How Big Data Is Changing The Face Of Real Estate Market?

Big data is acting as a messenger of new tech age. Unfortunately, in the real estate industry, the market was
not quick to embrace the changes. But that has changed.

It is everywhere, and it evolves rapidly. Although it represents colossal information, it can’t be considered as
an asset. Despite that, it has become more and more accessible.

The technology is advancing rapidly and enables people in this industry to get a better understanding of what
influences competitiveness in this market.

Most platforms for real estate industry are now close to knowing the answer about what the property will be
worth in five to ten years. Big data plays a vital part in the market and has been the key to productivity. The
quality of information impacts how people make a decision.

Furthermore, it opens new doors that people aren’t aware of. The variables included consist of market
potential, consumer spending, and traffic volume, among others. But its goal is never about hoarding data.
Instead, it’s about analyzing and processing it.

You can use Rentberry,  for example, to automate rental tasks and analyze some trends. With real estate
platforms, investing in this industry is no longer as risky as it was before. A few years ago, you would need
tons of information and preparation just to close a deal for one client.

Through big data, you can identify areas in the market where growth will likely occur and identify areas that
you must avoid in the future. Apart from that, big data allows you to appraise a property easily. Although a
property’s value can easily fluctuate because of so many factors, you can now analyze and decide based on
the information you’ve gathered.

Searching data from search engines
Online searching has become a valuable tool for real estate agents. They can unveil patterns and find out
what people use in conducting research. The data will help you adjust your targeting and know those areas
where the demand is growing. It gives you a clear idea of what your potential clients might be looking for in
a property and what they can expect when they purchase a house.

However, real estate agents must not be caught off guard as people can now sniff out overpriced homes.
They can use those free resources to know the price rates of the houses in the neighborhood they wish to live.

Crowdsourcing is gaining traction around the world, and it’s expecting to cause changes in various business
areas, including the real estate industry.

It’s clear that big data causes a lot of changes on how people think about the real estate industry. However,
it’s full potential is yet to be unlocked.

The big data consists of billions of information, and the goal here is to know the meaning and patterns of
those details. It lowers the risk associated with real estate business while it empowers both agents and clients
to make an informed decision according to the facts and figures presented.

Real estate is a huge industry. More than 200,000 residential brokerage firms are operating in the US. Each
year, the industry earns a massive $235 billion. To maintain its success, it needs refinement by targeting the
right buyers when moving a property.

Refining in the real estate process requires a lot of data. As you target the right buyers, you need to know
who they are, where you can find them, how you contact them and when they wish to buy a property. In
other words, big data has become an invaluable tool in the industry.

Tracks and analysts building data

The real estate industry isn’t a static one. Homes, for example, change regularly and you might not know
about it. Big data allows you to track and analyze real-time building data. In that way, you can keep your
portfolios up-to- date. You can do so without having to check data on a regular basis manually.

Know who’s buying
Big data can also give you more detailed information about your potential buyers. You can see who’s buying
now and what they’re interested in. Then, other platforms will let you know the proper way to approach
them.

Collect financial information
You can find a platform that allows you to gather financial information in the real estate industry, particularly
in the commercial space. It must be a platform that centralizes data that are vital to lenders when they make
decisions about loans.

Adapt to the complexity of the market
The real estate market is complex. You’ll need more information about the location. Before you sell a
property, you have to know where it’s located and where it’s selling. A certain platform can do the gathering
of data and centralize it for brokers and agents. In that way, they don’t have to hunt the properties down
themselves.

The real estate industry requires data. But your company doesn’t have to establish a data center. You can just
use some platforms that use big data to make your job a lot easier. https://goo.gl/Lk2wq4 #DataScience #Cloud

SAP Continues Quest to Bust Data Management Myths

Earlier this year, SAP set out on a mission to better understand the biggest challenges organizations face by the ever-increasing complexity of data environments with the goal of passing along our findings to you.

Check out our Data 2020: State of Big Data study for results from more than 500 IT decision makers from enterprise-level companies representing several countries.

Today, we challenge you to test your knowledge with the launch of The Big Data Bluffing Game, a 10-part quiz designed to gauge just how well you know your stuff while simultaneously shedding light on some of the most common misconceptions in data management. Some topics you can anticipate tackling include:

* How much do regular data check-ups impact the health of your data?
* Which departments rank highest as data management stakeholders?
* And, where does the most challenging data to manage reside?

The quiz is a fun way to see how you stack up on your Big Data knowledge but the challenges are real. These are all-important questions to ask as companies’ struggle to manage and extract real value from complex data landscapes. In the last two years alone, more data has been created than in the previous 5,000, and this explosion of data has led to the proliferation of systems. The difficulty of overcoming these data silos and combining Big Data with data generated by enterprise systems and partners prevents businesses from being agile and capitalizing on the full value of data.

So study up, take the quiz, and don’t forget to challenge your colleagues for office bragging rights!

If you don’t fare so well, be sure to review the Data 2020: State of Big Data Infographic, based on the results of a SAP commissioned a report surveying  IT decision makers from enterprises- across the globe. And if you feel that your organization could benefit from a more consolidated, simple and highly scalable approach for data sharing, pipelining and governance, check out SAP Data Hub. http://bit.ly/2mNFJiI #SAP #SAPCloud #AI