Our experts provide consultation services for Big Data Use Cases to help you utilise best practices and find ideal solutions. We get a complete understanding of your use case requirements, share our Big Data experience and industry specific knowledge, and use our skills to help you identify the best solution for your business.
During this free one-hour consultation, we will:
- Gain a complete understanding your use case requirements
- Bring industry specific knowledge and expertise
- Share our previous experience and learnings
- Provide specific Big Data Use Case solution options
Sign up and get a FREE one-hour consultation with our industry experts today.
Big Data has opened up new possibilities in terms of analytics and security solutions. If you’ve been exploring cybersecurity solutions then you’re most likely familiar with the Big Data Use Case for Cybersecurity which requires high volume, velocity and a variety of data. A cybersecurity monitoring service is an ideal candidate for a Big Data implementation.
Cybersecurity is a real threat so it needs to be left to the experts; finding a trusted Big Data services provider to support your Cybersecurity around the clock is key. The challenge starts from orchestrating the data feed from edge devices to the platform securely. Processing the data in real-time and analysing it to identify threats and detecting abnormal behaviours. Leveraging machine learning technology is how we help our customers effectively manage their cybersecurity.
Skillfield is trusted by Australia’s largest managed security service provider to build and operate their cybersecurity monitoring service. We’ve proven that we have the skills and expertise to build and operate your security monitoring service leveraging Big Data. Our approach starts from identifying your requirements, sources and network topology. Then developing detections based on our modelling process, through which we identify the key assets that need to be protected and potential threats.
Skillfield enables real-time data processing and access of security threats; data is intelligently organised and stored, leading to improved productivity while monitoring. By unlocking the potential of the Big Data platform, we offer personalised detection to fit our customer’s needs, and advanced machine learning-based analytics to reduce false positives.
Achieving operational excellence can’t be done without employee buy-in. Lowering operational risk and costs, while increasing revenue and value for stakeholders are all elements of achieving operational excellence. Ensuring every employee aligns to these goals and contributes is critical to achieving them.
In order to communicate expectations and shortfalls to employees, metrics and statistics, like the number of clicks on a website or a customer retention rate, are used by management to quantify operational performance. Accessing this data is easy, selecting the right data and communicating it in a meaningful way is the challenge. The sheer volume of data that’s available means that it’s complex and difficult to collect and manage, so skilled data analysts are required to deliver valuable information from Big Data sources.
At Skillfield, we automate the process of extracting and parsing data from daily operations, saving you time when collecting and preparing data. Our team also eliminates data inconsistencies by organising it in a unified format. We’ll improve your reporting capabilities by creating multiple monitoring dashboards and reports (operational or analytical), which are customised to relevant KPIs.
Making metrics more visible means stakeholders can make informed decisions when comparing with benchmarks. Using dashboards and reports on a real-time basis enables management to take actions quickly, unlocking opportunities to maintain continuous improvement and operate efficiently.
Machine Learning (ML) in Customer Engagement
Building an emotional bond with your customers will lead to stronger customer loyalty and increased revenue. Understanding your customers and providing a quality customer experience acts as the solid foundation to an effective customer engagement strategy.
Customers are seeking a personalised experience and prefer to be engaged and served on an individual level. However, collecting and analysing large amounts of individual customer data manually isn’t feasible, nor is it realistic.
That’s where our machine learning-based solutions provide an efficient, practical way of collecting and analysing individual customer data. By using historical data relating to customer behaviour, we help you gain insights into what influences your customer’s decision making. With advanced algorithms, we can help you predict possible customer behaviour and purchasing transactions by knowing and understanding their purchase expectations.
Our ML technology also captures key words in customer feedback, so you can identify risks of losing customers and take actions to reduce this risk. For example, semantic analysis is used to understand customer sentiments from product reviews.
Choosing Skillfield means that you gain significant advantages with our ML technologies. Analysing customer behaviour paves the way to fully understanding your customers, and providing a personalised service, leading to higher customer retention.
By making decisions based on advanced analytics, you have the ability to develop scalable customer engagement strategies to maintain competitive advantage.
IoT, Security and Analytics are the pillars of every modern industry. While most organisations have the ability to deploy IoT Applications, they struggle when it comes to meaningful analytics.
Ingesting, processing and generating meaningful information from huge amounts of data is a challenge for many organisations. Around 85% of the IoT projects worldwide are put on hold due to the lack in capabilities and huge costs associated with managing big data sets. For example, an average connected car solution generates about 10GB of data every single day.
We don’t just have the skills to manage huge amounts of data, but we also have the expertise to efficiently process and provide meaningful visualisations and monitoring based on the data. Skillfield will provide your business with tailored IoT Big Data capabilities in an agile and flexible manner, helping you manage huge amounts of data.
We have a proven track record of lowering data processing and data analytics costs; our advanced skills and experience quickly deliver high volume Big Data solutions to market, which is critical for IoT.
Complying with both internal and external information management rules and is major challenge when it comes to Big Data projects.
At Skillfield, we have an understanding of the most common information management standards, like the Australian ISM, the New Zealand TaaS by DIA and HIPAA, among others. We appreciate that some of these standards were designed for legacy systems and need to be translated to the new DevOps world.
We follow a progressive approach to identify what needs to be done in order for you to comply with the standard requirements, what can be mitigated and what can be accepted as a risk. We take full accountability for implementing these recommendations based on our in-depth compliance knowledge.
Our specialised team can implement the required corrections from both a process and technical implementation perspective. Some of the key wins that can be achieved as part of our Compliance Services include Security Hardening, Audit Logging, Disaster Recovery Plan, Vulnerability Management, Key Management, Change Management, Incident Management and Release Management, among others.
Improve the quality of your services and penetrate new markets such as government organisations, by meeting your compliance obligations with the Skillfield team.