Assetsoft - Blog #Data Virtualization

The Three Major Data Analysis Trends Coming In 2021 For Finances

Fri, 21 May 2021 07:00:00 -0500

Big data keeps playing a significant role in countless industries, especially as the post-COVID world settles. Today, companies can’t overlook the advantages of in-depth data analysis methods and solutions.

That’s particularly true in real estate and similar industries. Data analysis’ benefits flourish where financial information is plentiful. Insight Software recently released its three fundamental trends growing this year.

Focused on the financial sector, it gravitates around data visualization, and it makes compelling arguments comparing the economic landscape with medical and science examples.

What do these trends mean, and what can you do to leverage them? The first step is to modernize your company. Working with a professional software implementation service is a crucial advantage.

Data visualization tools and democratization

The first trend is how data visualization keeps becoming easier in management and deployment. Most modern digital solutions, like Yardi’s ERP software, allow you and all users to access the data they need at all times.

Instead of creating security issues as more people can visualize said data, it streamlines multiple business processes. Data management used to depend on dedicated departments and infrastructures.

Today, users can leverage the required data immediately, and that means efficiency.

1. Users can take care of more tasks

At its core, democratization enables your users and resources to perform more processes with minimal onboarding and training.

It allows every team member to register and use the data required for their daily developments. It beats the traditional obstacles from business management and collaboration: limiting data access to specific roles.

2. The competitive advantages from adopting this approach

This information distribution allows a company’s resources to perform more effectively. It impacts your organization’s operations and decision-making throughout multiple departments. It empowers your teams, making them more independent from others.

3. What should you keep in mind?

On the flip side, data misinterpretation can backfire considerably. Users with minimal experience in data analysis pose the main risk.

That means that intuitiveness to reduce onboarding complications becomes crucial. Thankfully, most apps today offer stellar interfaces, reducing clutter and error margins.

Holistic approaches to data analysis

Secondly, companies move to a more holistic methodology in software implementation. Data analytics and reports previously focused on particular platforms. It limits business managers to the information available for specific systems.

Today, most apps work with APIs, and this enables extensive cross-platform integration possibilities. Your ERP can connect with CRM solutions, such as Salesforce, which produce considerable amounts of data.

That means managers can access marketing, sales, financial, and other data categories from one dashboard.

1. Software integrations need to expand

Sadly, app connectivity still needs to include more substantial information flow. Reporting tools are usually unavailable between unique systems, and this constitutes a significant hurdle.

However, APIs have influenced the technology industry significantly. The benefits and possibilities of software integration continue to cover more ground as time goes on.

2. Companies can streamline their operations

Accessing all the information necessary from one dashboard makes it easier to collaborate between teams. It’s more noticeable when we consider dedicated collaboration platforms.

Management resources spend less time assessing individual departments’ performance. The benefits manifest throughout entire companies.

3. What should you keep in mind?

When implementing new software into your company, you must consider its integration properties and open APIs capabilities.

With the proper software selection, any company can connect their entire databases and features with little effort.

Data visualization and business improvements

Finally, data visualization keeps gaining more attention by business managers looking to design new projects and initiatives. Reports provide invaluable insight into a company’s performance and which changes can optimize operations.

Analyzing past performance and common pitfalls is a critical advantage for ensuring future projects’ success. However, data analysis goes beyond studying the past.

Current developments allow companies to assess possible outcomes based on history. It essentially looks at the future with a new perspective. That’s why you should consider integrating an AI intelligence & data forecasting solution ahead of your competitors.

1. Power plants: An excellent example

POWER Magazine has a fantastic article detailing how data analysis is invaluable for power plants. Essentially, it explains that generating value from data is a new challenge, which can translate into noticeable developments in operational efficiency.

Power plants generate virtually endless amounts of data. It’s not different from industries like real estate. Leveraging this data enables them to analyze problems more extensively and optimize their operations as a result.

2. The principles apply to most industries

Most sectors generate significant data quantities today, especially with how many digital apps make up companies’ standard structure.

Real estate, healthcare, logistics, and other sectors can apply the same approach to optimize their processes. Data-led decision-making keeps gaining more ground as managers realize its benefits.

3. What should you keep in mind?

Any company needs to realize the information they can gain from data, even from past failures. It would help if you had a centralized dashboard to keep all this information at hand.

