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How to Deliver and Outstanding Customer Service in 2020

Customer Satisfaction 2020

 

Customer satisfaction is defined as a customer’s overall evaluation and experiences made with a certain business concerning its given products, the sales process, and the after- sale service. This overall satisfaction has a strong positive effect on customer loyalty intentions across a wide range of product and service categories (Gustafsson, 2005).

 

What a company thinks its customer wants is not necessarily the same as what they think they have to offer or they actually are offering to enhance their customer’s experiences (Hubert Rampersaud, 2001). In order to remain their positions and become the trendsetter in the new decade, companies must be careful enough if they are wondering what will affect customer experience (CX) or customer satisfaction in 2020.

 

A study by the American Society for Quality shows that 67% of customers leave a company because of an attitude of indifference on the part of a company employee, 22% leave a company because their loyalty isn’t rewarded, 34% of customers leave because of dissatisfaction with the product, 10% of customers leave for other reasons (death, relocation, etc.) and 99% of customers leave because of competitors and they believes that you don’t care about them.   Therefore, improving and personalizing customer experience is the top priority for over 55% of companies.

 

In order to have a continuous improvement of customer satisfaction, companies must respect a 4 steps cycle which starts with listening to voice and needs of customers then analyzing their comments, developing actions and at the end implementing. And to achieve a thorough customer satisfaction, companies need to implement good working condition for their employee’s satisfaction, which then will lead to loyal employees and by preparing all this, good production would be followed which will be influenced on customer satisfaction and retention by making them loyal.

 

More and more companies are implementing automation in their process for cost reduction related with customer services ‘human’ agents but a report from Forrester “Customer Service Chatbots Fail Consumers Today” shows that just 63% of consumers are satisfied with their experience with a chatbot”. Humans are still crucial to the service aspect of 2020 digital CX. They must work in collaboration with chatbots to provide the best customer experience possible.

 

Sometimes the key to your customer’s heart lies not so much in giving them what they ask for, but in anticipating what they will need and giving it to them before they ask. And you can do that by putting yourself in their shoes. Think about your memorable experiences that you’ve come across while shopping for a car, furniture, coffee, service etc. What needs and emptions you had while making a big purchase and how a company helped you or could help you to minimize your fears, make you feel appreciated and valued?

 

According to Accenture, 75% of consumers are more likely to purchase from a company that knows their name, their purchase history, and/or recommends items based on their purchase history. So, if you can guess and anticipate meeting your customer’s needs before they even know they need them, a greater success in achieving customer satisfaction and loyalty along with an enormous edge over any other competitor in your industry is guaranteed.

 

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IT Trend 2020: Hyper-Automation

IT Trend 2020: Hyper-Automation

Gartner Top 10 Strategic Technology Trends for 2020 have listed Hyper Automation as one of the biggest trends for 2020, as more and more enterprises are adopting automation in their work processes. Forrester has predicted that the global market for RPA services will hit US$7.7 billion next year and is expected to grow to US$12 billion in 2023. AI is increasing productivity through automation and is helping organizations derive meaning from ever-larger data sets.

 

Hyper-automation is the mixture of automation technologies that exist to expand and increase human capabilities by allowing organisations to automate more complex work with the help of robotic process automation (RPA) at its core, with artificial intelligence (AI), process mining, analytics, and other advanced tools that strengthen the ability to automate work. As defined by Gartner:

 

“Hyper-automation deals with the application of advanced technologies including artificial intelligence (AI) and machine learning (ML), to increasingly automate processes and augment humans.”

 

The adoption of Automation is helping organizations, that are data-driven, to be able to better respond to their customers’ demands, identify new business opportunities, improve their service delivery, eliminate all human errors, and reduce costs.  The idea is to automate more and more knowledge work, and engage everyone in an organization to be part of the transformation.

 

How is hyper automation important for enterprises in 2020?

 

Over 1 million knowledge-work jobs will be replaced in 2020 by software robotics, RPA, virtual agents and chatbots, and machine-learning-based decision management, predicts research firm Forrester in their new report, “Predictions 2020: Automation.”

