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Pros & Cons of a Data Warehouse

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A data warehouse is an enterprise system used for business intelligence analysis and reporting of structured and semi-structured data.

With almost everything around us becoming a source of data, it’s proving to be quite a challenge for traditional data warehouses to support such fast changing and high volume data. So is data warehouse a thing of the past already?

A huge collection of data from various sources is known as a data warehouse. The data warehouse was initially created to store information of an organization. This information refers to the data that is about an organization’s sales, purchase, customers, employees, etc. The need for a data warehouse emerged as storing and retrieving this data became a tedious task.

What Are the Pros of a Data Warehouse?

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A data warehouse has various exclusive features. Four of the most outstanding features of data warehouses are:

1. Structured Information Stored

Information that is stored in a structured manner. This means that the data stored here is divided according to their sources and stored in their respective data marts. If there is data that has to be added to sales, that information will go in the sales data mart that has been created in the data warehouse. There is no cluttered input of data in a data warehouse.

2. Integrated Data

Data integration is one of the prime features of data warehouses. Integrated storage of data means that data from multiple sources is stored together in a data warehouse.

3. Non-Volatile 

Data that is being stored in a data warehouse is non-volatile, as information stored in a data warehouse cannot be edited. Once the information has been inserted into a data warehouse, it can only be updated or deleted altogether.

4. Time-Variant 

Information that is stored in a data warehouse cannot be edited, and hence it can be stored inside a data warehouse for a long period of time. If an organization wants to assess why their sales have dropped over the last one year, while they had uncountable sales 2 years ago, they can refer to the strategy they used back then by referring to the information that is stored in their databases.

What Are the Cons of a Data Warehouse?

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With time, organizations have realized data warehouse’s limitations. Here are three such drawbacks:

1. Data is Rigid 

Since information is stored in a specified file format, for the data to be used in a data warehouse, it has to be changed to that file format. This has led to the shortcoming that data warehouses cannot store data with mixed file formats.

2. High Maintenance Cost 

Whenever a small organization gets a large IT project, they require high maintenance systems. These high maintenance systems require financial resources. This leads an organization into spending more of their resources rather than making benefits.

3. Inability to Store Huge Amount of Data 

Its inability to store huge chunks of data is considered to be one of the major drawbacks of data warehousing. This led to big data not being supported by data warehouses.

How Can We Move Ahead of The Limitations of Data Warehousing?

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The inability of data warehousing to store information with different file formats and huge chunks of data led to the innovation of Uniform Information Architecture. Using this kind of architecture, organizations can store information of various file formats, and data is volatile. This kind of database can also store information that was previously being stored in a data warehouse.

There are various organizations that are still using data warehouses, however, those who are dealing with big data at their hands have moved on to a better version. It would not be wrong to conclude that data warehouses can never be a thing of the past as newer techniques for data storage will form the basis of what data warehouses were initially brought in for.



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TECHNOLOGY

How Sports Organizations Are Using AR, VR and AI to Bring Fans to The Game

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How Sports Organizations Are Using AR, VR and AI to Bring Fans to The Game

AR, VR, and AI in sports are changing how fans experience and engage with their favorite games.

That’s why various organizations in the sports industry are leveraging these technologies to provide more personalized and immersive digital experiences.

How do you get a sports fan’s attention when there are so many other entertainment options? By using emerging technologies to create unforgettable experiences for them! Innovative organizations in the sports industry are integrating AR, VR and AI in sports marketing and fan engagement strategies. Read on to discover how these innovative technologies are being leveraged to enhance the game-day experience for sports fans.  

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AUGMENTED REALITY IN SPORTS

AR is computer-generated imagery (CGI) that superimposes digitally created visuals onto real-world environments. Common examples of AR include heads-up displays in cars, navigation apps and weather forecasts. AR has been around for decades, but only recently has it become widely available to consumers through mobile devices. One of the best ways sports organizations can use AR is to bring historical moments to life. This can help fans connect to the past in new ways, increase brand affinity and encourage them to visit stadiums to see these experiences in person. INDE has done just that, creating an augmented reality experience that lets fans meet their favorite players at the NFL Draft.

VIRTUAL REALITY IN SPORTS

VR is a computer-generated simulation of an artificial environment that lets you interact with that environment. You experience VR by wearing a headset that transports you to a computer-generated environment and lets you see, hear, smell, taste, and touch it as if you were actually there. VR can be especially impactful for sports because it lets fans experience something they would normally not be able to do. Fans can feel what it’s like to be a quarterback on the field, a skier in a race, a trapeze artist, or any other scenario they’d like. The VR experience is fully immersive, and the user is able to interact with the content using hand-held controllers. This enables users to move around and explore their virtual environment as if they were actually present in it.

ARTIFICIAL INTELLIGENCE IN SPORTS

Artificial intelligence is machine intelligence implemented in software or hardware and designed to complete tasks that humans usually do. AI tools can manage large amounts of data, identify patterns and make predictions based on that data. AI is already influencing all aspects of sports, from fan experience to talent management. Organizations are using AI to power better digital experiences for fans. They’re also using it to collect and analyze data about fan behavior and preferences, which helps organizers better understand what their customers want. AI is also changing the game on the field, with organizations using it to make better decisions in real time, improve training and manage player health. Much of this AI is powered by machine learning, which is a type of AI that uses data to train computer systems to learn without being programmed. Machine learning is the reason why AI is able to evolve and get better over time — it allows AI systems to adjust and improve based on new data.

