Month: November 2021

From SAGE to SAP Business One: Why and how to Migrate?

Posted on by stridely

Data migration is part of a sophisticated and crucial implementation procedure while investing in a modern business management software solution. Thinking of existing data migration procedure to a brand-new ERP system and the benefits of doing so? This article has you covered! That said, such migration diminishes the risk of unknowns, importing imprecision, and inessential material.

Also Read: SAP Business One for All — Helping Ventures set it up while COVID-19 is around.

Various small businesses utilize SAGE 50 as managing their accounts due to their user-friendliness, reliability, and basic characteristics. It is a superior choice for small organizations, but the growing business needs can only be sustained by an authentic ERP solution, such as SAP Business One.

Why opt for SAP Business One over SAGE 50?

Below is a thorough comparison of SAGE 50 and SAP Business One:

A general overview

SAGE 50 is a general-purpose small business accounting software, which caters to your business needs. Its end-of-life date (September 30, 2021) has passed already.

SAP Business One is a top-notch industry-based premium ERP solution utilized to control all business aspects. Moreover, it is perfect for those businesses, which have surpassed SAGE 50.

Target Customers

SAGE 50 works amazingly for small businesses with elementary accounting requirements and minimal budgets. Therefore, small business owners are their target customers.

On the other hand, SAP Business One, its target customers are growing small and medium-sized enterprises with business management and accounting needs.

Software Type

The software type of SAGE 50 is Standalone Cloud. In contrast, SAP Business One is running on-premise, Standalone, and Cloud.

CRM

SAGE 50 can track calls only and set numerous reminders for a specific customer. On the other hand, CRM for SAP Business One is integrated as a leading part of the software. You can use it to manage campaigns, detect marketing activities, service contracts, and sales scopes.

TheArea of Business

As far as the business area is concerned, SAGE 50 follows accounting, and SAP Business One follows accounting sectors and financial inventory, operations mobility, CRM purchasing, and real-time reporting.

Top-notch Features

Business owners will get the top 7 features for accounting in SAGE 50, and for SAP Business One, you will get 19 features for business management.

More comprehensive reasons for upgrading to SAP Business One from SAGE 50

SAP Business One was carefully embellished for small to medium-sized owners, and it is the common progression from SAGE 50. Moreover, it’s a comprehensive and genuine business and accounting management solution, well-known for its flexibility, affordability, and full customization. In brief, the leading advantages of SAP Business One are limitless and offer the ideal platform for promoting growth.

Also Read: Your Guide to SAP Business One for Manufacturing

Here, enlisted more worthy reasons you should opt to facilitate your business growth from SAGE to Business One:

  • You require a three-tiered accounting system to reimburse all ledgers.
  • You require premium software to assist more than 100,000 transactions and successfully control your developing business’s requirements.
  • You need a personalized solution to be delivered along with business support.
  • You want to superintend your stock and business throughout numerous locations.
  • After a successful migration to SAP Business One, you will get an extra function, for example, manufacturing, CRM, and stock control characteristics.

How to migrate from SAGE 50 to SAP Business One?

Stridely Solutions’ team of experienced IT experts offers seamless migration from SAGE 50 to SAP Business One. Our world-renowned team of consultation professionals provides a straightforward and comprehensive approach to implementation. Leveraging superior industry practices and proven methodologies, We solve customer business challenges through our value-driven approach and advanced technology solutions.

Also Read: SAP Business One for Chemical Manufacturing Industry

Before you decide which ERP solution is best for your small businesses, you have to know everything about the product you want to buy and opt for an appropriate partner to help you provide information through the implementation process.

Stridely has developed a robust set of practices that have garnered significant interest, with more than 70% of customers considering migration from Sage 50 to SAP Business One. By choosing this migration, your organization can expect real-time value and a rapid return on investment, ensuring accelerated growth and success.

Step #1: The initial step involves exporting your opening balances and master data. The master data comprises items, prices, customers, charts of accounts, leads, and suppliers. On the other hand, the Opening Balances include AR and AP invoices, period-ending balances, general ledger entries, as well as purchase orders and sales orders.

Step #2: The second step involves importing data into 300+ import templates of SAP Business One for a hassle-free transition. This is how it can ease the process of data cleansing. You shouldn’t be a techie to get through your Master Data. Therefore, such a whole process must take a few days and shouldn’t incorporate maximum time into the implementation process.