Data Science, Analytics and Cognitive technologies are feeding RPA with the intelligence which is revolutionizing software automation in industries. Hyper automation offers a lot of benefits to the business by giving access to collaborative intelligence where humans and technology works side by side so that they can perform their roles optimally. As employees don’t need to perform repetitive tasks, they can be educated to work with automation tools, wisely and with intention, and learn the latest business and marketplace information through machine learning. They can also to taught how to interpret AI-enabled decision-making, find creative solutions to resolve problems and get more engaged with their jobs.

 

Simply put, once Hyper automation is incorporated into your business it will help to reduces human effort by doing a lot of work in lesser amount of time, reduce the risk of human errors as machines are calibrated for precision, improve the quality of jobs by eliminating deadly, exhausting, and dangerous for humans processes and leads to increased productivity and higher output.

 

But before any implementations, business must think and identify areas and processes where automation is really needed.  Business leaders must make a business plan and estimate the the return on investment, and of course train existing personnel to make the most of automation instead of thinking that automation will take their job.

 

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AI Trends: What can we expect from Artificial Intelligence in 2020

AI Trends: What can we expect from Artificial Intelligence in 2020

Artificial Intelligence became one of the most dominant topics in 2019 but, together with machine learning and data analytics, these technologies are continuously delivering practical applications and dramatic changes in many industries and are impacting our our daily life. We’re living in the age of automation, and thus, with the increasing spread of AI in almost all industries, the challenges are growing in addition to the areas of application. Therefore, it’s time to make our policies right in order to maximize the advantages without wasting any time.

 

Here below we’ve tries to demonstrate the application of AI shaping different industries in 2020:

 

  • Al in healthcare is not new but the field of health AI is superficially wide, from covering wellness to diagnostics to operational technologies, AI applications are also being integrated for administrative and clinical health care processes. In 2020 more and more AI-powered bots will be assisting with surgery, including heart, colorectal, and thoracic. AI will also be fulfilling its promise of helping the healthcare industry to manage their costly back-office problems and inefficiencies by providing patients and medical professionals automated digital medical records so they can get rid of stacks of folders with decades of health records. With the integration of electronic health record (EHR) technicians are using AI to help document, sort, and store records in digital form.

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  • According to a new report by Reports and Data, the global Artificial Intelligence (AI) in the Construction market is forecast to reach USD 4.51 Billion by 2026. The aim of AI in construction industry is to make the construction process faster, safer and more cost effective by reducing human error and better utilizing big data as even complex plumbing, mechanical and electrical tasks can be designed in 3D and can be worked through while planning, saving time and costs in the building stages.

 

  • Retail industry is not hidden by AI and it’ll keep revolutionizing the retail industry, from helping customers find the items through visual search to personalizing their entertainment experience through chatbots, maximizing sales via cross-selling, proving a better customer service. Also, in 2020, AI will keep helping retailers to understand their customers better via their buying patterns, interests and more, in order to allow them to target specific groups of customers, personalize their experience, and provide them only with the information that is relevant to them.

 

  • We are living in an era in which AI application are having major impact on every industry on the they do Human resources executives are implementing AI to improve HR functions, such as self-service transactions, recruiting and talent acquisition, payroll, reporting, access policies and procedures and they believe that merging AI into HR administration functions will benefit and improve the overall employee experience.

 

  • Human workforce may have limitation but machines can work on a continuous basis to ensure faster production of goods. IoT and AI have already been used in the manufacturing industry since long to assemble the products and revolutionizing mass production of goods and boosting the output of different industries. AI-driven robots can work 24-hours a day and help to drive mass production. Artificial intelligence can reduce the manufacturing operating expenditure and improve the productivity. The global artificial intelligence in manufacturing market size was $513.6 million in 2017, and is projected to reach $15,273.7 million in 2025, growing at a CAGR of 55.2%.

 

  • AI is bringing increasing transformations in the financial services and is changing the way services are delivered to customers by allowing more informed and tailored products and services, internal process efficiencies, higher cybersecurity and minimizing

 

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2020: Data Center Trends and Transformation

2020: Data Center Trends and Transformation

With the exponential growth in the amount of data, things are changing quickly for the data-center industry. International Data Corporation (IDC) estimates that worldwide data will grow to 79.4 zettabytes (ZB) by 2025. Since it is almost impossible for a company to increase its own data stores every year, they are increasingly turning to IT services from the cloud. Cloud adoption and the rise of hyperscale IT and cloud firms has driven demand, particularly for large-scale space, but also for innovation. Those cloud providers that can provide innovation, automation, scalability and flexibility and customization will be able to differentiate themselves from the competitors and survive in the long term.

