Originally posted on February 25, 2025 @ 11:31 am

Many individuals and businesses rely on legacy system (outdated software) that may not support new technologies effectively, thereby creating unredeemable limitations.

If you want to randomly ask why the use of outdated software, experts have concluded that individuals and business CEOs are either refraining from the cost implication, the technological trainings required, migration of data that could be time consuming and the risk of loss, thereby impacting negatively on such business.

But why are new technologies important and not keep an outdated software? While legacy systems still function, they tend to hinder growth and innovation.

So, when new technologies are introduced, overall security is enhanced, efficiency is in place and adaptability is possible ensuring a long-term business success.

However, EIYBASE Solutions as an IT-based Solutions that provide answers through our published articles created as post to challenges faced by developers and users or business CEOs such as Today’s Topic “Legacy System Challenges and Two Best Way-Out according to Software Expert”.

And beyond today’s topic, we have also provided solutions/guides to some challenges/problems, and difficulties encountered in;

1. Software designs, deployment, upgrades and trainings to acquire its skills
2. Database designs and management for both developers and end-users
3. Computer Networking
4. Digitalized Audio Sound Installation/Maintenance and Services
5. Music Production and
6. Suspend Ceilings innovations.

Kindly visit our blog page  to find or research more on the above topics/categories

Introduction to Legacy Systems and challenges

A legacy system can be said to be any outdated hardware, software, or technology infrastructure that is still used by individuals or businesses despite the invention of recent technologies in the digital age.

In today’s business world, the kind of software we deploy largely determine how productive or not a business become.

It is on this note that critical or careful consideration is prioritized for efficiency, productivity, growth in business just to mention a few

But, many individual/business CEO have in one way or another ignore basic element functions before picking a business software

A software expert once said, you ought to carefully evaluate software for your individual or business needs, and its scalability/usability are its key focus.

And further conduct trial, check out its user reviews and finally consider its cost, functions and protection against hackers.

3 most popular examples of legacy systems include:

1. Old Mainframe Applications usually COBOL and are banking systems APP
2. First categories of OS such like Windows XP, Unix-based servers, Vista
3. Enterprise Resource Planning (ERP) Systems that are no longer supported

Challenges includes;

1. Shortfall of skill programmers that still use old programming languages which is adaptable with legacy systems
2. As a result of its unpatched software, there is high level risk to cyber attacks
3. It lacks the ability to handle growing business due to its slow performance in processing
4. There is high cost of migration and modernisation of Legacy systems
5. Legacy system incur high cost in maintenance as its outdated software and infrastructure are difficult to get.

The birth of Software APP for as a business need

 Although, the origin of software programs for businesses globally was first initiated in 1950s by J. Lyons & Co. (A British tea company) that was mainly used for payroll and inventory management because they were frustrated with the manual processing from discoveries listed below;

1. Lack efficiency – it required manpower to deliver task and this is time consuming.
2. Cost effective – It allows increase in manpower, more cost was incurred
3. Unreliable output – human error was present when task was delivered
4. Lack of communication – no technology at that time, thereby created vacuum in workflow
5. Prone to attacks – restricting of unauthorized users to data was impossible
6. Complexity in large scales – they could not determine how well and soon business needs can grow
7. Competition – since there were no technology, business owners or individuals didn’t think of innovation to strife better in the labor market.

The Uniqueness of New Technologies to Business Breakthrough

 We have briefly explained above why new technologies are important when making the choice of software to boost the overall performance of that business.

Moreover, not so many end users consider incorporating intuitive design elements, such as drag-and-drop functionality or customizable dashboards.

Unknown to users that this can lead to a more engaged workforce and reduces the learning curve, ultimately ensuring greater productivity and user satisfaction. Just think of this!

You can further make a research on Tomasz Bąk of the best 10 examples of Business Software to boost your business processes, operations and customer relationships.

The 2 Most Neglected Functions in Selecting Business Software

1. Scalability of business software – What is it about?

This is when the performance of a software is not compromised and yet having the capacity to handle a growing amount of work, an ability to accommodate user’s and data storage expansion, transaction growth. e.g. cloud-based systems that permits easy upgrades

2. Usability of a software – What you should know

It shows how well an end-user can deliver any giving task using the software. When it is not friendly, it can lead to inefficiency both for the task and the user of the software.