In that case, with such a method, you can effectively ensure you are delivering precise information or data. Also, you can make sure that it supports your business requirements, and budget overruns, reducing the delay risks, and opportunity curtailments that might spawn.

Success Case: SAP B1 Implementation For Pharmaceutical And Healthcare Manufacturing Unit

Step #3: Now, when you acquire all the Opening Balances and Master Data in your brand-new system of SAP Business One, you have two options in front of you. You can either leave SAGE 50 for historical questionnaires or quickly move forward to importing that transactional data.

Such data consists of invoice history and general ledger journal entries, and in terms of GL structure, significant efforts are required due to data cleansing. Sometimes, it doesn’t require, and you might need comparison reports in terms of your period-ending balances. But you will never be required to bring in the transactional history.

Conclusion

Do you still possess lingering questions in mind about the SAGE 50 to SAP Business One migration? In case you are not ready to execute such a move to SAP Business One, this article provided you with top and valid reasons for such migration. With SAGE 50 retiring, it is time to upgrade.

Opting for SAP Business One will lead you towards business growth as it provides much more exciting features than SAGE 50. Take the help and services of qualified third-party SAP partners like Stridely to make the migration hassle-free.

 

 

Business Intelligence in Manufacturing Industry: Unlock Operational Efficiency

Posted on by stridely

Business intelligence (BI) allows software and services to interpret data into actionable courses that tell a company’s tactical and strategic business decisions. But it is any good for the manufacturers? Well, it’s precious.

In this article, we will tell you how the implementation of business intelligence in the manufacturing industry can help you disrupt the industry.

Manufacturing and Business Intelligence: Understanding the Connection

Businesses face challenges in implementing business intelligence for production due to the complex nature of manufacturing processes, which involve multiple steps in generating and organizing product modules.  Hence, producing companies often keep discovering ways to pave their task more effectively.

Success Case: Deploying Next-Gen Business Intelligence Solution For Telecommunications Industry

BI tools facilitate the interpretation of structured and unstructured data into valuable insights. This data goes beyond revealing sales processes and issues; it also sheds light on consumer profiles and enables companies to optimize their offerings to meet customer demands.

Furthermore, analytics and data play a pivotal role in enhancing operational effectiveness and streamlining business procedures. Manufacturing companies can leverage these tools to reduce the time spent on pre-execution procedure inspections, thereby maximizing efficiency.

How BI changes the Manufacturing Processes?

BI gives manufacturers to analyze the current data and information that maybe have been safely transferred across the different factory levels and accumulate it into a convenient enabling source. There, discrete sections can be enabling the data they require to execute decisions relevant to their field.

Also Read: The Strategizing Part for Manufacturing Sector – Tips for Futuristic and Sustainable Planning

At the consequent time, the head of areas and management can inspect to make sure the complete systems are carried out at the peak of productivity.

While producers may also spend a big amount of attention in order to maintain the machinery and train people, it often comes down to putting the same diligence into their business intelligence procedures. This shortage of commitment to accumulation and assessing information can lead to manufacturing delays and cost re-runs.

Use Cases of Business Intelligence in the Manufacturing Industry

Below are a few use cases of business intelligence in the manufacturing industry:

  • Efficient management of your supply chain

The company calculates its supply chain stats and interprets data often to make sure timely delivery and provide better services. This supports the company to track the package costs. With improved insights about every package, you can calculate shipment growth and compromise within the contracts.

Also Read: Deploying Intelligent Supply Chain – Why is it Crucial and How it helps the businesses?

BI can help you evaluate transportation expenditures, repair, and many more with the help of its efficient supply chain management. It provides companies with productive insights and interpretations based on real-time and past data to improve business operations. It also supports you in realizing the machinery problems and allows you to get them proactively.

Tracing the performance of the company’s machines and sections enables people to decrease and solve mistakes within the manufacturing cycle. Transferring and receiving can also put them the requirement to demand raw materials for peak effectiveness and grow the chances to fulfill order demands.

