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3 Tips to Maximize Cybersecurity Value



3 Tips to Maximize Cybersecurity Value

Cybersecurity continues to be a major focus for organizations and business leaders.

Here are my 3 tips to strategically enhance a cybersecurity team’s long-term value-proposition to the organization.


It comes down to three tiers of progress. Build, Compare, and Compete.

First, we must build a sustainably effective, comprehensive, and highly efficient cybersecurity capability. This is the most important step that every cybersecurity leader works towards on a daily basis. 

Although the core of this work is fundamental to our operational existence, we need to pay attention to aspects often ignored, including the concept of aligning efficiency to financial optimizations and disproportionate resource allocation weighted to the most likely attacks. It is also crucial to see cybersecurity as a never-ending endeavor that must be incorporated into the overall everyday business processes and goals.

Sustainability is another key objective that is often overlooked while distracted by short-term battles. CISOs must plan for financial constraints, evolving threats, shifting technology landscapes, confusing regulations, and rising expectations of security to ensure longevity. Cybersecurity cannot continue to impose ever greater expense, friction, and frustration on the organization. A breaking point will be reached if proper strategic planning is not employed.

Second, and this is where we diverge from what most CISOs focus upon, is about Comparing your organization to others in your sector. We must understand the attacker’s perspective. When they look for their next victim, they are evaluating who is best to target. By looking at your organization in contrast to others, you can understand how you appear in the landscape, and if you are in the pack or falling behind.  You don’t want to be the easy prey. 


Third, cybersecurity in operations, products, and services is becoming a Competitive advantage in many fields. The expectation of digital security, privacy, and safety, is rising as a purchase and loyalty factor with consumers.  This is where cybersecurity can help the organization compete and therefore contribute to fulfilling the business goals (like revenue, market share, upselling, and more). 

Cybersecurity can be a differentiating factor in many ways, including non-traditional competition. Savvy companies like Apple and Microsoft are maneuvering to improve their bottom line! Cybersecurity has the opportunity to not only enable, but contribute to corporate goals. Explore the potential and align as necessary to deliver value in new ways!

Those are my 3 high-level tips to maximize cybersecurity value.  By achieving success in these domains, you will be far ahead of others in being able to communicate sustainability and value for your cybersecurity program.


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The Role of Big Data Analytics in Accounting



The Role of Big Data Analytics in Accounting

Companies generate enormous amounts of data that need to be processed to produce readable insights and outcomes.

Big data analytics in accounting is a game-changer as it’s improving risk identification and real-time access to data and reporting.

More firms are increasingly adopting newer technologies to make them more efficient. This includes blockchain, artificial intelligence, machine learning, robotic process automation, data analytics, etc. The use of traditional accounting has disrupted the world of accounting, but with the onset of big data analytics, it has gone leaps and bounds, tapping into the untapped potential of any business.

Use Cases of Big Data Analytics in Accounting


Businesses accumulate tremendous amounts of data that could go into petabytes and zettabytes. The accounting function in any organization records all types of financial and non-financial transactions, collects them and analyzes them using predictive models to find actionable insights. Data analytics is all about making sense of the data received and thus, it takes away the hassle of traditional accounting. Let’s dive into why you would need to transition your business from using conventional to big data analytics.

1. Real-time Reporting

One of the biggest USPs of using big data analytics in accounting is its real-time reporting functionality. Most of the analytical tools available today are cloud-based, making real-time insights and reporting more accessible than ever. As big data deals with a trove of data, it crunches historical data in terabytes and even petabytes to find actionable insights.

2. Real-time Access

Another characteristic of using data analytics in accounting is real-time access. As it is cloud-based, it has the upper hand in timers of data visibility across different functions in an organization. It can be accessed concurrently, and different users can have different privileges for access.

Apart from that, the data syncs so that the changes made in one node are easily accessible on other nodes. This improved access to information in real-time with transparency makes decision-making easier.


3. Risk Identification and Mitigation

Certain risk factors can prevent a business from outperforming the revenue it hit last quarter or against the rival. Big data can help find risks associated with financial services, such as the supply chain, fraudulent transactions or activities, liquidity, data breach, etc. Businesses can use all the data and add it to various algorithms to anticipate or predict possible outcomes or track fraudulent activities in the books. As accountants can now find errors and risks sooner, the chances of propagating from the point of no return diminish.

4. Data Visualization

Making sense of voluminous data is impossible without using tools such as Tableau. It is a heavily used data visualization tool for big data as it helps find the flow, pattern and irregularities in the dataset. Analyzing the visualized data can assist in making business decisions and strategies needed to adhere to in the future.


Big data analytics in accounting can be a significant driving force toward many use cases. It includes predicting sales performance on food, travel, hospitality and others across different data sources, such as, Yelp, etc. It can reduce downtime and operational costs thanks to monitoring IoT sensor data.

Companies can use data analytics in accounting to zero fraudulent activities. Optimizing labor and staff requirements is another chunk of issue that can be curbed using big data based on prediction analysis.

Organizations worldwide are leveraging the power of big data analytics in accounting over the traditional approach. It is because of the many benefits that it brings to the table, including real-time data access and reporting, data visualization, data audits, and others.

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