Thus, a user with little or no knowledge on coding must consider a graphical front-end user interface. e.g. a software with a simple intuitive user interface (SI-UI)

Certainly, after knowing these, further explore solutions by researching and comparing software options.

Now, let me show you the two (2) best approach when software end-users ignore an important area on scalability and usability issues in deploying new business technology software if you are a victim.

2 Best Solutions in Making the Right Choice Software to Boost Business Growth

1. Pick a Scalable Solutions: One of the most effective strategies is opting for cloud-based software solutions.

These solutions provide the necessary flexibility and scalability that traditional on-premises software may lack.

Is your business an e-commerce company that might utilize a cloud-based inventory management system?

And want it to expand its capacities as the product range increases or when seasonal demand spikes.

 Benefits – The cloud infrastructure allows the business to adjust resources dynamically without incurring significant capital expenses or Service interruptions, thus ensuring smooth scaling in-line with business growth.

2. Explore User-Centric Design: Prioritizing user experience through user-centric design is a critical factor in enhancing usability.

A financial services firm might involve actual users in the prototype phase of a new CRM system.

By conducting user testing sessions where employees can provide feedback on the interface; from navigation to workflows.

Finally, these two best approach implementations can significantly impact the successful adoption of new business technology.

Originally posted on December 7, 2024 @ 6:59 pm

An Overview Impact 

Integrating cloud data warehousing with business intelligence can result in improved decision-making, increased operational efficiency, better understanding of customer behaviour, and enhanced competitive advantage.

This is why we are not only building on the foundational understanding of data warehousing as caption in our previous article (Data warehousing wonders: a leverage for business value in 2024) but also exploring the cutting-edge advancements and practical applications of its cloud-based solutions, making it highly relevant for businesses looking to maximize their data-driven decision-making capabilities in 2025.

What is Cloud Data Warehouse?

Databases hosted on the cloud is referred to as cloud data warehouse.

Data warehousing and cloud data warehousing share the fundamental goal of storing and analyzing large volumes of data.

It can integrate data from various sources, including structured and unstructured data, for the purpose of reporting and analyzing.

One of its major advantage over the on-premise data warehousing is that it can be accessed anywhere its users resides provided there is Internet Connection

However, cloud data warehousing differs significantly over traditional data warehousing. Here are seven major concepts:

7 Basic Concepts of Migrating into Cloud Storage

It is important you know that we are focusing more on the “how modern cloud-based data warehousing solutions are transforming the landscape of business intelligence (BI) and analytics”, providing organizations with –

1. Greater Flexibility: Adapt to changing business needs without a need for significant capital investment
2. Scalability: Based on the amount of data and the number of queries, it can scale up and down
3. Performance: It provide high-performance query execution and data processing
4. Storage: Storage of cloud data is in highly durable manner that accommodate different access pattern
5. Data Integration: On-premise databases allows the ingestion of data, IoT devices and third-party applications into cloud storage with 100% safety.
6. Reduced Maintenance: The cloud provider handles infrastructure maintenance, updates, and scaling.
7. Advanced Features: Access to advanced analytics, machine learning, and artificial intelligence tools.

The above concepts form the foundation of cloud data warehousing, enabling organizations to leverage their data more effectively and efficiently.

Top 4 Cloud Data-Warehousing Providers in 2025

Cloud providers handle maintenance, upgrades, and security, reducing the burden on in-house IT teams.

1. Amazon Redshift: A fast, fully managed data warehouse service that makes it simple and cost-effective to analyze all your data using standard SQL and existing business intelligence tools.
2. Google BigQuery: A fully managed, serverless data warehouse that enables super-fast SQL queries using the processing power of Google’s infrastructure.
3. Microsoft Azure Synapse Analytics: An analytics service that brings together big data and data warehousing.
4. Snowflake: A cloud-based data warehousing company that offers a fully managed service with separate storage and compute, enabling independent scaling.

