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4 Industries Implementing Predictive Analytics Consulting Successfully, but How

Predictive Analytics Consulting provides you one of the most imperative tools to tackle zettabytes of business data and handle its analytics. Here are four industries that have successfully discovered substantial customs to use predictive analytics in a good manner.

Predictive Analytics Consulting provides you one of the most imperative tools to tackle zettabytes of business data and handle its analytics. Here are four industries that have successfully discovered substantial customs to use predictive analytics in a good manner.

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4 Industries Implementing Predictive Analytics

Consulting Successfully, but How?

Undoubtedly, data is ruling in the business world. The right data in the hands of

the right user can turn events upside down; help companies to realize the need of

their consumers, discover their weaknesses, find out wasted areas that require

multiple efforts and build predictive models to analyze the present to anticipated

future. Predictive Analytics Consulting provides you one of the most imperative

tools to tackle zettabytes of business data and handle its analytics. Here are four

industries that have successfully discovered substantial customs to use predictive

analytics in a good manner.

1. Healthcare

If you need an idea of how much data is generated in the healthcare industry,

think about the fact that U.S. hospitals alone estimate more than 36 Million

patient admittances' each year at a probable cost of about $1.1 trillion. In the

health and wellness industry, predictive modeling segments across the digital

clutter produced by millions of sick individuals to discoversignificantguides in the

pandemonium.


These observed patterns can help medical professionals to identify and

comprehendfrequent risk factors through bigger groups of patients and predict

the probability of patients emerging health issues. Predictive analytics has the

ability to provide information from these enormousdata resourcesto predict a

patient’s expected response to differenttreatments.

2. Retail and Enterprise Planning

It is now common to hear that giant retail companies like Amazon.com deploys

predictive modeling prospect customer requirements, demands and then

presents a suitable proposal. It’s getting more exciting as this technology is

becoming accessible to a great number of small e-commerce stores. A recent

estimate shows that big retailers have experienced a $1.7 trillion boost by

deploying data-driven business tools.

Enterprise Resource Planning (ERP) systems are an appropriate match for

predictive analytics. For instance, outside factors like disasters and climate

changes can impact buying activities. Drug companies can contrive several

months’ value of demands for antihistamine medicines used for hayfever far

before allergy season by considering the past sales data and present manner to

create future predictions.


3. Cybersecurity

Cybersecurity will exist as an obstacle in the digital world as criminals are

continually finding ways to invade digital systems. However, companies will also

keep creating profitable solutions to handle these threats. Building a new and

advanced system to keep hackers and fraudsters at bay is similar to throwing

down your armor and begging for a worthy adversary. Although predictive

analytics is considered as a powerful new addition to cybersecurity portfolios, too

many active cyber threats go undetected until it’s too late.

Predictive analytical models can study traffic and other signs in real-time, and

decipher better than any human whether the signs indicate an approaching or inprogress

cyber attack. This model is the ongoing mission of various public and

private institutions, including the Department of Homeland Security and

telecommunications companies.

4. Human Resources

Predictive Analytics can be successfully implemented in several tasks of HR, such

as retention, training and addressing company talent acquisitions. The

appropriate tools can help the company to identify the employees that are likely

to leave the company, even before they hand you a resignation notice.

Employee revenue in the organization is expensive, so comprising extra lead time

is a big deal. It means decision-makers don’t need to misuse their retention

efforts on the wrong people.

Prospecting the Data-Driven World with Predictive Analytics!

The extensive use of data in predictive analytics carries out several new types of

threats that are supposed to be in everyone’s notice, as well. Today’s

governments are lawfully getting more concerned about the politics of privacy.

Moreover, predictive analytics has also exposed itself as an influential tool in

these and some more industries for absolutely changing the game.


To gain more power from your BI solutions to tackle your company data and

generate meaningful insights, hire Predictive Analytics Consulting services to

support your future success. ExistBI has consultants in the US, UK and Europe,

contact them today.

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