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2019: The Year of Data-Driven Management Revolution

Benefits of Data Management

Data is at the heart of the digital transformation, which will accelerate, ever than before, in 2019. Businesses are moving from monolithic legacy infrastructures to modern distributed hybrid cloud infrastructures. Therefore, the protection and management of data must undergo alterations and evolution.

 

So far, we all know that data management is all about managing the data, regardless of the underlying infrastructure.

It includes all aspects of data planning, handling, analysis, documentation and storage, and is present in each department of an organization. By managing data, the objective is to create a reliable data base containing high quality data by:

  • Planning the data needs of an organization
  • Data collection
  • Data entry
  • Data validation and checking
  • Data manipulation
  • Data files backup
  • Data documentation

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Each of these processes requires thought and time; each requires painstaking attention to detail.

 

The main element of data management are database files. Database files contain text, numerical, images, and other data in machine readable form. Such files should be viewed as part of a database management systems (DBMs) which allows for a broad range of data functions, including data entry, checking, updating, documentation, and analysis.

 

Traditional data systems, such as relational databases and data warehouses, have been the primary way businesses and organizations have stored and analyzed their data for the past 30 to 40 years. In traditional storage management, the task is to manage storage hardware and the data it contains in a single system or cluster.Butwith Information Technology becoming more and more Cloud based nowadays (due to industry demanding reliability and scalability in their infrastructure), the Cloud storage system has become a very feasible solution. Various organizations are migrating their data to cloud storage, as they want data to be easily accessible, cost effective and reliable.Storage is today in public / private clouds, in the IoT, at the network edge, as well as on mobile devices and new media using new protocols. There is a new variety of data structures, containers, and interfaces that support data-driven use cases such as analytics, self-service multi-tenancy, artificial intelligence, and machine learning.

 

If we take a look back to 2018, there was not a single data management solution that would combine all of the required core components in one product. To keep pace with evolving business needs and fallow digital transformation, data management solution providers are turning to the open source community in order to provide new tools and capabilities to expand their products. However, as there is a lack of interoperability between products, multiple products still need to be purchased to fully manage and protect data in modern hybrid clouds and new digital environments. This can be a nightmare for administrators in terms of monitoring, reporting, managing, protecting and backup the data.

 

2019 is a year in which data management vendors will expand their capabilities through alliances, acquisitions and native development to offer these key components in one product and to fulfil every business requirements. This will in future simplify data management for administrators and provide the ability to intelligently manage, secure / protect and document everything under one management roof. This will also provide real data management solutions for all data requirements and data usage scenarios in 2019.

 

Data backup & business continuity

Downtime is real and it’s costly. How costly exactly? Depending on the size of the organization, the cost per hour of downtime is anywhere from $9,000- $700,000. On average, a business will lose around $164,000 per hour of downtime. The numbers speak for themselves.

With that being said, ransomware and other malware attacks will continue to increase and evolve to smarter attacks. Along with new data protection policies and strategies, the number of natural disasters and other events that sometimes destroy entire data centers will continue to grow in 2019. This means that data protection and data management will have to evolve towards smarter and more efficient ways to avoid business interruption. All these are reasons why the importance of a good backup strategy and a disaster recovery plan as an integral part of business continuity will increase.

Conclusion,thinking about data backup is a good first step. Business continuity is equally important to consider as it ensures your organization is able to get back up and running in a timely matter if disaster strikes.

 

Archives

The long term “cold” storage will continue to grow as more data is used and produced than ever before. The idea of ​​storing long-term archive information requires innovations from the use of cheap magnetic media to media that are less prone to losing bits over time. As semiconductor technology becomes cheaper and cheaper, it could become an alternative for long-term storage to make it more efficient.

 

Compliance & Data Governance

Vulnerabilities and regulations affecting data will continue to increase in 2019 as evolving regulatory requirements demand constant attention. Privacy concerns push organizations to implement data governance — well beyond legal demands. You need to identify sensitive data, benchmark controls, and assess risks. And move quickly to restore protection when compliance drifts.