 

Gartner predicts that, by 2022, 28% of spending in key IT segments will shift to the cloud, 41% of enterprises workload will be run on public cloud by 2020 with a split of 20% on private cloud and 22% on hybrid, according to Forbes.

 

To keep pace with complete digitization and survive long term, data center providers must:

 

  • Attract multiple hyperscale deployments to build their cloud ecosystem
  • Provide with innovation, automation, scalability and flexibility and customization
  • Have their data centers in multiple remote locations
  • Data-centers are well-equipped with backup solutions for all primary components, such as HVAC, fire, power, etc
  • Are equipped withdisaster recovery plans in case of mishaps, power failures, etc
  • Have an interconnection platform, or services beyond colocation
  • Are able to possesses a large ecosystem of clients/customers who are already interconnected.
  • Implement and respect European cloud data rules and regulations for secure digitization and networking
  • Being able to handle companies’ data, either it’s healthcare, mobility, banking or manuacturing, safely and efficiently in clouds
  • Provide a rapid upgrade
  • Are using up-to-date version of software and technology to protect company assets, along with a strong physical security, as the average cost of a cyber attack on data centers reached to $18.9 million, up from $8.9 million.
  • Are capable to respond to the accelerating demands of big cloud operators for more capacity, equipment designs, build approaches, and incremental power requirements and hyperscale option.
  • Are well organized to fight back with down-time in case of power issues with battery backup and onsite generators.

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This shows how important it is to select a data center that meets your business needs. The wrong data center could lead to issues with poor Internet service, limited scaling, security breaches and can be the reason to damage your company’s reputation. But, despite the checklist above, selecting data center is not as complicated as it may seem. When it comes to what data center you choose, the most important factor is the services offered, followed by proximity to your primary audience. The advantage of working with a good data center is getting all of the benefits of access and not having headaches of being responsible for any infrastructure.

 

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IOT – Business Transformation by 2025

 

Internet of Things connected devices installed base worldwide from 2015 to 2025

 

By 2025, International Data Corporation (IDC) estimates that worldwide data will grow to 79.4 zettabytes (ZB), generated by 41.6 billion connected IoT devices, or “things,”. To be noted that there were an estimated 22 billion internet of things (IoT) connected devices in use around the world by the end of 2018.

 

This exponential  growth in the amount of data is explained by the growth in the number of connected devices, no matter of what size they are, they are everywhere in our daily life such as smart appliances (stoves, refrigerators, washers and dryers, coffee machines, slow cookers), Smart security systems, smart locks, and smart doorbells), Smart home hubs (that control lighting, home heating and cooling, etc.), Smart assistants (like Amazon Alexa or Apple’s Siri), Fitness and health trackers, sleep trackers, and smart scales, videos surveillance cameras etc. Thus, the link between the data creation and smart devices is obvious. Data is not only being gathered by smart home and smart surveillance but also via industrial and medical IOT as well by creating an increasing demand of the IT infrastructures, therefore more and more enterprises and service providers are now looking at IoT as a powerful source to drive digital transformation and to unlock the operational efficiencies.

 

IDC forecasts that the amount of data created by these connected IOT smart devices will reach to an annual growth CAGR (Compound Annual Growth Rate) of 28.7% between 2018-2020. This data is sent directly by sensors or via gateways to centralized platforms that gather, process, store, analyse and visualize this data to create insights and improve operational efficiencies of processes. Advances in AI and real-time communication are the main cause of this exponential growth in IOT. Enterprises are extracting a maximum of advantage from the data generated by IOT for better and faster decision-making, predictive analytics and automation of workforce. These digital transformations are bringing them numerous benefits such as higher productivity, GDP growth, improved corporate performance, and new prosperity.

 

IOT is not only shaping our lives but changing the traditional legacy business at a rate of change never seen before in history. Empowered by exponential increase in AI, computing power and availability of large amount of data, machines are fast learning to become workforce of future in several areas. As machines and products have started communicating with each other without any human intervention, the real value of data is getting generated and helping business leaders in better and faster decision-making, predictive analytics and automation.