  • Predictive analytics makes you proactive

In the realm of business intelligence, the ability to predict market trends and consumer behavior is crucial. By leveraging analytics, companies can uncover valuable insights into patterns and behaviors, empowering them to take proactive measures to enhance production operations. Predictive analytics also allows for proactive planning of maintenance and service, preventing downtime and ensuring optimal performance.

  • Evaluate equipment effectiveness

There are a slew of reasons that result in inefficient manufacturing. Issues coming out of machinery because of installation, poor maintenance, and regular downtime, affect manufacturing severely. In order to maintain the functioning of production management, it is essential to keep an eye on these reasons.

The assimilation of business intelligence and data analytics in production supports you to be informed about the health of your equipment. It provides the company with current data on the operation of your production. Eventually, Business Intelligence supports streamlining the company’s task charts in your manufacturing unit.

  • Demand forecasting

Accurate demand forecasting is vital for planning manufacturing, supply chain activities, and inventory management. By incorporating information analytics and leveraging historical data, businesses can obtain a comprehensive view of their data, allowing for precise alignment of operations and reducing manufacturing waste.

Business intelligence can be utilized to track downtime across employees, departments, and machines, highlighting areas that require improvements. Predictive analysis can help anticipate and prevent production errors, leading to enhanced productivity.

  • Optimize financial management

Companies can use it in production for interpreting the data of departments, like inventory, sales, and assets. This provides the exact reasons and output from each department or section. It gives you the researched cheap and cost-benefitting analysis, of which you can pave new roads to generate revenue and save money.

Many Producers need to follow the safety and rules requirements. It enables the producer to maintain better standards and provide them to the customers. The important factor about this intelligence in improving the production procedures is that checking and growing all the components results in long-term betterment in profitability.

The Impact of BI Implementation

Business Intelligence and analytics data help the organization improve its operations, and procedures and decide restrictions more thoughtfully. It can guide you for automation as well as managerial tasks throughout. To summarize, BI will change:

  1. How You hold with your customers: In any case whether you’re B2C or B2B, your customers care about quality, delivery, cost, and predictability. Using BI, producers can minimize every step of the production process, by ensuring operations delivery costs and quality control, are managed at maximum effectiveness. And when it’s not, the individual required will be the first to be warned knowing the same data is available.
  2. How You Equip Your Employees: Design mistakes manufacturing, accounting mistakes. Decimate the mistake of the blame game by providing each employee should be shared data of the progress made so far against the set goals. Identifying mistakes will help you reduce troubles and equips management to take important decisions.
  3. How You Take Action: Companies can avoid delays in decision-making by having real-time visibility instead of dealing with a pile-up of reports. Power BI empowers businesses to proactively address fundamental issues impacting manufacturing units or production lines, allowing them to prioritize important matters without being pressured by urgent issues in the office.
  4. How You Optimize Operations: Automating data inventory ensures a reliable, centralized source of compressed data. This enables authorities and executives to access the data seamlessly, streamlining inventory management, reducing waste, and improving data processing speed.

Also Read: Augmenting the Tactics of Business Intelligence in Manufacturing Industry

Conclusion

Business Intelligence clears the picture for users with valuable data and experience in business procedures. It supports you to solve issues swiftly, it provides to predict the ongoing demands for inventory and resources demands. The production area is positively copying BI in all of its management. Companies are seeking to maximize their hard procedures and capitalize on their turnover yearly.

The accumulation of BI in manufacturing is building various ways of revealing intelligence and making it accessible. Business intelligence evolves with business needs and technology, integrating AI insights into broader strategies.

BI software platforms enhance individual functions, adding value to businesses by providing comprehensive capabilities for sales tracking and offering insights into profit forecasts and customer behavior.

Seeking expert advice on where business intelligence can help your manufacturing units and business, or need BI solution, development experts? Stridely can help you in both cases. Let’s connect to upgrade your business’s stature in the market.

 

 

Weed Detection through Monitor Vision: A New Era in Farming

Posted on by stridely

Weeds are a major factor that affects the quality and quantity of agricultural produce. Generally, chemical herbicide sprays are used for eliminating weeds from the farmland. But its continuous use adds waste and pollution to the ecological environment of the farmland.

Over the years, the level of agricultural production has been improved. Plus, the improved methods have also helps in distinguishing weed from crops accurately. Thanks to the computer vision technology that helps in successful weeds detection. It allows the individuals to ensure that the spray is used only for weeds. However, it is to be noted that accurate spraying is dependent on accurately identification of crops and weeds.