 In addition to complying with the GDPR regulations adopted on 25 May 2018, companies must be able to prove compliance or otherwise face heavy fines. The ePrivacy Regulation will be implemented in the second half of the year. It aims to track the advances in electronic communications and related data in e-mail, news, blogs, websites and IoT devices. There will be some overlap between the ePrivacy Regulation and the GDPR, but the main difference is that the ePrivacy Regulation is only about electronic communications and the GDPR is about all kind of personal data. Data management solution providers will need to provide simple, innovative ways to help companies demonstrate and maintain these new compliance and regulatory measures.

 

Capacity optimization

Capacity management is the practice of planning, managing, and optimizing IT infrastructure resource utilization so application performance is high and infrastructure cost is low. It’s a balancing act of cost vs. performance that requires insight into the current and future usage of compute, storage, and network resources. Optimizing resources such as storage capacity is critical to cost control. The use of new applications such as analytics, machine learning and artificial intelligence is increasing. This means that the need for capacity optimization for cost control will increase, otherwise the IT budgets will get out of control for companies using this digital transformation as part of their business initiatives.

 

Visibility

Access to real-time analytics is crucial for business decision makers. Whether you’re streamlining workflow, resource forecasting or just trying to get a grip on what’s going on, you need some metrics to work with which you can trust.

Today, more than 320 million workloads are active in data centers worldwide. It is estimated that there will be over 450 million workloads worldwide by 2020, with at least half of them active in the public cloud. This increased use of the public cloud in the hybrid cloud infrastructure increases the complexity of data management. Data transparency will be the key to improving and lowering the cost of hybrid cloud environments.

How Companies Can Leverage Their Existing Data Assets To Unlock New Business Opportunities?

Have you already heard about the latest update about Facebook who wants to play Cupid? At their F8 developer conference, the social network announced its entry into the online dating service. Why not? As Facebook users were able to reveal their relationship status since February 2004, with the existing user data form the ideal source it’s possible to find the perfect partner with the help of a suitable algorithm. However, this operation requires valid and high-quality data. At the same time, this announcement is a very good example of how companies can leverage their existing data assets to unlock new business opportunities.

 

Business can generally succeed in improving their own data quality by improving their data governance processes and the developing suitable strategies for complete data management. First of all, it is important to define the criteria for good data, which may vary depending on the company’s activity. These include aspects such as relevance, accuracy and consistency – in this case, data from different sources should not contradict each other. It’s also helpful to investigate where errors in master data are particularly likely to creep. Because here too the well-known programming wisdom applies: garbage in, garbage out. Poor data sources lead to poor results.

 

In practice, sources of error can be found throughout the value chain of data management. These can be human input errors during data acquisition, defective sensor data or incomplete data imports in automated processes. But also, different formats of data can lead to errors, in the simplest case when one has to input the data in US, in case of uncertainty about whether the metric or imperial (Anglo-American measurement system) is used. In addition, organizational deficiencies lead to data errors, for example, if it is not clearly defined who is responsible for which data sets.

 

In order to achieve more quality data, five points can be identified that help to increase the value of your own data.

 

Clarify goals:

 

Everyone involved in the project should agree on the business goals to be achieved with an initiative for better data quality. From sales to marketing to management, each organizational unit has different expectations. While decision-makers need more in-depth analysis with relevant and up-to-date information, it may be critical for a sales representative that address data is accurate and complete.

 

Find and catalog data:

 

In many organizations, data is available in a variety of formats, from paper files and spreadsheets to address databases to enterprise-class business applications. An important task is to localize these databases and to catalog the information available there. Only when the company knows what data can be found in which database and in what format, a process for improving the data quality can be planned.

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Harmonization of data:

 

Based on the initial inventory, a comparison is now made with the target to be achieved. This can result in a variety of tasks, such as a standardization of spellings, data formats and data structures. It uses tools for data preparation and deduplication to provide a harmonized set of data, while data profiling solutions help analyze and evaluate data quality.

 

Analysis, evaluation and processing:

 

If you consolidate your data and process it in a cloud, data lake or data warehouse, you can flexibly perform a wide variety of data preparation tasks there by using data integration and data management software solutions. Anyone who has to process streaming data, originated from sensors or Internet of Things, has the option of using cloud resources to check the incoming data in a very flexible way and to sort out fake data packets.