 

In addition to that, 5G will reshape IOT and smart devices by boosting the speed, coverage and responsiveness of wireless networks. According to Aleksander Poniewierski, EY Global IoT Leader and partner, “IoT cannot thrive without effective and affordable wireless connectivity, interoperability and common standards. We believe 5G has the potential to make a ground-breaking impact on the way in which future IoT ecosystems are designed, especially in the areas of scalability, latency, reliability, security and the level of individual control on connectivity parameters.”

 

As IOT adoption in enterprises will reach to 65% in 2020, a 35% increase from 2017, IT and business leaders need to consider the extent to which they can use IOT to improve ROI, market competitiveness, and brand differentiation. They must be able to build digital security around potential sensitive personal and corporate data.

 

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Malware: Is it Risk-free to Connect External Devices to your computer?

Risks of Connecting External Devices to your computer

Malware is one of the most frequently encountered cyberthreat and somehow involved in 30% of all data breach incidents, reported by ENISA Threat Landscape Report. While organizations are interconnected more than ever before, malware is growing rapidly on mobile threat landscape. Companies are giving access to remote data in order to enable their employees to perform their work anywhere they want, using devices such as smartphones, tablets and laptops.

 

Even if employees don’t have their office device (laptop) with them, they are given the flexibility to use external devices and removable media with data on it to complete their daily business operations regardless of their physical location. But these external devices can act as a gateway to malware and data theft, if employees have access to copy company’s sensitive data to removable device, this data can come out of the company’s control and protection. In addition to that USB drives can be use to steal data or compromise systems by malicious insiders, without companies realizing the problem in good time. For this reason, device control is an important part of data security. Using simple storage media may seem us harmless, but according to Safetica, 80% of businesses experience a security incident every year with an average cost of a data breach of $4 million which leads to 2/3 of small companies to go out of business within 6 months of a major data breach. In addition to that, TechAdvisory.org reports that 25 % of malware (malicious programs) is spread today through USB devices. Once they are connected to the USB port of any computer and contains malware, your pc can easily get attacked from those viruses.

 

In order to avoid any loss of information and a malware attack, companies and employees must pay attention the following checklist:

 

  • Limit the use of removable devices except when there’s a real business need to copy the data on or from a removable device checked by the IT department.
  • Unauthorize the access of copying data to removable devices for everyone except to the authorized profiles.
  • Create security policies to safeguard enterprise devices from all malwares and risks that portable media devices can cause.
  • Educate your employees about risks of using portable devices.
  • Scan each removable media against malware/virus directly after it’s been inserted into the USB port of computer.
  • Lock the sensitive information and all data saved on external device with a strong password.
  • Encrypt the data and content stored on removable device.
  • Never leave your removable device unattended. Put them in a secure place when not in use.
  • Don’t insert someone else removable device in your USB port in order to avoid virus that can infect your computer system with malwares.
  • Keep the security software’s and antivirus up to date in your computer.

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Pros of a Multi-Cloud Strategy

Multi-cloud Popularity

Did you know that 77% of enterprises have at least one application or a portion of their enterprise computing infrastructure in the cloud? Did you also know that enterprises are increasingly putting money in the cloud and 15% of them intend to adopt cloud apps and platforms in the next 12 months? This is according to the Cloud Computing study conducted by IDG in 2018.

 

With the rise of tech, even an ordinary individual like us uses the cloud, especially when we’ve to manage photos, files, and documents on various websites and apps such as dropbox, iCloud etc. Business-wise, though, 77% of enterprises are using cloud apps, platforms, and services, as mentioned above. Enterprises have different use cases of cloud computing but there are those who go beyond the ordinary use cases. These innovative companies conduct cloud management, by using public, private, and hybrid clouds, to drive growth and to adapt to an ever-changing technological landscape. In addition to that,Multi-cloud concepts are on the rise as companies seek more choice about the best place for their data and workloads.

 

Before understanding a multi-cloud strategy, it’s recommended to differentiate different type of clouds, such as, public, private and hybrid.

 

A public cloud is provided by companies like Amazon, Microsoft, Google, and IBM and t you can pay on a subscription basis or on a pay-as-you-go model. A private cloud, on the other hand, is for the use of a single company only. It is designed for the unique infrastructure of an organisation and for its use case and can be deployed on-premises or in data centres that offer colocation services. Lastly, the hybrid cloud is a combination of at least one public and one private cloud services. They are unique entities but are connected with different technologies.