MERGING THE REAL AND VIRTUAL

VR and AR are both incredible technologies that offer unique benefits. VR, for example, is an immersive experience that allows you to fully imagine and explore another virtual space. AR, on the other hand, is a technology that allows you to see and interact with the real world while also being able to see digital content superimposed on top of it. VR and AR are both rapidly evolving and can have a significant impact on sports marketing. By using both technologies, brands and sporting organizations can create experiences that bridge the real and virtual. This can help sports marketers create more engaging experiences that truly immerse their customers in the game.

Technologies like AR, VR and AI in sports are making it possible for fans to enjoy their favorite games in entirely new ways. AR, for example, can help sports lovers experience historical moments, VR lets them immerse themselves in the game, and AI brings them more personalized and immersive digital experiences. The best part is that sports fans can also use these technologies to interact with one another and feel even more connected. 

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The Dark Side of Wearable Technology

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The Dark Side of Wearable Technology

Wearable technology, such as smartwatches, fitness trackers, and other devices, has become increasingly popular in recent years.

These devices can provide a wealth of information about our health and activity levels, and can even help us stay connected with our loved ones. However, there is also a dark side to wearable technology, including issues related to privacy, security, and addiction. In this article, we will explore some of the darker aspects of wearable technology and the potential risks associated with these devices.

1. Privacy Concerns

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Source: Deloitte

Wearable technology can collect and transmit a significant amount of personal data, including location, health information, and more. This data is often shared with third parties, such as app developers and advertisers, and can be used to track and target users with personalized advertising. Additionally, many wearable devices lack robust security measures, making them vulnerable to hacking and data breaches. This can put users’ personal information at risk and expose them to identity theft and other cybercrimes.

2. Security Risks

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Source: MDPI

Wearable technology can also pose security risks, both to the individual user and to organizations. For example, hackers can use wearable devices to gain access to sensitive information, such as financial data or personal contacts, and use this information for malicious purposes. Additionally, wearable technology can be used to gain unauthorized access to secure areas, such as buildings or computer systems, which can be a major concern for organizations and governments.

3. Addiction Issues

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Source: Very Well Mind

The constant connectivity and access to information provided by wearable technology can also lead to addiction. The constant notifications and the ability to check social media, emails and other apps can create a constant need to check the device, leading to addiction-like symptoms such as anxiety, insomnia and depression.

4. Health Risks

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Source: RSSB 

Wearable technology can also pose health risks, such as skin irritation and allergic reactions caused by the materials used in the device. Additionally, the constant use of wearable technology can lead to poor posture and repetitive stress injuries, such as carpal tunnel syndrome. It is important for users to be aware of these risks and to take steps to protect their health, such as taking regular breaks from using the device and practicing good ergonomics.

Conclusion

Wearable technology has the potential to be a powerful tool for improving our health, fitness, and overall well-being. However, it is important to be aware of the darker aspects of wearable technology and the potential risks associated with these devices. By understanding the privacy, security, addiction, and health risks associated with wearable technology, users can take steps to protect themselves and their personal information. Additionally, by being aware of these risks, organizations can take steps to protect their employees and customers from the potential negative effects of wearable technology.

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Data Science & Machine Learning Trends You Cannot Ignore

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Data Science & Machine Learning Trends You Cannot Ignore

Digital transformation has become the new mantra for companies to thrive in the digital age.

Data science and machine learning are two major assets in the digital transformation era.

Digital transformation has become a necessity for businesses. It is the way forward for all businesses, regardless of size and scope. However, it should be more than simply digitizing your processes. Digital transformation should be about re-imagining your business processes with cutting-edge technology and artificial intelligence like data science and machine learning. This would help eliminate manual labor and accelerate growth with collaborative technologies like chatbots, virtual assistance and augmented reality, while having a seamless user experience across all channels – online, mobile app and website – with the help of an integrated CMS that can adapt to any screen size.

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With the above thoughts in mind, let’s look at four new DSML trends you cannot ignore.

Intelligent Automation

Most digital transformation initiatives focus on creating a digital front-end, with a strong focus on customer-facing channels. While that’s obviously important, a lot of organizations forget about the back-end and the data that’s being used by their systems. This is a mistake, as intelligent automation can help bridge the gap between the front-end and the back-end systems and processes. It’s a key element that can help organizations curate data, which is then used to enrich customer experiences and create personalized marketing campaigns, among many other things. An integrated CMS with an intelligent automation system can automatically pull customer data into content, provide real-time insights about customers and their behavior, and suggest personalized content for different channels.

Augmented Reality

Augmented reality lets you digitize your business processes by visualizing information. It can help you create exciting customer experiences by enabling them to see and interact with information in their physical environment. This technology has been used for gaming and entertainment for a long time, but now businesses are leveraging it for digital transformation. With augmented reality, you can create interactive product catalogues, digital manuals and helpful visual guides to engage customers and employees.

Chatbots and Voice Recognition

Digital transformation is about more than just creating engaging customer experiences; it’s also about making sure that those experiences are accessible on any platform. Coupled with voice recognition, chatbots can be used across all customer channels, including websites and apps, to provide information, schedule appointments, and answer basic questions. A key element of digital transformation is making your business accessible to customers no matter where they are or what device they’re using.

Unified Experience Across Devices

A unified experience across devices ensures that customers experience the same content and functionality regardless of what platform they’re using. For example, let’s say a customer wants to learn more about your product. With a unified experience across devices, the customer would be able to access information about the product from their computer or mobile device. This way, if a customer is on the go and has limited screen real estate, they can still access the information they need.

 

A digital transformation is necessary for businesses to grow and thrive. However, it takes more than just digitizing processes. With the help of data science and machine learning, organizations can reimagine how they work with new technology and tools. Thereby, they can create an integrated experience across devices and channels, with a seamless flow for customers and employees.

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