 

Establish continuous processes:

 

Ensuring data quality is a continuous process. After all, new data is always collected and integrated into our own systems. Even if external data sources already provide high-quality data for further processing, it is still necessary to constantly check and validate your own data stocks via a data monitoring system. There are very different solutions, such as, self-service data cleansing solutions, rule-based data transformation applications, self-learning software solutions that independently monitor data formats and detect and correct statistical anomalies. Already today, algorithms for deep learning or artificial intelligence are able to handle many tasks around data management in big data scenarios. However, it is important that responsibilities for data management are named and that quality assurance processes are confidently secured in the company’s processes.

 

Conclusion:

 

Managing quality data is a team work that spans in all functional areas of a company. Therefore, it makes sense to provide the employees in the departments with tools to secure the data quality in self-service. In particular, cloud-based tools that can be rolled out quickly and easily in the departments are ideal for this. Thus, equipped companies can succeed gradually in improving their data quality and increasing the value of their data. This leads to satisfied employees and happy customers.

How To Better Secure Multi-cloud Environments?

The rise of cloud-based services and a variety of choice regarding the cloud has filled the market with more competition than ever before.Increasingly, organizations are now choosing to mix and match cloud solutions. Butare they ready for the security challenges of multi cloud architectures? Applications that are spread across different cloud providers are extremely difficult to see; visibility is often limited. How businesses can better manage their multi-cloud infrastructure explains Jeff Harris, VP, Product Portfolio Marketing from Keysight Technologies.

cloud Workloads

The year 2017 was marked by a strong increase in enterprise cloud computing. According to Gartner, 90% of global companies currently use at least one cloud service. But today, no one is limited with just one cloud service, and even companies working with only a single cloud service provider doesn’t exists anymore. Multi-cloud, the use of multiple public clouds, is quickly becoming the next step in building truly dynamic infrastructures. By dynamically executing workloads across multiple cloud providers, organizations can ensure that workloads are truly optimized. The above-mentioned Gartner study reports that 70% of businesses plan multi-cloud implementations by 2019, up from 10% of today.

 

Up mentioned study also shows that 93% are concerned about security in cloud. But are companies ready for the security challenges of multi-cloud architectures? Each cloud provider has its own technological details as well as unique cloud services and management interfaces. It can be difficult to build an integrated view of the action. As a result, organizations may not really know if their security policies are constantly applied to workloads that are spread across multiple cloud providers – and may dynamically switch between them.

 

Businesses could easily trust cloud providers to protect their data, but that would not be a good idea. Security breaches and data theft are quickly becoming public. Ignorance is simply not an acceptable defence. In addition, a lack of insight into the individual processes or lack of evidence of compliance is enough to make most audits fail.

 

Ultimately, the operators of those applications are always responsible for data security in multi-cloud environments, but most do not have enough visibility and therefore no real control – they cannot really ensure that their data is 100% secure. However, there are approaches to make sure that their data is safe. Here are four steps companies can take to better manage their multi-cloud infrastructure:

 

  • Monitoring of data at the package level

    To monitor their traffic, organizations need to have data access at the packet level. The data provided by the cloud providers is not yet what IT managers in their own data center are used to. For example, metrics can be obtained through Cloud instances, but typically not the actual packages themselves. In addition, the metrics may not be as complete or available for a limited time. There may not be an easy way to build the custom dashboards needed to detect network and application performance issues. These limitations make it harder and more time-consuming to identify and resolve security and performance issues.

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  • Treat all data equally

    Once available, organizations need to integrate cloud packet data into existing IT service management (ITSM) solutions, where they can be centrally monitored along with other system management data. This allows organizations to perfectly monitor the performance, availability, and security of workloads, regardless of the underlying infrastructure, while providing a foundation for policy enforcement. This central monitoring and policy enforcement ensures that the company has control over the security of its own data and that policies are consistently applied to all workloads, whether they are in the data center, on the infrastructure of a single cloud provider, or across multiple cloud sites architectures.

 

  • Understand context and apply intelligent policies

    Like all monitoring data, cloud package data must be placed in the right context for analysis. To determine if a package is good or bad, it must be fed into the appropriate monitoring, compliance, analysis and security appliances where it can be converted into actionable information. CRM data is treated differently in the data center than HR documentation. So why should a company handle it differently when they come from the cloud? Insight at the network packet level, it’s easier to identify and route data according to existing policies. The result can be seen in more robust security, improved network performance, and better resource allocation.