 

Multi-cloud concepts are on the rise as a growing number of companies seek more choice about the best place for their data and workloads in order to meet various business and technology requirements because no single cloud model can fit the diverse requirements and workloads across different business units. The multi-cloud is more than just the parallel use of multiple clouds. It’s a comprehensive strategy to make the most of each of the available cloud technologies. Since many companies already use different cloud technologies, the question arises of how to bring these technologies under one umbrella. IT teams are looking for ideas, strategies and solutions to take the next step towards a unified multi-cloud.

 

So, In the process of cloud adoption, here below are few tips of what IT teams should consider to take full advantage of the flexibility of the cloud to adopt a multi-cloud strategy with the help of three key technologies that are important in building a multi-cloud environment.

 

As legacy tools aren’t compatible for work in new multi-cloud environments, it’s is necessary to adopt new solutions to give organisations the freedom to move to, from, and between any combination of clouds, and by far the main benefit of creating a multi-cloud infrastructure is that it provides enterprises with the flexibility needed to innovate at speed.The reason for this is that it doesn’t tie them to the specific set of services provided by various individual cloud providers. As a result, the way an enterprise chooses to innovate is its own.

 

However, using software and tools that are not specifically designed for multi-cloud scenarios can be an incredibly frustrating process that completely rejects the benefits of the multi-cloud. To effectively implement a true multi-cloud strategy, organisations should not seek to integrate legacy tools into their new environments. Instead, they should introduce new solutions that are focused on the future. There, the majority of businesses use more than one cloud platform to keep their workloads and data in the ideal place while fully protecting it.

 

The multi-cloud offers great benefits for businesses that can get the most value from any platform but at the same time, it brings new challenges of removing barriers to data and cloud storage management. To maximize the benefits and meet the challenges, organizations need a scale-out storage solution that bridges the gap between local and cloud environments and allows users to combine data in private and public clouds around the world as a single unified management. This allows users to store, protect and search data from a management interface, regardless of where the data is physically located.

 

Opting for multi-cloud solutions means opting for a cost saving strategy. As each cloud provider offers different storage options at different price packages, companies can easily meet workload performance requirements at a very interesting price. In addition to that, having a multi-cloud is also beneficial to avoid any vendor lock-in.

 

No doubt that a multi-cloud strategy allows organisations to create the best cloud solution for their business by taking advantage of the best of what each cloud offers, minimises vendor lock-in, and provides more opportunities for optimization.

 

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RPA & AI in Health Care

Smart systems affect our professional and private lives. Artificial intelligence (AI) is getting sophisticated and forming the basis for all the technologies we use on a daily basis. Obsolete technologies are making ways for new systems, entrepreneurs must reorient and restructure their business processes towards digitisation. As AI is getting increasingly sophisticated at doing what humans do, more efficiently, more quickly and at a lower cost, it’s use in healthcare can play a major role. Many industries already rely on automation of business processes using robotic process automation (RPA) or even artificial intelligence. Is this a good solution for the healthcare industry too?

 

With the advancements in technology applications and apps that encourage healthier behaviour, the population is increasingly having longer life expectancies. Hospitals struggle with mountains of data and inefficient and complex ways of processing all these data. Moreover, caregiver spent a significant amount of their time doing these repetitive tasks.Thus, the need for medical care is growing and the shortage of skilled workforce in the care sector is growing as well.

 

The complexity and rise of data in healthcare means by making AI and robotics a part of our healthcare Eco-system, and with the integration of automation of processes, we can counteract these problems. With the use of software robots, we can shifts repetitive, time-consuming routine activities, such as administrative or billing operations, away from employees to virtual “colleagues”. Faster access to data also makes medical care easier for patients: with the data generated via patient wearables and other medical devices combined with AI, it’s helpful to oversee early stage heart disease, enabling doctors and other caregivers to better monitor and detect potentially life-threatening episodes at earlier, more treatable stages. Doctors and caregivers can have more personal contact with patients and often fewer mistakes.

 

AI can be used to analyse and identify patterns in large and complex datasets faster and more precisely than it has previously been possible. It has the potential to aid the diagnosis of disease. Using AI to analyse clinical data, research publications, and professional guidelines could also help to inform decisions about patient’s treatment. But as AI depends on digital data, so any inconsistencies in the availability and quality of data restrict the potential of AI. 

