In this highly interconnected world, data protection has become an invaluable asset for organizations across industries. Evolving cyber threats and data breaches have become costly for businesses, and prioritizing data protection is a strategic and compliance imperative.
Therefore, evaluating your organization’s current data protection practices and enhancing them to safeguard sensitive information effectively is critical. Take steps to protect your data assets by adopting key strategies for building a more secure environment in your organization.
Organizations must assess their data protection to learn about potential vulnerabilities and ensure sensitive information is safe. Start by recognizing the value of your organization’s data, such as customer records, intellectual property and financial information. Understanding the types of data you manage will determine the appropriate level of protection needed and areas that require additional security measures.
Additionally, it is essential to evaluate your current data protection policies and practices. Conduct a risk assessment that identifies potential threats or vulnerabilities in data storage, transmission and access control processes. With this assessment, you will gain a holistic view of your organization’s data protection landscape and develop targeted strategies to enhance it.
These top strategies for prioritizing data protection will provide you with actionable insights to help your organization enhance its security posture.
A data protection policy is the foundation for creating a secure environment for your organization’s sensitive information. A robust policy should outline clear guidelines and protocols that govern how to collect, store, transmit and dispose of data.
Additionally, the policy should serve as a blueprint for the organization’s data protection efforts. That way, you ensure all team members understand and adhere to established best practices.
Start creating an effective data protection policy involving key stakeholders, such as IT, legal, HR and management. Consider aligning your policy with relevant data protection laws and regulations and keeping it updated as these regulations evolve.
Legal and regulatory compliance is a critical aspect of data protection, as organizations must adhere to laws and regulations relevant to data collection. While compliance will protect your organization from fines and legal repercussions, it also proves your dedication to the privacy of customers, partners and stakeholders.
Start familiarizing yourself with relevant data protection legislation. For instance, the General Data Protection Regulation (GDPR) in the EU and the California Consumer Privacy Act (CCPA) may apply to your organization.
To maintain compliance, ensure you develop and implement a data protection plan that aligns with the requirements of applicable regulations. You could also make this tactic more effective by designating a data protection officer (DPO) to oversee the compliance efforts.
Encryption and secure storage protect sensitive data from unauthorized access and potential breaches. Encryption technologies, like Advanced Encryption Standard (AES), will protect data by converting it into an unreadable format. Yet, only authorized parties can gain access by deciphering the encrypted data with a decryption key.
On the other hand, secure storage involves implementing robust solutions for maintaining the integrity and confidentiality of sensitive data. These may include using secure servers, data centers, cloud storage providers and data management tools. For instance, Informatica Cloud is a leading data management tool that enables organizations to securely store, process and analyze sensitive information in a cloud environment.
Protect your data by employing these technologies to prevent breaches and maintain consumer trust.
The role of an incident response plan is to ensure your organization knows how to manage and mitigate data or security breaches. With a well-structured guide, you have a clear roadmap for identifying, containing and recovering from incidents. This ensures your company responds quickly, helping you save money from potential damage.
An incident response plan should outline the roles and responsibilities of key personnel, communication strategies and procedures for coordination. Leaders can develop an incident response plan by involving stakeholders.
The company should also regularly review and update the plan to incorporate lessons learned from past incidents. Additionally, conducting periodic drills will enable the organization to test the plan’s effectiveness and identify areas for improvement.
Ensuring employees know how to protect data is essential to reinforcing your security strategy. Oftentimes, human error is a leading cause of data breaches. Therefore, ensuring all team members know what is at stake and their role in safeguarding sensitive data is key to reducing the risk of incidents.
Regular training sessions, workshops and awareness campaigns can equip employees with the skills to recognize and prevent potential threats. Additionally, you can build a security-conscious culture by encouraging open communication and collaboration between departments. Implementing this approach promotes sharing best practices and insights into emerging threats.
Regular security audits are essential for maintaining strong security and identifying potential vulnerabilities. Consider conducting audits to evaluate your organization’s policies, procedures and technical controls. Doing so will ensure they align with industry best practices and comply with regulatory requirements.
Additionally, continuously monitoring your organization’s networks, systems, and applications is vital for detecting suspicious activity. You can achieve continuous monitoring by implementing tools, including:
Leveraging these tools will alarm you of potential threats and allow for prompt response and remediation. Remember that regular security audits and ongoing monitoring enable your company to stay ahead of emerging threats. Additionally, it ensures you are continuously protecting and prioritizing your data assets.
As new risks emerge and attackers employ more sophisticated tactics, organizations must remain vigilant and proactive in updating their security measures. This type of commitment ensures you stay ahead of threats but requires staying informed about industry trends and evolving best practices.
To ensure your company is continuously adapting, ensure you communicate with departments about the latest developments in data protection. Taking this iterative approach will sustain long-term security and maintain the vital protection of your data.
Prioritizing data protection is essential for organizations of all sizes and industries. While proactively protecting sensitive information is vital for minimizing data breaches, it also maintains the trust of customers, partners and stakeholders.
As the digital landscape constantly evolves, cyber threats persistently emerge. Hence, it is crucial to continuously monitor your data, ensuring its privacy remains intact and well-protected.
