboration. The exchange of ideas was insightful, and the faculty members' interest in discussing collaboration on common interests was impressive.

Overall, it was an enriching experience to connect with the CSE students and distinguished faculty members at Dayanand Sagar University Innovation Campus in Bangalore, and I am glad to have shared my insights and discussed collaboration opportunities.

 Click to view the presentation used

From Vision to Victory: The Tesser Insights Story of Revolutionizing Self-Service Insights and Embracing AI for a Data-Driven Future

Once upon a time, in large corporations, the IT department was responsible for providing data and insights to the business. However, the process was costly, time-consuming, and required complex tools integration and deployment. The business users were frustrated with the slow turnaround times and limited insights they were receiving.

One day, a team of professionals came together to brainstorm a solution to this problem. They explored the needs of the business users and the capabilities of IT. They realized that the traditional approach of relying solely on IT was not sustainable.

After a few hours of discussion, they came up with this idea - what if the business users were able to self-serve insights from a single pane of glass? This would eliminate the need for complex tools integration and deployment, reduce costs and turnaround times, and provide the business users with the flexibility and control they needed.

They wanted to create a solution that was not only effective but also futuristic and exciting and the first thing they wanted to is to name the solution that is representative of their vision to provide futuristic insights to the business community with agility at the speed of light.

One of the team members came up with the idea of Tessering - a concept borrowed from the science fiction novel "A Wrinkle in Time" by Madeleine L'Engle. Tessering referred to the act of traveling through space and time by bending the fabric of space. The team felt that this name perfectly captured their vision of providing complex insights in a futuristic and innovative way.

Another one said, Tessering could also be used to describe the process of visualizing and manipulating hypercubes, also known as tesseracts. (Reference 1) Hypercubes are mathematical objects that extend the concept of a cube into higher dimensions, providing a fascinating window into the world of higher-dimensional geometry. In this blog post, we will explore the concept of tessering, and how it can be used to visualize and understand higher-dimensional space.