Business Solution: Smart Product Recommendation System

The use of computer vision technology in weed detection has increased considerably in the recent years. It uses two data science methods: deep learning and image processing for solving weed detection issues. With this technology in use users can get overview of a number of methods that can be used to detect weed and provide weed datasets.

Agricultural Herbicide Spraying and Weed Detection using Smart Computer Vision

Using herbicides in the initial stages increases the yield while reducing the waiting time needed for growth of the crop. The procedures for eradicating and controlling the weed existing in land needed manual efforts. A more efficient alternative technique is required for reducing the man power. It will create a number of opportunities for facing the challenges of the world market.

Concept of monitor vision for weed detection ensures proper identification of weed. Plus, the technology also helps in ensuring that the herbicide isn’t sprayed to the areas where it isn’t required as the chemical contaminates both soil and water. The computer vision comprises of two techniques wavelet based algorithm and image processing for classifying the weeds.

Besides, the technique also comes in handy for segregating the weeds from the cultivated plants. It can also be used for evaluating nutrition of the soil. Additionally, it can also be used for spraying herbicide to the right area soil pollution and water contamination levels can be lowered to maximum possible extent.

Factors affecting weed detection

Weeds have complex natural properties with a number of varieties of species, random growth, leaf sizes, and shapes, and texture features. When they are in buds stage the plant size is small but their germination density is high. Resultantly, it’s difficult to get accurate data and statistics of the weed even with an efficient technology like monitor vision.

Following are major factors that affect weed detection performance –

  • The growth stages of weeds – The leaf texture, spectral characteristics, and morphology of most of the weed plants change with change in the season. Hence, the development and growth stages affect weed detection process.
  • Change in light conditions – It plays a major influence in weed detection as the plant canopy’s shade and the sun’s angle affects the vegetation’s color. Most of the people use Otsu algorithm and ultra-green index for solving this issue which is caused due to ambient light. Even HIS color model and grayscale images are used with the H component to reduce impact of uneven lighting on color images.
  • Occlusion and overlapping leaves influence – Separating the weed plants accurately is a tough task. The overlapping leaves, field images, shadows, occlusions, damaged leaves, and leaf dead leaves affect the leaf segmentation process impossible when the computer vision processes the images.
  • Weed detection bottleneck – Factors like algorithm complexity, plant density, and hardware, limit the accuracy and speed of weed detection. Hence, quick and accurate weed identification and image processing remains highly challenging task.

Use of weeding machinery in monitor vision technology

The monitor vision technology detects the smart weeds smartly which helps in identifying the target efficiently when spraying. It features autonomous robots which improve the efficiency and accuracy of the entire weeding process.

Powerful mechanical techniques and computer vision design a number of automated weed controlling robots. It leverages computer vision for detecting weeds and crops and applies the herbicides selectively. To achieve precision agriculture the weeds are eliminated or detected among rows.

It also features weed knife control system comprising of computer vision-based geometric 3D detection algorithm. The mechanical knives devices also help in automatic weed control in case of selective crops like lettuce and tomato, hence making it an ideal solution for farmland with high-weed density. It is mainly used for detecting a particular plant or weed on the field which may cause quality, health, and yield problems if consumed by livestock.

Also Read:  Natural Language Processing for Manufacturing Industry

The design and functioning of a robot platform plays a crucial role in implementation of the computer vision weed detection method. Generally, a weeding device is installed in the tractor, and a camera is installed in the weeding tool. Individuals can replace the weeding tool with steam nozzles or insecticide. Smart weeding equipment and machines are more efficient and save more manpower in comparison to the traditional methods. Plus, they also enhance the overall productivity and helps individuals to achieve better results in their agricultural processes.

Limitations of weed detection through computer vision

  • Different weed and crop species create different problems for species detection. The task become even more challenging when the crop and weeds present in the field have a number of similarities.
    However, there have been researches for differentiating weed and crop species using robotic vision but it has helps in identification and classification of the leaves for particular plant varieties instead of the field images. The stability and accuracy is low when the method is applied for detecting weed in a vast field.
  • Weed detection evaluation and dataset indicators – Currently, there are a limited number of public datasets for weed detection. However, there are self-built datasets that are used to map the performance of the technology and the process. Though there are datasets for selected crops but the algorithm portability but it is difficult to measure the performance accurately.