 

Robotic Process Automation is digital techniques form an interface between the management concept and the automation of business processes using software solutions. Virtual employees take over the handling of individual user interfaces or even entire business processes. With the help of automation, workers get more time for tasks that require individual interaction and emotional judgment. Software robots mimic and perfectly scalable business processes in all areas around the clock with almost zero error rates.

 

Opting for RPA can represent a lot of advantages for medical institutions, such as:

 

  • Automation of routine tasks = relieves employees of frequently repetitive tasks so they can apply their skills to cases that require a human touch
  • Process, input and extraction of user interface-driven data from clinical applications, lab information systems, third party portals, insurance portals, radiology information systems= increase productivity and improves quality of work
  • Software robots work faster without any human error = Patient’s data up to date
  • An RPA robot can enter pertinent and specific health information into a patient’s Electronic Medical Record (EMR).
  • With the use of RPA, doctors have patient’s digital traces all the time = more insights into work process flows
  • RPA productivity also translates into return on investment as Software robots work much faster than their human counterpart
  • Helps caretakers not only reduce costs and gain efficiency but also increase the quality of patient care and amount of time spent with them
  • RPA can optimise patient registration, appointment scheduling, billings and payment posting = decrease in operational costs and improvements in patient experience 

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RPA is offering great benefit to health care professionals and administrators in helping them perform their tasks at a higher capacity with less effort. The combination of RPA and artificial intelligence forms the next level of automation because systems make their own decisions, learn and optimise processes independently. AI can assign tasks, which are then executed by RPA. The software robots provide the hands for the cognitive systems. In the future, for example, automation solutions could be even more involved in the monitoring of people in need of care. However, it often turns out to be sufficient and above all more meaningful to use RPA alone as it enables them to provide immediate productivity gains, achieve near zero error rates, reduce operational costs and greatly increase the quality of patient care.

 

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All-inclusive Security Approach for Next-Gen Endpoint Terminals

All-inclusive Security Approach for Next-Gen Endpoint Terminals

In the last 20 years of the information technology and the advancements of the cyberspace landscape has advanced non-stop, that’s why the future of cybersecurity is strongly connected to IT advancements. Along with the development in IT, cyber-hackers have also updated their strategies to evade the security measures in place, and the terminals remain their favorite targets.

 

Many studies have demonstrated that, in 2019, businesses of all sizes have faced more sophisticated and more dangerous cyber-attacks. Only in the first half of 2019, over 4.5 billion records from organizations around the word have been compromised via data breaches and cybersecurity attacks.

 

Now, with the cloud, IOT and mobile devices, endpoints have become the company’s new security perimeter. It is therefore increasingly critical to lock and secure them. There’s no doubt that companies continuously deploy numerous software on devices to secure them, such as, antivirus, firewall, intrusion detection, vulnerability management, Web filtering, antispam and many others. Yet, despite those solutions in place, many companies still suffer from security breaches.

 

In addition to that, as the trend of remote working is also escalating in 2019, companies are facing security challenges in terms of security and data protection, for those employees that are using their own devices, outside of business networks, or company premises. Therefore, securing Endpoint devices can be very challenging, especially when employees are using their own devices for work or using their work devices for personal usage out of company premises. And if they get their device stolen or hacked, it could lead to huge disaster, such as company accounts can be compromised. Therefore, YES, organizations and business around the world need to invest in Endpoint Protection solutions. With the help of these solutions, Endpoint devices can be secured with cloud based anti-virus installed on each Endpoint Device. And they need next generation protection in addition to their antivirus, prevention and detection of advanced threats.

 

Here below are listed few important criteria’s that companies need to take in consideration for a comprehensive endpoint security strategy: 

 

  • Preventing any attacks requires more than just a firewall or a single antivirus program. By implementing a combination of security strategies, including device firewalls, specific email Antivirus tools, internet security, mobile device management and security solutions, encryption and intrusion Detection tools, companies can avoid malware and stop it in real time. In addition, vulnerabilities can be identified and remedied to prevent malware entry. Importantly, prevention must cover the entire corporate network, including all endpoints.

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  • IT security teams must analyze and record, nonstop, each endpoint activity so they can detect all activity connected to any type of attack, including known vulnerability exploitation, zero-day attacks or non-malware- related intrusion.