 

  • Apply your own test procedures

    You should trust your own tests more than anyone else. Cloud providers do their best, but they need to serve the masses of customers, not individual needs. It’s important that organizations constantly test the performance, availability and, most importantly, the security of their workloads in multi-cloud environments. One-time testing provides a degree of security, but continuous testing adds confidence in cloud security – especially as cloud applications are generally subject to constant change.

 

Businesses will increasingly use multi-cloud architectures, as users always demand optimized experiences. The ability to move workloads across clouds allows for this optimization; however, security remains an important concern in multi-cloud agreement. Businesses can do this by implementing the same packet-level network transparency they use on their private networks. Seamless access to cloud package data provides the ability to route information to any security, monitoring, and testing tools, where it can be analyzed and evaluate. Even in a multi-cloud environment, you can implement strong security solutions. It only requires planning and consistent execution.

 

Data Privacy Policy: Consumers Trust In Organizations Diminished

The results of Veritas Technologies’ global research have revealed that consumers around the globe are less and less confident about data privacy policies held by companies and have issues with trusting the organizations to protect their personal information. With each new data leak and successful hacker attack their uncertainty grows, at a point where 38% of worldwide consumers are persuaded that most businesses don’t know how to protect their customer’s data.

 

Results also highlight that consumers want to penalize companies that are bad at protecting their data. On the other hand, companies that place a high value on data protection should be rewarded.

Consumers Trust iIn Organizations Diminished

 

In today’s competitive world, most worldwide companies need data to effectively target consumers with the right goods and services to deliver a better experience. But with the introduction of New strict compliance rules such as the EU GDPR, consumers will have more power over their data in the future. Many consumers will impose companies to better protect their personal data as they need reassurance when it comes to what personal data are companies holding, how it is used and how it is shared.

 

The new norm

 

data privacy gdpr

 

The study, commissioned by Veritas and conducted by 3GEM, surveyed 12,500 people in 14 countries including UAE. Results show that 92% of respondents are concerned about exposing personal data, 40% of respondents have no visibility into how their data is used and 83% are not satisfied with companies not knowing how to protect their data.

 

With the GDPR regulations, 65% of respondents says that they’ll request an access on their personal data that companies are holding and 71% will even ask them to delete their data.

 

Almost three quarters, 71%, of respondents say they will stop buying from a company that does not adequately protect their data. And nearly every second, 43%, would abandon its loyalty to a particular brand and switch towards a direct competitor. It can even be a worse scenario for companies because 79% say they would recommend their surroundings to boycott the organization in case of data breach and 87% claim they would report the business to regulators. 69% of respondents say they would post negative comments online about the business.

 

However, the survey also shows that good data protection pays off. So, consumers want to reward companies that protect well their data. Four in five respondents, 80%, say they would spend more money on companies they trust to guard their data. More than a quarter, 30%, of consumers are willing to spend up to 25% more on companies that take privacy seriously.

 

“Trust in consumers has been eroded by many data breaches and global scandals as companies have revealed a lack of understanding of data privacy protection,” said Tamzin Evershed, Senior Director and Global Data Protection Officer at Veritas. Consumers demand more transparency from companies and demand accountability from them. Under this new norm, consumers will reward those organizations that carefully manage data while punishing those who do not. Businesses need to prove themselves as reliable data managers in order to retain the trust of their customers.

 

Growing concerns about the collection of personal data

 

As consumer interest is rapidly growing in how personal data is used and shared by companies, the study shows that consumers are no longer prepared to share the following types of personal information:

 

  • Details about personal finance including income, mortgage (49%)
  • Details on health and medical records (24 percent)
  • Age and gender (29%)
  • Location (36%)
  • Online habits (35%)
  • Religious preferences (38 percent)

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In addition, consumer doubts about how their data is shared with companies and third parties. Nine out of ten respondents (89%) said they were worried about protecting their personal information. Almost half of the respondents (44%) say they have no idea how companies use or share their data. After all, 30 % fear that their personal information will be stolen.

 

“In light of recent events and changes in the law, consumers need much more reassurance when it comes to what personal data companies hold on them, and how it is shared and used,” said Tamzin Evershed, Senior Director and Global Data Protection Officer at Veritas.

 

“This could have significant implications for businesses that rely on collecting consumer data to provide intelligent and targeted services, such as location-based apps. The most successful companies will be those that are able to demonstrate that they are managing and protecting personal data in a compliant way across the board.”