Future of monitor Vision based weed detection in agriculture

Unlike the traditional methods, robotic vision based weed detection technique features deep learning which is based on high-end weed detection. Automatic weeding and weed detection have been achieved with the help of various mechanical equipment and methods. They have laid an excellent foundation to achieve precise weeding and high efficiency in the future. So, AI is not just changing how digital businesses work, but farming too.

Researchers have successfully obtained satisfactory results in different weed detection backgrounds; however, there is still lack of robustness and generality. Methods based on deep learning show that the technique has been successful in meeting the weed detection requirements, but most of the labeled samples also show that there is much to be done for reducing the manual working involved in the weeding process. In comparison to the weeds, it is easy to obtain the images of crop present in the field.

Efficient use of weed detection technology and developing an automatic guidance system for agricultural operations and crop detection can be conducted in a number of aspects, like spraying, harvest, transportation, and weeding.

Agricultural vehicles with automated systems don’t reduce and fatigue the operator’s labor intensity. Hence, it improves the safety and efficiency of the entire process. Currently, few devices and methods meet practical applications of weed detection requirements. However, there is a lot to be done for developing weed detection equipment with cost efficiency and high performance.

Let’s get in touch to know more.

Challenges in Using SAP Fiori User Interface and What’s the Solution for Each Issue?

Posted on by stridely

If your work profile has anything to do with the manufacturing sector or you’re placed in a position like decision-makers, managers, and other top executives then your prime aim would be to have cost-effective, viable, and highly useful resources by your side.

 

Well, this is the need of the hour as such resources make a business thrive better than ever. SAP is one such resource. With more than 26% market share, SAP is leading the ERP market. One can have an idea about its popularity from the fact that nearly 121,000 SAP installations have been done till now.

Also Read: Digital Transformation and SAP S/4 HANA

Its Fiori app is no less than a knight in shining armor for start-ups as it is easy on the pocket and delivers amazing performance. But, it’s not always a piece of cake as some SAP Fiori user interface issues will stop you from relishing the benefits. In this post, we summed up some of the most common SAP Fiori user interface issues and their viable solutions.

SAP Fiori – Bank upon it For Better Experience 

SAP Fiori is one of the greatest inventions of SAP. It’s an ultra-modern UX ready to work wonderfully on every sort of device. With the help of this tool, designers and developers will have access to certain tools and guidelines for fabricating unique, innovative, and experience for all sorts of platforms. Using the resource, converting ideas into great apps becomes a seamless job.

Speaking of the utility of SAP Fiori, it’s wide and popular. It replaces the old-school SAP Graphical User Interface (SAP GUI) and has become the most common front-end tool for new SAP applications and mobile computing projects. In the Fiori App Reference Library, one can find fund hundreds of SAP Fiori apps, ready to assist in SAP HANA development.

Also Read: Usage and Features of SAP S/4HANA that can make Retail Management Easier

Most commonly, it’s used for the development of apps handling accounting, forms, inventory, custom fields and logic, application logs, and billing operations.

This is a browser-based UI compatible with leading browsers like Edge, Firebox, and Chrome. When deployed successfully, processing business transactions in SAP becomes an easy job. It made its first public appearance in 2013 and was made accessible for the public in 2014. SAP Fiori is supported on iOS, Android, and Windows.

Here are some of the perks to enjoy after bringing SAP Fiori into action.

  • Seamless experience regardless of the device used 

SAP Fiori promises not to let the type of device ruin the user experience and gets succeed as well as it is capable device solutions as per the customers’ need and requirements. It works wonderfully on devices like tablets, desktops, and smartphones. Vital cross-device support for business functions is also offered.

Great resource accessibility and mobility as it lets businesses generate highly optimized apps in the least possible hassles. Whether you want to create mobile apps or web apps, SAP Fiori is here to grant unmatched work mobility.

  • Better customer experience 

When boosting user experience holistically is what a business needs then SAP Fiori stands second to none as it brings enchanting and interactive UI elements at work. End-users are capable to get the apps of their choices and preferences. While enjoying this perk, they are allowed to set themselves free from getting into the tedious stuff like watching over and filtering the data. All these things lead to quick and hassle-free operations.