 

  • 100% malware protection is not possible today, therefore, companies must opt for a system with which they can secure their endpoints round the clock and have an eye on any malicious behavior. They must learn from any past experience by understanding the actions an attacker may take in order to penetrate company’s network so they can enhance their security for future and also take things in control after a breach.

 

  • Administrators must be able to view activity that happens on the corporate network at any time in present or past. All endpoint security solutions must be able to offer real-time interactive reports on user activity. An overall view of the reports for events that occurred in the past must be available at anytime.

 

  • IT security teams must secure and enforce security policies on the all company devices, even those that employees can take out for remote working. They must install a suite of security control that protects sensitive data on those devices and endpoints by encrypting sensitive corporate data.

 

Sources:

Forrester: Rethink Enterprise Endpoint Security In The Cloud Computing Era

 

IBM: Protect critical assets: Safeguarding data, apps and endpoints

Top Strategies to Improve and Increase Data Quality

Top Strategies to Improve and Increase Data Quality

 

Organizations face enormous amount of pressure when it comes to face the issue related to data quality. Businesses can only make the right data-driven decisions if the data they use is correct. Without sufficient data quality, data is practically useless and sometimes even dangerous.

 

Regardless of whether your data is structured or unstructured or your data is on-premises or in the cloud, it needs to be on top to deliver business value by ensuring that all key initiatives and processes are fueled with relevant, timely and trustworthy data. Because bad data quality not only costs time and money, in the worst case, it even leads to significant revenue losses.

 

But despite its importance of having data quality, the reality in many of today’s organizations, data quality has been voted among the top three problems for BI software users every year since the first issue of The BI Survey back in 2002.

 

What is data quality?

Defining data quality depends on the needs of each organizations. It can differ from one business to another. As a poor quality of data, especially of customer data, quickly leads to serious problems, therefore for some organizations, it can be ensuring that customer contact data is up to date so that deliveries are received in a timely manner. For other organizations, it could be filling prospects profiles that can be helpful with marketing segmentation effort. Serval factors are being used to determine the quality of data, such as accuracy, completeness, relevancy, validity, timeliness and consistency.

 

Here below are few examples to clean up and improve the consistency and reliability of your data:

 

  • Understand the purpose of your data

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IT department should work with other departments of company to align and acknowledge the problems and negative impact that company can face because of missing or erroneous data. Even though a lot of data today are generated, companies must make a strategy about what data is been collected and for which purpose the gathered data can be used because the collected data should ultimately exist for a business or mission purpose.  For this purpose, they must work to identify incomplete, faulty or multiple existing customer data, because very often, in different departments, different inventory data exists for the same customers. So, paying attention to an error free data can lead to increase data quality.

 

  • Get a Data Control Supervisor from a Qualified Department

Data Control supervisors play a crucial role in the success of a data quality mission. They come from a specialist department and know how to oversee the development and use of data systems. They can discover efficient ways to organize, store and analyze data with attention to security and confidentiality. He is also responsible for creating and enforcing policies for effective data management, formulating management techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data, devising and implementing efficient and secure procedures for data management and analysis with attention to all technical aspects. His goal is to ensure that information flows timely and securely to and from the organization as well as within.

 

  • Implement a priority list of undesirable data

Today many companies are using different equipment (IOT) that records vast volumes of sensor data. Unfortunately, not all the gathered data in company is valuable. Therefore, Data Control supervisor must perform quality checks in order to reject undesirable data. To do this, he must be able to respond to following questions: How and by whom was the data generated? Which users are accessing it? For what purposes are they used by which applications? Which costs cause faulty data?

 

  • Prevent duplicate data

Duplicate data refers to when the same information is somehow input as two separate entries by different people or teams

In the presence of duplicate data, it is very hard to pull out exact results or CRM and Marketing campaigns and can create serious issues when you’re creating automations, looking up buying patterns, or putting together a target audience. So, Data Control supervisors must make sure that company is using a data management software that regularly checks the data for duplicates and cleans it to ensure that their data is clean, has quality, and is reliable to work with.

 

  • Perform regular checks on your data to uncover anomalies

If you want to understand and ensure your data quality, you have to perform regular checks to see if there’s no “bad-data”. Reviewing your data will help you to understand if the gathered data aim for organisations objectivity. As getting 100% data accuracy is not the final objective, Data Control supervisors must be able to pull-up the insights from the data to it’s main goal. Improving data quality is an ongoing process and it takes time to get it right.

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