Eleanor Hecks is the editor of Designerly Magazine. Eleanor was the creative director and occasional blog writer at a prominent digital marketing agency before becoming her own boss in 2018. She lives in Philadelphia with her husband and dog, Bear.
Businesses that set smart, very specific goals know exactly what they’re working toward and have an easier time meeting those goals. If your business goal is too generic, such as “make more money,” then the path to that goal becomes obscured. Smart goals are well defined, specific and attainable. People who set goals succeed about 10 times more than those who do not, so goal-setting shouldn’t be overlooked.
There are many methods for creating goals for your business. Big data is one way to figure out which goals are the best to pursue. Grow your business in a very strategic way by studying data about your business and the industry you’re in, and then aligning your goals accordingly. Here are six ways to set smart goals using big data:
People today are overwhelmed with data. There is information on industry specifics, internal data, sales data, online analytics of website traffic and so on. Figuring out which data works best for setting goals isn’t an easy task, even for the most seasoned business owners. Data overload is a problem for many people, who don’t know where to start.
Don’t be afraid to combine more than one type of data to get the full picture of your target audience. For example, a survey of current customers compared to general data about your target audience allows you to see exactly who your typical customer is and create marketing goals accordingly. Combining data from different and nontraditional sources allows your business to get creative and stand out from the competition.
Get the IT department involved to create data models that analyze big data to predict what outcomes might be if your business takes one action over another. So, if your goal is to increase sales of a specific product by 25 percent per quarter, then you can use the model to try out different sales scenarios and marketing methods to see what works best. Predicting outcomes also allows you to test ideas that seem crazy before implementing them. Crazy ideas sometimes become the most successful ones.
Gaining an advantage over the competition is simply a matter of forming a hypothesis of what works best with the target audience, running methods through the model and analyzing the data to see if those methods should be implemented. At the same time, use common sense and business experience as you analyze the data. Computer models aren’t fail-proof, and sometimes they predict the outcome incorrectly. Consider them a source of information but not a final way to set goals.
Cash flow and management makes a difference between success and failure. Indirect spending are those things you aren’t even aware of, such as buying too much paper for a department that rarely uses it, wasteful energy use or added travel expenses for unnecessary trips. Cutting indirect spending saves companies about 25 percent in expenses.
Cut spending by first analyzing data and figuring out where even small amounts add up. Sort through data and figure out how much spending goes to energy, travel and office supplies. Watch for patterns that indicate overspending and cut these costs accordingly.
Big data provides information that explains customer habits. For online companies, even what items a buyer looked at are factored into the equation. It is easy to see which items attracted attention and which ones converted into a sale. This allows companies to personalize promotions.
One example is a business that sells clothing. A large amount of site visitors looked at a specific shirt, but few bought it. Management notices on heat maps that when consumers looked at the price, they bounced away to a different shirt instead. A smart choice here is to set a goal to sell a certain number of those shirts. One way to achieve that, since data indicates people don’t like the price point, is to offer a discount on the shirt. Since data shows who looked at it, you can also push out an email to those customers registered in your system.
Improving customer experience helps with retention. A happy customer is more likely to do business with you in the future and tell family and friends about you. About 86 percent of consumers state they’d pay more for a good customer experience. One of your smart goals should focus on improving the UX of your website or sales process.
Big data allows improvement in frontline methods. Consider a business such as an online flower shop. Customer demand increases during holidays such as Valentine’s Day. Digging into the statistics allows such a business to predict demand and increase service through their network of florists and distribution centers. This results in same-day delivery and provides an overall better experience to customers.
Although your company has big, smart goals as a whole, each department has individual goals as well. Department heads analyze big data and determine what the team does well and what needs improvement. Data also aligns the entire team by showing which goals are attained and which ones need work.
Team leaders should also give each employee specific goals, but those goals should be attainable. Unattainable goals impact team members negatively, so make sure goals make sense for the team but are also achievable. Teams should be aware of the company’s overall goals and strive to create smaller ones that align with them.
Big data and goal-setting go hand in hand. Take the time to study how well current processes work and make adjustments as needed. Goal-setting isn’t something to look at once a year and then forget. Look at goals every month, study the data about what methods move the company toward achieving them and make adjustments as needed. With all the tools at business owners’ disposal today, success isn’t a question but a given. What areas will your business succeed in this year?
Lexie Lu is a designer and writer. She loves researching trends in the web and graphic design industry. She writes weekly on Design Roast and can be followed on Twitter @lexieludesigner.
content /uploads/2016/03/big-data-and-marketing.jpg” alt=”Big Data and Marketing” width=”850″ height=”602″ />
As marketers, we hear the words “big data” a lot. In blogs and articles, marketing leaders say things like “big data can help you better target your ideal demographic” and “noticing trends in big data can give you a better understanding of how consumers think.”
At first glance, data just seems like a bunch of numbers that don’t mean anything. With some digging and hard work though, data becomes very valuable because of the tools it provides businesses.