  • Amazing remote workability 

As mentioned above SAP Fiori can create apps of all sorts. Small businesses will get amazingly benefitted from this as they will have unmatched remote workability. Before SAP Fiori, SAP GUI was the only means for SAP app development. But, it fails to show utility with the variety of mobile interface styles.   

With SAP Fiori, implementation of Bring Your Own Device (BYOD) policies becomes an easier job for businesses. The simple and seamless interface of SAP Fiori will allow end-users to build an app over single touch. As SAP Fiori delivers consistent UI behavior and unified experience, regardless of the device type, users will face nearly zero hassles in app development.

Businesses can create mobile and web apps and can work from a location of their choice.

  • Unmatched productivity 

The above point makes one thing clear that when the functionality will be without any location or device constraint then the team can perform more action in less time.

The SAP UIs make things easier than ever as it features simple menus and titles. Fewer clicks are needed to perform more action. If you’re having trouble believing on then you must read this comparison about SAP Fiori and SAP GUI. It explains that the workflow comes down to 2:12 seconds to 47 seconds with SAP Fior.

  • Less development to do

As SAP Fiori has evolved with SAP HANA, end-users don’t have to make efforts to develop any other supportive tools. Recently, the SAP Apple partnership has offered tons of preset app options to the end-users. The Fiori library is also going by leaps and bounds. In short, everything needed for SAP development is at developers’ disposal.

While all these benefits are highly persuasive, they can force us to miss out on the key challenges of SAP Fiori. Yes, no matter how advanced technology seems, certain hurdles are always there to ruin things. Up next, we’re going to explain the key SAP Fiori challenges and ways to get rid of them.

SAP Fiori Challenges 

  • Too many and too frequent updates

Updating things and app versions is a good thing. But, when it happens in access, it becomes a headache. Sadly, this is the case with SAP Fiori.

Every year, a new version is released with minor or major changes. SAP Fiori is an easy tool yet developers need time to have a hold over its functionality. And, by the time they are done, a new version is released once again.

This increases the testing and implementation burden on the businesses. If changes are minor, businesses need to train the staff to make most of them. Testing, which is already very tedious, has to be done with each new version release.

  • Complex and abundant end-to-end integrations

Who thought that having too much integration can be troublesome? But, it’s true that excess of anything is bad. SAP Fiori is the perfect example of this. It’s not one technology but a blend of many technologies. Here, SAPUI5 is used as UI technology. In addition to that, WebDynpro apps are used for SAP S/4HANA and SAP GUI for HTML apps.

All these and many more integrations make the entire infrastructure a bit complex. Businesses with little technical competency will have bug time troubles to get out of this complex ecosystem and utilize each integration in full swing.

  • Tough and tedious version control 

As mentioned above, SAP releases new versions of SAP Fiori now and then. This makes version control a huge challenge for the developers. They need to run tests continuously to make sure the newer version is compatible or not. 

The Viable Way Outs 

These challenges, when not handled properly, can act as a major hindrance and stop end-users to make most of this app. This is why learning immediate and doable remedial solutions are imperative. Up next, we‘re going to bring the most notable actions to take to keep these risks under control.

Solution #1- Hire expert assistance 

You can’t get rid of testing as it’s a crucial aspect. But, you can hire a dependable SAP Fiori implementation partner like Stridely Solutions to take care of this job. They can look after it. As they have enough resources and expertise to perform testing adequately and timely. It keeps business shoulders free from rigorous testing and they can diverse their focus on more crucial tasks.

Solution #2- Take onboard that is required 

There is no point in having integrations that are no longer needed and are only increasing the system complexity. When it comes to integration in the SAP Fiori app, having too many integrations can make things go south. So, it’s better to figure out exact requirements and move forward accordingly.

If you’re having trouble finding out what’s needed and what’s not, take the help of SAP Fiori consultants and know them well.

Solution #3 – Pay attention on minor details 

If you’re having basic configuration issues with the SAP Fiori app then you need to be aware of certain technical knowledge. For instance, make sure that components, SAP Notes, and support packages are installed properly. Also, make sure that communication channels are also configured properly. Don’t forget to assign roles and authorization along with the activation of OData services and ICF nodes. Doing so keeps the integration and configuration-related minor issues at bay and ensures SAP Fiori is assisting the way it should be.

