Tag Archive : Big Data Analytics

/ Big Data Analytics

Going by market analysis, Data Analytics has played a vital role in the e-Commerce ecosystem and will continue to be the major game-changer.

Thanks to the rising need in a short period of time, the frequent use of Data Analytics in all major departments like Marketing, IT, Operations, etc. became crucial to process potential clients and market data to adopt strategic strategies that will eventually lead to providing services successfully.

That’s why experts say:

“Without Data, you are just another person with an opinion”

Numbers speak it all

  • More than 75% of companies using Predictive Analytics data experienced higher sales
  • 66% of customers feel annoyed when irrelevant offers are sent to them due to lack of relevant data
  • 65% increase in business margins with the use of relevant data
  • 48% of shoppers are more likely to shop on personalized recommendations offers

Data Analytics a Boon for E commerce 4.0

It is no Rocket Science to analyze the fact that customer demand will evolve rapidly in the days to come, and this change will be responded by sellers using AI in a bid to comprehend the demand or what customers would want.

Here are the top 4 ways how Data Analytics will respond to the changing dynamics of eCommerce 4.0 for good:

1. Improved Shopping Pattern observation- Using Big Data Analytics can help sellers to available at the moment, demand spike, etc.

2. Anticipate future operation strategies– Using Big Data Analytics helps sellers manage business operations better, be it inventory, demand forecasting, supply chain, pricing or sales strategies. 

Also, using Big Data Case studies will give a seller a thorough understanding of different business operations and the inevitable problems they involve.

3. More spotlight on Micro-Moments– Successful sellers can leverage this hottest trend for quick actions like- I want to buy, I want to know, I want to go, etc. to predict customer tendencies and action patterns.

4. Improved Online Payment functions– More than 51% of e-Commerce sales are done via mobile platforms as per statistics. This means online payment options need to be more secure and safe than ever before. 

Using Big Data Analytics can help the detection of fraudulent activities and securing of payment gateway by centralizing it into one platform and making it easy for clients.

Analyzing massive Data Sets will not only do wonders for e-Commerce businesses but customers too. 

E-Commerce companies will use data-driven insights to enhance the way customer demands are met and will revolutionize the buying and selling ecosystem.

If you too are a fan of Data Analytics and understand its relevance in your business, get in touch with the professionals at SPIN Strategy and welcome strategic planning and increased ROI for your business, today.Visit: SPIN 

 

Cyber attack! That’s the term that has possibly become a nightmare for businesses these days.

Time to control such exposed threats has stepped in. With a joint effort of technology and Cyber Security Programs, the avalanche of data making its way towards you can be managed.

Cyber attacks are prevalent and spare not a single sector that has an online presence.

The upsurge in dependency on networks, information, control systems. And the surge in the technological and organizational finesse of hackers boils down to only one thing- the higher risk of cyber attackers.

The number of sophisticated cyber attacks is rising. And the thriving role of vicious insiders in recent large-scale security breaches clearly indicate the need for data breach response plan.

Point to note- such a plan should offer more than a traditional approach and should actually keep up.

Time has changed

Change is prevalent, and cyber security concepts are no exception.

With time, the focus from safeguarding physical assets like stock or offices has shifted. Shifted to technology and software systems.
The primary motive behind this paradigm shift is to shield and go to bat for a business digital property.

Riding along with this transformational wave, companies have understood the need to re-strategize their cybersecurity. Analytics has emerged as the main bargaining chip when it comes to cyber resilience. All thanks to the persistent and highly advanced attacks.

And thanks to the adoption of Analytics, PDR (Prevent-Detect-Respond) has come to the picture. The below-mentioned bullet points will give a brief overview. This overview entails how cybersecurity analytics will bring the ball in your court.
• Detects infections, attacks, intrusions in seconds
• Transforms record of activity and volumes of raw unstructured data in meaningful actionable insights
• Gives an appropriate decision about the breach, its probable impact, and action to be taken.
• Instant response to detecting the infection, prevents data loss and averts outward intrusion.

How Big Data Analytics can help combat cyber data breach?

It is truly ironic that it is data, which is getting poached or stolen and it is only data that can put an end to such business ending breaches. All a business needs to do is to be able to use data in the right manner, and this process is called Big Data Analytics.

Here is a detailed summary of how such analytics can be the right fuel for cybersecurity programs. It can change the game for your business, and you can bid ‘TATA’ to online threats almost forever.

• Detect abnormality in device behavior
Off late, in many cases, it has been noticed that employee device is often used as the tool or podium to implant a Trojan horse.  And eventually, lay hands on important data of the company.

The good news is, it can be stopped by incorporating Big Data into the system.

• Identify anomalies in the network
With the help of Big Data, it is possible to find out the new lurking threats. If that’s not enough, Analytics correlates with the data available. This helps to draw a conclusion about the very nature of the attack.

• Analyses and identifies the network vulnerabilities
One of the most commendable approaches of Big Data Analytics is to devour the data. After that examine it and figure out which database has the customer identifying information and how prone it is to prevailing risks. Big data also shut the door on any potential source of risk for the online presence of a company.

Big Data Operationalization Benefits

Hard to admit, but it is true that identifying potential risks is not going to shun away the peril in question. It is imperative to derive the true value of Big Data insights to drive the required actions with relevant departments.

Being armed with operationalization capabilities, which can shift the data, locate the right signals and then drive the right action, is the need of the hour.

In tune with this, recently Oracle has waged a war against cyber threats with its Gen 2 Autonomous Cloud Infrastructure in a bid to ignite the fire of battling with cyber demons.

If you too are a victim of Cyber Threats and is convinced that only Big Data Analytics can come to your rescue, contact SPIN for your next move and provide the life-long security your organization deserves.