Top 5 Benefits of a Data Warehouse

A data warehouse is a heterogeneous collection of data organized in a unified schema. All the information about the company’s activities is stored in one place. Many people are taking advantage of the data warehouse to analyse and harness the power of data efficiently.

Before we dig deeper about the benefits of a data warehouse, let’s get into the basics of a data warehouse.

What is a data warehouse?


A Data warehouse, also known as Enterprise Data Warehouse is the core component of business intelligence and can be used for data analysis and reporting. It helps organizations to use data strategically and make informed decisions.

It is an environment that provides users with current and historic information to support operations.

In short, the data warehouse syncs data from different sources and analyse it to generate better ROI.

Benefits of Data Warehouse

Having all the data gathered in one place is one of the biggest benefits of a data warehouse. It is a great solution for centralizing your business data. From boosting the efficiency to improving the quality of information – you can make the data work in a better way.

Improved access

For many organizations, the information systems comprises of multiple subsystems that are not only physically separate but built on separate platforms. A robust BI platform can provide an effective data management solution by consolidating enterprise data into a single data repository.

In the absence of a data warehouse, you would need to combine data using different tools to make better and informed business decisions.
If your data is located at a centralized location, it would be easier to analyse the data. For many businesses,

Speed and performance

Business Intelligence (BI) requires high quality and standardized data in real-time for data mining. A data warehouse solves the ongoing problem of pulling data out of transaction systems and converting it into actionable information. Businesses will realize numerous improvements upon successful implementation of the data warehouse.

A data warehouse takes off large system load from the operational environment and distribute the system load across the entire organization’s infrastructure.

Quality and consistency

A typical data warehouse helps organizations to convert data from multiple sources and transforms it into a common format. This approach removes the inconsistency in data from a unique source system. Additionally, individual departments and units of the organization will start to utilize the same data repository for generating individual reports. Consistent reports from various departments of the organization help in understanding the trends and identifying the mistakes.

In short, a data warehouse helps in integrating a high amount of data – eventually reducing stress on the systems.

Time-efficiency

Data warehouse enables the decision-makers in the organization to quickly access crucial information from different sources. Using centralized data, one can make efficient decisions quickly without wasting time in collecting data from multiple sources. As the data is stored in a centralized repository, business executives no longer need support from IT teams to bring up data and execute operations.

High ROI

Implementation of a data warehouse will help businesses generate high revenue and decrease expenses. Data is a strategic asset for your organization that can be trusted only when it is consistent and high in quality. With the increasing demand for AI technologies to automatically generate recommendations from data – data accuracy is vital.

Whether it is on-premises or cloud data warehouse – the right architecture will enable a high return on investment by uncovering meaningful insights.

Conclusion

A data warehouse is a viable option for businesses that want their data to be stored in separate categories. More than 56% of organizations deploy data warehouse technology and get benefits such as – vendor lock-in capabilities, workload management etc.

Get in touch with us to inspect, clean and model your company data to make valuable business-oriented conclusions.

Advanced Persistent Threat Protection – 4 Ways to Prevent APT attacks

Cyber attacks are becoming quite common, regardless of the size of the organization. The number of cyber crimes is increasing at a significant rate every year. In 2020 alone, the cost of a data breach in India amounted to nearly 2 million U.S dollars.

According to sources, the malicious attacks accounted for 55% of the total breach, 25% of technical glitches and 21% of breaches due to human error. In short, data breaches pose a greater risk for companies.

But, there’s even a bigger threat that is taking over the cyber world – Advanced Persistent Threat (APT). According to 
Cloud Adoption & Priorities Survey Report, 54% of IT companies see APT as one of the security issues.

What is Advanced Persistent Threat (APT)?

Advanced Persistent Threat is one of the dangerous enemies that infiltrate your organization. It is a long term attack that is meant to locate and exploit high sensitive information.

The hackers get into the system network and spend a lot of time monitoring your activities, keystrokes, data etc. The targets can include small, medium, and large organizations that deal with highly confidential data.

One should know that the hackers may initiate the attacks using advanced and persistent methods. They may use cutting edge technologies and hacking methods like – phishing, man-in-middle attacks and adware to sneak into your organization to achieve their objective.

Must Read – 5 Types of Cyber Attacks That you are Likely to face in 2021

 

Best Practices for Advanced Persistent Threat Protection

Well, Advanced Persistent Threats (APTs) are difficult to detect and involve multiple stages. A combination of warnings signs can help you protect against these attacks. However, it is crucial to partner with expert Cyber Security Company to eliminate and leverage these attacks.

In addition to constant monitoring, you need multiple layers of security working together.

Here are some of the best practices for advanced persistent threat protection –

Traffic monitoring

Monitoring the incoming and outgoing traffic is one of the best practices to prevent the installation of malicious programs. By monitoring the traffic, one can alert the security personnel to any unusual behaviour or malicious program.

A web application deployed on the edge of the network filters the traffic and thereby preventing application-layer attacks like SQL Injections, RFI etc.