Ending Notes 

We, and many others, are in love with the high-end functionality of SAP Fiori. It has reduced the workflow and has made the SAP development quick, professional, and seamless. But, it’s not always a piece of cake as certain challenges like complex integration and rigorous testing can impede the overall experience.

For a non-technical professional, it’s too overwhelming. The best move is to hire professional assistance and sit back and relax.

 

 

How Cloud Analytics Boosts Business ROI: Drive Growth and Profitability

Posted on by stridely

In this developing business world, organized analysis of last data patterns assists in building various business tactics for future operations and helps serve the customers better. Businesses use data analytics to perceive their customer choices better, stay competitive and maximize profit.

Analytics provides a driving edge by recognizing the ever-changing business needs and customer demands to take relevant action to remain competitive in the market. It helps to store, interpret, as well as process old data to fulfill clients’ needs. For massive data analysis, company executives are always interested in the return on investment and various tools to generate actionable insights from multiple data sources.

Cloud Analytics: An Overview

Nowadays, cloud analytics has become a valuable tool in the business community as the total amount of data continues to ascend. It has various advantages for businesses, as:

  • It uses various analytic algorithms in the cloud to deliver an outcome of the client’s interest.
  • It deploys scalable cloud computing and robust analytical software to recognize data patterns and extract valuable business insights.
  • It helps businesses to improve organizational performance and gain an advantage over their competitors.

Importance of Cloud Analytics

Cloud analytics is a blessing for companies with fluctuating analytics needs and who can’t afford or don’t want on-premises data storage. The business data processing involved in the analytics is performed on a public or private cloud to evade the need for on-premises business data storage, hence reducing the operating costs and administrative burden of managing hardware.

Companies can also make use of the hybrid model where some of the functions can be used on on-premises, and the remaining can be transferred to a cloud.

Cloud analytics uses various industrial applications such as scientific research, business intelligence, and many more in association with artificial intelligence, deep learning, and machine learning. These analytics approaches help organizations to create data-driven decisions and achieve improved efficiencies in their products and services. The cloud offers a software ecosystem to build AI applications and allows experimentation of business ideas employing proofs of concept (POCs).

PoC – Smart Recommendation System

Getting Started with Cloud and Cloud Analytics

Companies can choose cloud storage based on their business needs. A company has three options to pick its cloud storage:

Public Cloud

A public cloud allows multiple users to share the network publicly, ensuring total data privacy. Users can publicly access the storage and processing on public cloud data, and it follows a multi-tenant architecture that shares cloud storage with other companies. Although different companies share cloud services, every single data and application are not visible to the other.

Private Cloud

A private cloud is exclusively for only one company with an exclusive IT system and data. It is ideal for companies that look for a very high-security system for their business data, such as banks.

Hybrid Cloud

A hybrid cloud integrates public and private cloud, suitable for a company with a few sensitive data requirements. Moreover, companies can move their less sensitive data to a public cloud while retaining sensitive data in a private cloud.

Also Read: How to Accelerate Time to Value for your Hybrid IT Strategy with Microsoft Azure?

Make the Most Out of Your Data

Cloud analytics performs the analysis on a software system hosted on an internet platform. The massive business data gathered around the globe is growing exponentially and is getting pooled in the cloud. Various companies like Amazon and Google have their own data centers with powerful servers to manage cloud services.

Computing platforms like Microsoft Azure and Amazon Web Services support cloud-based analytics tools. The business data is collected and stored on the cloud and is accessible from anywhere and anytime.

Like on-premises analytics, various algorithms are put into huge data reserves to recognize the data patterns, bring out the helpful information from that data, and foresee future outcomes.

How will Cloud Analytics help your Business?

Cloud analytics helps companies to implement and manage data analytics for their stakeholders. The users can access data from any approved device and focus on the data insights to make more informed decisions. These days more organizations are utilizing cloud analytics to launch and scale their business analytics solutions. Significant benefits of cloud analytics include:

Scalability and Cost saving

Hosting on-premises analytic solutions demand the big-budget upgrade of existing IT capacity to fulfill the requirement of extra storage capacity. Use of the cloud analytics helps businesses to be upscale by buying storage and computing resources from the cloud service provider. A hybrid business analytics solution is beneficial for companies who want to leverage the cloud to assess new projects before making a considerable investment.