 

Data Management Revolution in Corporations – GDPR, Ransomware and Multi-Cloud Requires New Actions

GDPR and Data Management

Enterprises have more and more options for data storage, but at the same time they are faced with strict regulation and new challenges. For example, the EU General Data Protection Regulation (GDPR) will enter shortly into practice. Ransomware attacks and the trend towards multi-cloud doesn’t make it easier for companies.

 

Data has become the lifeblood of companies in this digital world. It’s critical to the future of any business – and its volume continues to grow. IDC predicts that 163 zettabytes of data will be generated worldwide by 2025 per year. Not surprisingly, this data growth is associated with an increasing demand for storage, more than 50% annually in recent years. However, refilling storage resources is just one thing, but how do companies manage ever-changing data? Here below is an insight of how businesses today can efficiently manage their data.

 

THE TRADITIONAL “STORAGE” APPROACH IN THE CLOUD AGE

 

Data management experts believes that despite the growing volume of data, there has been no innovation in the way data is backed up, stored and managed for many years. With the rapid spread of virtualization and the growth of big data scenarios, it has become increasingly apparent that there was a need for action and new strategies. Organizations using legacy systems are finding it increasingly difficult to access, retrieve, and recover their data. Traditional storage solutions no longer meet the needs of today’s businesses.

 

The cloud has also opened up many new opportunities over the limited memory capabilities of an old design data storage system. Most recently, Cloud Data Management has made annoying IT tasks such as backup, storage, and recovery more efficient and transformed it into value-adding business functions. Today, 63% of worldwide companies are using private and public clouds to securely manage their data. Backup, archive, compliance, search, analysis and copy data management are all available in a single, scalable and widely deployable platform. Companies can derive more value from data assets by making faster and more. Informed business decisions.

 

RANSOMWARE THREAT

 
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As data volume grows at a remarkable rate in worldwide organizations, cybercriminals are adapting new methods to hack valuable data for profit. Their technical sophistication varies from small scale cyber-enabled fraud to persistent, advanced and professional organizations. They may directly steal money or monetise their capabilities indirectly through intellectual property theft or through malware.  At any point in time, data access can be affected by cyberattacks.

 

As far as cyberattacks are concerned, the threat of ransomware is hard to avoid. Companies in all industries as well as public institutions are affected by a veritable ransomware attack. Having a look on the 2017 WannaCry cyberattack taught us a good lesson that no-one is safe from the criminals behind ransomware. Everyone is a potential target – and it’s just the question of when something will happen.

The threat of ransomware attack means that business should consider further mitigation and preventative solutions to combat it. These include maintaining appropriate backups and defensive systems that automatically scans any potential harm.

 

The GDPR IS HAPPENING NOW!

 

Either a company is based in the EU or trade with EU Member States, they all are concerned by GDPR. The new regulation will somehow force companies to adapt stricter data protection and data protection rules and will oblige companies to redesign their entire data management process if necessary. When the regulation enters into practice in May 2018, a fundamental change of mindset will be needed in many places.

Data management systems are no longer just used to store data but must help companies meet key GDPR requirements. To ensure compliance, companies should adopt a centralized data management solution that provides simplicity, security, and policy-driven management.

 

INCREASED INTEREST IN MULTI-CLOUD ENVIRONMENTS

 

Multi-cloud strategies will become common for 70% of organizations by 2019, according to Gartner. More and more companies are increasingly turning to a multi-cloud approach. They use different clouds for different purposes, whether public, private or a mixture of both. By combining public and private clouds within their business strategy, organizations gain flexibility and scalability. If you use more than one cloud provider, you can reduce deployment time and increase cost-effectiveness. However, to take full advantage of such hybrid environments, companies need a cloud data management solution. It supports and automates the transfer of data across all cloud ecosystems, optimally meeting current needs.

GDPR – What impact will the new #DataRegulation have on the Hotel Industry?

DATASECURITY

Indispensable for reservations and booking, hotels handle large amounts of personal data that need special protection. The hotel must ensure customers are aware of the particular uses of their data. GDPR legislation brings in a large number of transformations. Here below is a brief overview of the challenges that will have to be faced by the various players in the sector.