Internal traffic monitoring services can help detect the backdoor shells and signal an APT attack.

Firewall installation

Installing a firewall is the first step of defense against APT attacks. There are 3 types of firewalls used – software, hardware and cloud firewalls that can help you prevent advanced persistent threats. When seen from the attacker’s point of view, ‘APT’ occurs in multiple stages – 1) malware infects the victim 2) APT downloaded by the victim 3) APT decides how far to spread 4) APT achieve its goal

A DNS firewall can block APT at any one of the above stages. It will also help block many infections by blocking the initial dropper. The DNS does allow for a timely response and ensures that the threat is no longer ‘Persistent’. As mentioned, the DNS helps in reducing the risk of data loss or damage due to APT.

Enabling email protection

Today, more and more businesses rely on the internet for remote working. To prevent APT and other forms of cyberattacks, organizations must enable email protection. With the widespread transition from cloud to the server or vice-versa – hosted email providers have become a target for cyber criminals.

Protect the domain and emails with IP shielding that honours the SMTP sessions. Use SMTP authentication to secure outbound email. Also, one should enable SSL to ensure data privacy for SMTP and HTTP.

Strict Access Control

Well, employees are the vulnerable points in the security perimeter. The hackers often try to turn them into an easy gateway. The best way to protect against malicious attacks is to rely on the Zero Trust Policy that limits access level. You will grant access to limited resources that are required to perform a particular action.

Another measure is the two-factor authentication (2FA) that requires the users to provide a second form of verification – especially when accessing confidential data or high-priority information.

Conclusion

The bottom line is – an effective APT protection strategy requires a combination of different security measures. Remember that the standard security measures cannot effectively help you prevent the APT attack. It requires various defense tactics and collaboration between the security teams. You will need the advice of experts to protect your company from various IT security risks.

Amvion’s APT protection services include – brand protection, surface area monitoring, Defacement monitor for customer-facing web portals, surface attack enumerator, etc.

Get in touch with us to detect and defend against advanced cyber threats.

Top 4 Reasons why you need to say ‘YES’ to Data Analytics

The pandemic has brought a state of panic for the entire world. Businesses of all sizes are struggling to respond to the effects of pandemic Even in these difficult times, there is one thing that businesses can rely on – DATA. 

 

 

Data Analytics came into the picture – as businesses require an appropriate approach for better growth and performance. There are different ways to use data analytics to grow and sustain your business. Organizations can make use of data analytics to understand their customer behaviour and make better decisions.

 

 

The benefits in data analytics adoption is uniform across industries including – healthcare, retail, construction, financial, manufacturing, and automobile. These industries are more likely to have robust systems to support expanded use cases.

 

 

Here are some of the reasons why companies should consider investing in data analytics.

 

 

     1. Anticipate needs

 

 

Organizations are under competitive pressure to understand the customer needs and optimize the customer experience. Customers expect companies to provide a seamless customer experience across all touchpoints. Today, customers use multiple channels and hence digital sources must be bought together to understand customer behaviours.

 

 

AI-powered analytics can drive sales by helping organizations anticipate customer needs and exceed their expectations. By implementing the predictive analytics technique – retailers, financial institutions and manufacturing companies can predict and satisfy customer needs.

 

     2. Mitigate risk

 

 

Data analytics have made a significant contribution to the risk management of organizations. Data can be put to use to detect frauds in zero time. Besides, big data can help predict whether setting up a business in a particular location will be viable or not. From financial risk management to predict customer behaviour – data can be used in many ways.

 

 

The most widely used big data applications are the predictive models that prevent fraud prevention and analysis of user behaviour for risk management. Companies will be able to look into the future and mitigate risks in a better way with big data analytics.

 

 

     3. Personalize service

Companies can know their customer’s preferences and act on the data with effective personalization. Big data has the potential to lead to massive revenue increases. To successfully utilize big data in improving customer experience – you need to access the customer’s information like – purchase history, interest, preference etc.

 

 

Companies can personalize promotions by analysing the type of products your customers purchase and create recommendations based on size, colour and type of products they buy. This personalisation could be anything from a special offer/discount to product recommendations.

 

 

     4. Streamline operations

 

 

Data analytics has changed the way organizations collect, analyse and process different types of data. More and more companies invest in data analytics just because of the insights it offers to streamline business operations.

 

 

Companies can now accelerate the length of time it takes to complete certain activities and make changes instantly. You will be able to predict results with great precision using data analytics. This helps you to plan out the future steps to stimulate productivity and grow your business.

 

 

Conclusion 

 

 

Data-driven organizations are taking advantage of new tools to help them understand the benefits of data analytics to their customers, streamline business processes and make better decision about new opportunities and threats.

 

 

At present, there’s an opportunity to go ahead of the curve and implement the best data use cases for your business. 2021 will be another great year of data-driven innovations and analysis.

 

 

If you are looking for ways to use big data, the team at Amvion labs is here to help you. Contact us today to get started!