Maintenance

In data analytics solutions, all updates and upgrades are automatically executed. So the companies don’t need to deal with the maintenance related to on-premise servers.

Security and Governance

The leading cloud providers make use of advanced security features ensuring high-level security of business data. Now businesses can set up their admin control, secure their analytics with data encryption and conduct frequent assessments.

Data Accessibility

Cloud deployments offer business insights to any device with an internet connection, anywhere and anytime. It leads to improved collaboration among colleagues by allowing them to view and share analytics outcomes.

Data Availability

Most of the cloud providers assure 99.99% of service availability. The fault-tolerant systems of the cloud services ensure no analytics disruption, even in case of unplanned downtimes, natural disasters, or unforeseen events.

Critical Capabilities of Cloud Data Analytics Platforms

There are numerous cloud analytics solutions available in the market to choose from. However, choosing the one for individual business needs can be challenging. Some features to look for while choosing one for your company are:

Truly Cloud-based Analytics

If, to create the data analytics, you need local software; then it is not cloud analytics. Cloud analytics ensures a better user experience and a high level of data security.

Third-party Data Consolidation

Cloud analytics enables companies to collect, integrate and analyze financial data from third-party sources for better insights.

Accessible and Readily Available Data

To access cloud analytics solutions, users don’t have to be coding experts. It offers easy access to data and helps to explore and analyze the same without any limitations.

Flexible, Governed Collaboration

A trustworthy cloud analytics platform permits the users to easily assign and change user permissions, ensuring high data security. It makes sure that the only right people have access to relevant data.

Capability to Share on Any Device

The ideal cloud analytics solution offers a comprehensive experience and accessibility from any device, laptop, or smartphone.

Using SaaS Software for Cloud Analytics

It’s also an option if you are looking for a low-cost alternative to self-hosted or managed cloud services.

SaaS helps businesses over internet to provide cloud analytics services to other users/businesses by making their solution accessible to end-users over the internet. So, to access the cloud analytics services, there is no need to install any software on the devices.

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Users can access the software remotely from any web browser. Companies charge a membership fee or a monthly fee from their clients to access the software. The users never have the software on the hard drives and can only access the software by paying the user fee.

Cloud Analytics for Business – Building ROI

To address the emerging trends in businesses, enterprises look to drive cost reduction and leverage IT service providers’ for cloud services.

Return on Investment (ROI) refers to the proportionate growth in the invested value over some time. To improve the ROI, there are four basic ways:

  • Decrease the investment
  • Decrease costs
  • Increase revenue
  • Make the return faster

Cloud analytics helps to achieve all of these, but not at the same time. Rather than the absolute values, it depends more on the association between various factors.

Choosing a public cloud will decrease the investment value but increase the cost. However, with private cloud, it can boost or worsen ROI either way. It increases the revenue by improving the delivered features, scale, and quality. Charges are higher operating on a larger scale. So enterprises need to get the right balance.

Every enterprise aims to cut costs and improve ROI. The adoption of technologies has become a necessity in this digital world. Enterprises are migrating to the cloud to leverage these technologies and get the financial benefits. Many fundamental drivers mark their effect on investment, revenue, time, and cost of an enterprise.

Increasing productivity

The use of data analytics empowers enterprises to be more productive and enables them to establish applications quicker, at affordable prices. Cloud allows users to access the data anytime and anywhere, enabling remote working and real-time sharing of documents and data.

Automation efficiency

The automation feature of cloud analytics reduces IT management time and increases productivity across business operations.

Fast data processing

Cloud analytics helps enterprises faster data processing with fewer resources, giving quicker and affordable data insights. It also helps in improved efficiencies of resources.

Data Security

The downtime and data loss by a cyberattack or any other reason may financially impact the enterprises. The cloud guarantees high availability and disaster recovery, along with reduced risk.

Closing words

Cloud analytics tools and software efficiently process complex business data and provides detailed insights with an improved user experience. These insights can provide a competitive edge to your business. Contact Stridely to enable cloud analytics and open a new range of possibilities for your business.