 

In 2014, the computer security company Kaspersky revealed to the general public the hacking campaign “Dark-hotel” developed in luxury hotels. By penetrating Wi-Fi networks, sensitive data has been robbed via devices of senior executives while they were on a business trip. More recently, in January 2017, an Australian hotel was hit by ransomware. With the possession of the electronic key system, the hackers had locked hotel’s customers in their rooms, forced to pay $ 1,500 in bitcoins on the Dark-web, a price for opening the room’s door.

 

In addition to all other industries, the hotel industry is exposed, as well, to a major challenge: ensuring the security of personal data while dealing with cybercrime. In this perspective, the European Union has adopted the General Regulation on the Protection of Personal Data (RGPD) which is mandatory form from May 25, 2018.

* GDPR is a regulation to strengthen and unify data protection for individuals within the European Union.

 

It redefines the protection of individuals by protecting their personal data with a number of major provisions. Fully concerned, the hotel industry has only two months to anticipate these new obligations in order to strengthen their data protection system.

 

Hoteliers must take responsibility

 

Today, the concerned actors are not aware of the risks essential to personal data and the strict responsibilities upon them. Indeed, the hoteliers have in their hands a colossal amount of personal data that customers entrust fairly easily to the detour of a few clicks.

Customers are invited to book by sharing several private data (full name, postal address, email, credit card information, date of birth). Once the reservation is made, a contract of trust is established between the customer who shared his personal data and the hotel which has the heavy responsibility to protect them.

 

In this logic of responsibility, this need for data protection and integrity naturally extends to service providers, partners and subcontractors (Booking Center, Concierge Services, etc.) to whom the obligations regarding security and confidentiality will have to be met, to be strengthened and clarified. It is easy to understand the impact that any flaw in the concierge service would generate by disclosing the habits and sensitive data of its customers and distinguished guests.

 

According to travel statistics, 93% of customers goes online to find and book a hotel. Taking the example of the Booking.com platform, the industry leader, the client communicates all its personal information which will then be transmitted directly to the hotel. In 13% of cases, this data will be sent by fax which, poorly preserved, can generate a risk for the individual in case of fraudulent use.

 

The penalties for not complying with GDPR are large, at a financial cost of up to €20 million or 4% of worldwide annual turnover (whichever is greater), not to mention the potential reputational cost to a business in the hospitality industry. Even more prejudicial, the contract of trust with customers would be particularly weakened with a reputational risk with serious consequences for the hotel.

 
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Six urgent measures to take

 

It is security that must adapt to the customers and not the other way around. Securing data is a major issue that hotels must prepare to ensure a level of security adapted to maintain and strengthen this relationship of trust between customers and hoteliers.

For that, several challenges will have to be raised by the various actors of the sector:

 

Data mapping: Hotels need to complete a data mapping process to become aware of what data is captured, where its stored, and how it is used before it can begin the process of how to protect and monitor it moving forward. A data mapping process helps to react effectively in case of violation.

 

IT and Security assessment: After data mapping process, the hotel’s hardware and software applications should be reviewed along with hard copy files. A series of encryption codes, pseudonymization techniques, passwords or limitations on access may need to be implemented to protect access and the integrity of the data.

 

Data protection officer: Designate the data protection officer, guarantor of the data protection structure with the responsibility to review the access, archiving, transfer and data protection processes. Data protection officers are responsible for overseeing data protection strategy and implementation to ensure compliance with GDPR requirements.

 

Cleaning up data records: Deleting isn’t required but validating the data that is a must. In this process, a hotelier must reach out to customers to inform them of the new policies and to verify their data and its uses. Document all standard operating procedures and invest in training of all relevant staff members to ensure they have a thorough understanding of the new procedures and the implications of the regulation. Analyze the risks of impacts by assessing the risk of disclosure of personal data by system.

 

Raise awareness and train internal staff: Maintaining GDPR awareness with staff is an ongoing process. Management should provide regular refresher training for all staff to ensure an awareness culture exists to protect against possible breaches.

 

Third party partners: Review contracts with existing partners, contractors and subcontractors to ensure integrity throughout the data cycle. A major change due to GDPR is that data processors are captured by the regulations as well as data controllers.

 

Taking the example of the “ransomware” of the Austrian hotel, It is a call for accountability and awareness for the hospitality industry that requires concrete actions to meet the challenges. This will fully fulfill the contract of trust to the customer by ensuring protection of their data.

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