Additionally, it would be outstanding if you considered integrating advanced automation scripts. They streamline data management, organization, and accuracy.

What does all of that mean for you?

We can simplify these trends' consequences as the need for digital adoption. Leveraging data availability today goes beyond a competitive edge. It's becoming the standard for numerous sectors, and neglecting it means handicapping your business.

Our main recommendation is to embrace a digital adoption strategy and execute it effectively. Most software solutions for business and project management offer these advantages.

Yes, it means a prominent investment. However, the benefits you can reap from these solutions are worth more than any project. That’s particularly obvious when we consider the market’s rapid standardization of these methodologies.

The need for a professional technological partner

Lack of expertise is one of the primary reasons why tech implementation is challenging. Most companies have a general idea of what they need. Regardless, they lack the experience and knowledge necessary to translate those ideas into tangible outcomes.

Want to Streamline Your Business Workflow?

If you’re considering implementing new technology to attain these benefits, make sure to contact us for expert consultancy and solutions. The Assetsoft team can help you find the right ERP for your business. Know how ERP integration will help you get better results, and how you can make data integration between various departments simpler.

Talk to us to know how we will help you find the right technology and integrate the ideal solutions for your company.

How Can Big Data Help Change The Commercial Real Estate Industry In 2021?

Sun, 07 Mar 2021 20:00:00 -0500

Big data has turned into one of our clients' most common service requests, particularly with solutions like AI data forecasting. This year's outlook includes significant developments in this technology.

2021 also promises lots regarding COVID-19 recovery. When combined with the right strategy and skills, 2021 can be crucial for commercial real estate. That's why we're dissecting big data and what it can do for commercial property managers.

Big data and 2021: Why should you care?

People believe big data is significantly more complicated than it is. Most digital marketers agree that big data merely refers to prominent volumes of data. It doesn’t matter whether it’s generated from people or machines.

Leveraging this data is vital for decision-making, especially since it’s readily available. Every smartphone user generates gigantic quantities of data. That’s why social media and other platforms can offer accurate ads depending on every user’s preferences.

Is real estate lagging?

There's a common belief that the real estate sector has been neglecting big data. Common arguments include how eCommerce and advertising platforms have revolutionized their industries with this. However, that isn't true.

Standard big data implementation methods from these sectors are quite common in real estate. The most advanced companies use big data to communicate with their customers, send them notifications, streamlining processes, and tracking performance.

Today, most property management apps, like Yardi or MRI, utilize big data in the same way. That includes advanced automation integration.

Popular applications of big data

As you might have inferred, big data is already vital in many aspects. Once we start considering businesses and organizations, the scope grows exponentially. Influential companies can leverage this information to improve their operations.

Even governments take advantage of big data to improve administration and security. Understanding how companies and states are using this technology is a significant step. It sheds light on how you can leverage this technology to boost your recovery in 2021.

Security policy

Big data analysis is a primary advantage for security when focused on historical and geographical data. States are already doing so: utilizing big data to reduce crime rates.

For companies, that means they can assess the security risks tied to their properties, investments, and even offices.

Traveling

Traveling is another industry that takes advantage of big data, but any company can do the same. Property management firms can estimate budgets for necessary travels.

There's already specialized software for helping companies manage their traveling needs. SAP Concur is an excellent example of the latter.

Risk detection

Detecting risks was one of the first applications of data analytics in general. That’s true for fraud, bad investments, and anything resulting in financial loss.

Property management firms can use big data to assess how certain risky investments can be. It's even useful for evaluating specific demographics when analyzing prospective tenants.

Risk management

Once someone identifies risks, management becomes more straightforward. Analyzing big data also allows companies to analyze which decisions are more advantageous in these cases.

Historic data presents a deep insight into how other companies resolved similar issues in the past. It can be a critical benefit.

Logistic efficiency

Delivering logistic services, especially amid COVID-19, can be tedious and complicated. Big data allows logistic operations to optimize their processes.

Big data allows companies to find the best routes for delivering resources, building materials, and more. That’s why Procore and other apps are efficient.

Internet provision

Big data has played a vital role in enabling people to know which internet providers work better in various locations. Why does this matter? Because it changes property values.