Use Cases of Cloud Warehouse of all time

• Business Intelligence and Reporting: Aggregating data from various sources for comprehensive reporting and analysis.
• Customer Analytics: Analyzing customer behavior to improve marketing strategies and customer satisfaction.
• Financial Analysis: Conducting financial analysis and forecasting to support business decisions.
• IoT Data Processing: Ingesting and analyzing data from IoT devices for real-time insights and monitoring. 

Now, let’s try to consider some advantages which guarantee more insight of cloud data warehousing solutions as against traditional data warehousing with the followings

1. On-premise infrastructure/cloud-based infrastructure

On-Premise: deployed using an organization’s own hardware/software infrastructure with a fixed capacity, based on the physical hardware resources available.

Cloud-based are hosted on cloud platforms provided by vendors and offer scalable capacity, adjust resources dynamically based on current demands.

2. Fixed Capacity/Scalable Capacity

On-Premise: Needs additional hardware that is time consuming/expensive. They are static in nature with difficulty in achieving urgent data-volume expansion

Cloud-based: It can scale resources up and down to meet changing demands, workload but ensuring optimal performance and cost efficiency.

3. Fixed cost/Variable cost

On-premise: Cost are fixed with its usage notwithstanding, therefore incurring more expenses based on proposed needs.

Cloud-based: A pay as you go model of resources engaged. Cost reduction is possible during scale down of resources.

4. In-house management/Vendor’s management

On-premise is not cost effective thereby, in-house IT teams is needed to manage resources, backups and eradicate security breach. 

Cloud-based: Maintenance, updates, Security is sorely handled by cloud providers with less burdens on the IT teams.

5. Limited accessibility/Global accessibility:

On-premise: Data access is limited due to Organization’s local networks which cannot be used remotely. Integration of data from multiple sources is almost impossible.

Cloud-based: Working remotely is 100% possible from anywhere globally with access to internet connection.

Compatibility and Security 

Data is replicated across multiple regions thereby provide high availability and reduce the risk of data loss.

Also, the cloud providers offer automated backup and disaster recovery solutions which ensure data quick restoration in the event of a failure.

Again, structured and unstructured data are offered scalable storage solutions for easy storage and management of large dataset.

Here is what to expect when you migrate from Traditional Data warehousing into Cloud Data warehousing.

1. Seamless Integration: Cloud solutions offer robust data integration services that can easily ingest and process data from various sources, including structured, semi-structured, and unstructured data.
2. Data Protection: Cloud platforms implement robust security measures, including encryption, access controls, and auditing, to protect sensitive data.

Originally posted on December 3, 2024 @ 11:26 am

CONCEPT OF LOUDNESS WAR

The “Loudness War” in digital sound mix describes the trend of increasing the overall loudness of music productions and recordings.

This means that The Loudness war focuses on loudness over “Dynamic Range”, often time at the expense of quality sound.

While Dynamic Range as caption is the difference between the quietness and loudest parts of a track.

But the misconception is that compressing this range allow producers to make music sound louder that it often results in a loss of depth, clarity and emotional impact.

adversely, compression also allow quieter sounds to be heard more clearly while avoiding distortion in louder sound.

Also, Compression can make music sound fuller, but excessive compression can lead to distortion and a loss of dynamics.

Please know that Compression is the technique that levels out peaks and valleys in audio, making the track sound “louder” on average.

LOUDNESS BY COMPRESSION VS SOFTNESS BY COMPRESSION

In digital mixing, engineers choose between these compression concept depending on the desired style and emotional impact of the mix.

Let’s understand the two (2) contrasting concepts of using compression in digital audio mix.

1. Loudness by Compression

   It refers to the perceived volume of sound by listeners, often increased through dynamic range compression of an audio track without increasing the peak levels.

This technique is commonly used in genres that require impactful, punchy mixes (like pop, rock, and EDM), where energy and loudness are prioritized.

The phenomenon became prominent in the late 1990s and early 2000s, as advances in digital audio production tools allowed engineers to push the volume of recordings to the limit.

Why do you need Loudness by compression?

By making quieter elements of a track more audible, compression ensures that details are present in the mix. Instruments and vocals do not get lost, which can make a mix sound fuller and more cohesive.

Why you do not need Loudness by compression!

Continuous exposure to highly compressed music can lead to “listener fatigue.” When all parts of a song are pushed to sound equally loud, the ear can become overwhelmed, making it tiring to listen for extended periods.

2. Softness by Compression

   It is when you apply more subtly to maintain a natural, smooth feel in the audio by controlling only the loudest peaks without heavily compressing the overall signal.

This method preserves more of the natural dynamics and character of the sound.

The softness technique is often used in genres where a relaxed, open dynamic range is preferred such as jazz, classical, and acoustic music, where listeners appreciate the delicate nuances of each instrument.

The Beauty of using Softness by compression IN LOUDNESS WAR

Softness by compression keeps the original dynamics intact, allowing softer and louder parts to breathe and improved sound quality and clarity.

Why do you have to look away from Softness by DYNAMIC compression?

In a complex or dense mix, quieter elements in a track can get lost if the track lacks strong compression.

This will make some parts of your track less audible on lower-quality speakers

Yes, there are both advantages and disadvantages to using both approaches in digital mixing.

They are both popular techniques, especially in modern music but you have to trade with care to reach out to your audience the best form to desire more of your mix.

Let’s take a ride into its

1. Root cause;
2. Feedback mechanisms of Loudness War and;
3. Best remedies to avoid Loudness war

ROOT CAUSE OF THE LOUDNESS WAR

1. Misguided perception of Quality Sound: Music producers realised that louder tracks stood out more on the radio and music charts.
2. Competitive Market Pressures: As CDs and digital music became the primary mediums for music consumption, producers and record labels began competing for attention.  A louder song would stand out more, particularly in radio and streaming playlists, encouraging labels to prioritise loudness to catch listeners’ ears.
3. Audio Tools: Likes of limiters and compressors which gives rooms for engineers to increase perceived loudness without noticeable clipping.

PLEASE NOTE: Dynamic compression – The main tested way to increase the overall volume of recordings.

5 FEEDBACK MECHANISMS THAT BEST CURE THE LOUDNESS WAR

1. Audiophiles –

As music listeners became more aware of the loudness war, it resulted to pushback, particularly from audiophiles and music critics who value sound quality over sheer loudness.

2. Streaming and Normalization –

Some platforms automatically adjust playback levels to avoid jumps in loudness between tracks, reducing the incentive to make songs artificially louder.

Example includes Spotify, Apple Music, and YouTube. Etc. This has encouraged some producers to focus on sound quality rather than loudness.

3. Artist and Producer Shifts –

Artists and producers in genres; jazz and classical, embraced greater dynamic range in recordings as a mark of quality.

This approach has gained traction even in mainstream pop, with more producers prioritizing for clarity and depth.

4. Technical Advancements –

Enhanced digital audio technologies and better mastering plugins give producers more control over how sound translates across different listening environments, enabling quality production without excessive loudness.

5. Listener Experience –

This mechanism promoted advocacy for balancing ensuring tracks are engaging without causing discomfort/tiring the listener over time.

2 BEST REMEDIES TO IMPROVE LOUDNESS WAR FOR CLEARER AND QUALITY SOUND.

Interestingly, modern streaming platforms like Spotify and Apple Music as mentioned above now try to normalize the loudness of tracks.

But, excessive loud tracks are not automatically favoured, potentially signalling the end of Loudness War.

Some mastering engineers and artists are pushing for a return to greater dynamic range, advocating for sound quality over sheer volume.

Audiophiles and producers alike are now rethinking this approach, focusing on delivering a more balanced, high-quality sound. Therefore, the remedies include;

1. Digital Audio Workstations (DAWs): The rise of  DAWs and other digital tools allowed engineers to manipulate audio with precision.

This made it easier to push tracks to higher loudness levels without necessarily clipping or distorting.

2. Listener Preferences and Formats: It enables streaming platforms became popular from high-quality headphones to phone speakers.