The internet is invaluable in today’s society. Many tenants will turn down lease agreements or property purchases if the internet isn’t good in the area.

Financial management

Finally, proper expense management is the difference between optimizing profits and investing money for no returns.

Analyzing big data lets companies pay more attention to the ideal investment opportunities. Big data is excellent for analyzing the actual returns from investments,

What trends should you keep an eye on?

Now, big data is technically just a concept. Sure, you can implement data volumes to improve your company, but how do you do so? Big data isn’t a technique or software you can integrate into your company.

So far, big data has been vital for innovations like machine learning. However, several interesting trends in big data implementation have been growing recently. 2021 could be the year where significant developments start occurring, so don’t lose track of these trends.

Augmented analytics

Augmented analytics allows AI-related tools to increase their capabilities. It's an integration between machine learning and traditional AI scripting to prepare, analyze, and produce insight from data analytics. It improves data management, reducing the time it takes to leverage data for businesses.

Continuous intelligence

Continuous intelligence is integrating real-time data analysis for ongoing business processes. The article states that real-time analytics will be a primary driver for businesses by 2022. This technology allows firms to leverage the latest data as soon as it's available.

DataOps

DataOps is the data version for DevOps: same direction with a different focus. It focuses on integrating data via collaboration throughout the organization. It reduces the time and effort it takes to produce, analyze, and implement data insight.

In-memory computation

In-memory computation is similar to continuous intelligence: it speeds up analytics by eliminating disks' dependency on data. It bases all data flows from RAM storage, determined to be over 100 times quicker than the traditional method.

Edge computing

Edge computing distributes computing frameworks to locate computations closer to data sources. The goal is to ensure the lowest latency and best scalability as cloud analytic solutions become more popular.

Data governance

Data governance focuses on optimizing information usage within companies and organizations. It deals with data security, management, and integrity. It ensures companies have access to the most reliable data available.

Data virtualization

Finally, data virtualization compiles all the data from companies spread across multiple systems and platforms. It ensures all this data is readily accessible from a central source for better governance and deliverability.

Is its value increasing?

As we mentioned, big data isn't new to real estate. Many companies have leveraged this information for several years now. Even experts like JLL have reported the value big data can offer to real estate as far back as 2019.

According to the article, big data has played a vital role in tailoring investment experience. Today's efficiency for storing and analyzing data enables all parties to understand the features, risks, and opportunities in all property investments.

The article also details how innovations like mobile communications and the Internet of Things have driven big data significantly. The relationship between big data and the IoT is symbiotic, and the latter has already proven its place in real estate.

In essence, the article from JLL explains that big data is rapidly increasing in value. That holds for all industries implementing it. Given how COVID-19 has battered commercial real estate, no one should overlook the value this brings.

During the coronavirus’ recovery, understanding which markets are doing better is a critical advantage. It can make the difference between adapting to the new world or remaining in a recession.

Is big data already the industry?

Finally, this overview of big data's real estate implications from Intellectyx offers excellent insight into the subject. Big data is a benefit in its own right, but the advantages it brings are vital for commercial real estate. That's crucial in a post-coronavirus economy.

However, big data is as beneficial as you can leverage it. Therefore, let’s close the article by going with some of the most considerable advantages big data brings to commercial real estate.

Investment evaluation

Big data analytics is vital for investors to investigate whether or not an investment opportunity is worth the money. That's true for both companies and individuals, as big data is excellent for promoting transparency. Knowing which properties to buy is easier than ever.

Improving operations

Tenants and buyers can feel safer with the investments offered by your company. Real estate developers can also promote their offers via transparency and showcasing their customer-first approach. Providing all the information your clients need is the best way to attract them.

Better management

Property managers benefit from big data because it enables them to access all the analytics reflecting the company’s performance. It shows room for improvement, current and potential losses, and countless other vital factors for optimizing management.

Risk mitigation

As COVID-19 begins to give way to recovery, taking risks becomes considerably more dangerous. It can make a world of difference on whether or not a company recovers to pre-coronavirus levels. Big data allows firms to identify which of these risks are worth taking.

Understanding demographics

Finally, big data lets you understand the best audience for your offers. You can identify the best prospective tenants, buyers, and even resources for hiring. Knowing what to aim for is ideal for ensuring a company’s profitability.