The very first place to look for data is your personal website. Of course, you’re probably already doing that, but how much data are you missing? Google analytics and similar analytics software throw a lot of data at you, and prominently displays the easiest and most popular numbers right off the bat. By simply accessing your software, you’ll see basic data concerning your website’s traffic, like how many visitors and page views you’ve received. It’s a great start, but doesn’t give a lot of insight into your site.
Delving deeper into your website’s analytics is the first step to going down the big data rabbit hole. To get your feet wet, go to the behavior tab and slowly go through each option below. Hitting behavior flow gives you a nice visual representation of how visitors travel through your website and where you are gaining and losing consumers. Finding trends in this data can lead to focusing better on getting visitors to go where you want them to be.
Google also provides other big data sources outside of analytics software. Google Adwords, even if you don’t use it for PPC, can give you valuable keyword big data. It’s not perfect, as proved by Rand Fishkin at Moz, but it can give you a good idea how people search for information on Google. Google compiles all of their search information and let’s you know what type of keywords are very popular and competitive. Plus, it doesn’t cost a cent to set up for your business.
Another simple starter tool is Google Trends. This lets you see what people are searching in comparison to timelines. Being able to do so lets you find out when people are searching something and when a topic is really hot. This is extremely useful for planning out content around times its topic is getting searched. Also, if your business relies on being on top of what’s trending at any given moment, you can find what is getting the most attention online.
These are just a few resources everybody has access to so you can start using big data. As you become more skilled and experienced in it, you can pursue more detailed
The reason marketers look at big data is to find trends in consumer behaviors. When looking at your own site’s data, you can find trends of where visitors are landing, leaving, what pages they visit, and with a little digging, you can even find out their demographics and type of device they used to visit your site. By cross analyzing these types of data, you can begin to find trends. For example, how do people accessing your site on a mobile device roam your website differ from people on traditional computers?
Looking at other sources, you can learn to predict future trends and capitalize on them (also known as predictive analytics.) Google Trends is an easy to use tool to visualize this data and predict when people will talk about certain subjects. For example, if you look up “Big Data,” you’ll see that as a topic, it’s growing pretty steadily. You’ll also notice that for the past few years, interest in this topic is a lot lower in August and December, so it might not be great to cover these topics during these months. You can also predict that around March and September, interest sky rockets, meaning it’s a great time to write about it and capitalize on it. Also, searching for big data is very popular in India and Singapore, so if your target market includes those areas, it might be a good idea to cover this topic.
Even general trends can help you plan and capitalize on when something is going to get global attention again, meaning you’ll be able to get a nice boost in website traffic on these topics.
The whole reason to use big data and find trends is to use them to grow your business. Industry leaders are already using big data to take their marketing and business to the next level. Finding tons of trends in data doesn’t mean a thing unless you apply them to your marketing efforts.
With the help of big data, you’ll be able to better plan and predict what marketing tactics will and won’t work for your business. Looking at trends, you can better plan content for months that it receives more attention, and you can better focus content to your target markets. You can also avoid putting up content during poor performance months so your efforts aren’t wasted.
You can also use big data to improve on our existing content and website. By finding trends in how people travel through your site, you can capitalize on popular pages and make them better to get more customers. You can also analyze what makes those pages great and recreate them with other pages.
As you gather more data, you have the opportunity to find more trends and continue to grow. Just as marketing is always evolving, finding trends in data can always grow and guide you to improve your efforts.
Do you have any questions about big data? How often do you actively look for trends in your available data? Have a success story about using big data that you want to share? Post a comment below and add to the conversation.
Tim Cook recently voiced strong opinions on privacy issues at a cyber security summit in Silicon Valley. With big data fueling personalized marketing strategies, brands are paying close attention to the latest developments in online security and legislation. Providing data sharing and analysis is done openly and with the full understanding of the public, data driven marketing can offer a valuable service to both marketers and their audiences.
The relationship between consumer data and privacy is notoriously complex; the summit at which Tim Cook attended preceded the signing of a new order that will make it easier for the government to share sensitive information about potential cyber threats with the public sector. Cook said “We believe customers have a right to privacy and the vast majority of customers don’t want people knowing everything about them.’ Cook highlights a sensitive issue; consumers don’t want to be watched or to be pestered with overzealous social media presence and frequent emails.
Conducting market research in a trustworthy and transparent way enables brands to maintain a continuous presence as opposed to an invasive ‘always on’ approach. In this sense data driven marketing can be less invasive than attempts to cultivate on-going conversations with consumers through more traditional marketing practices. Generic ‘feedback’ and testimonials are being increasingly overlooked in favour of more meaningful ‘real time’ responses to brands, their products and their activity on social media platforms. Online panels offer a great opportunity for brands to execute a more targeted approach for more valuable data.
According to a recent study, organisations that take the lead in implementing data-driven marketing report better levels of customer engagement than those that don’t. Working within global markets has created a stronger sense of competition than ever before. Tapping into consumer intelligence offers an exciting opportunity to develop more useful marketing strategies and the benefits appear to outweigh the challenge of striking the delicate balance between offering better customer service and respecting consumer privacy. Marketers who have embraced data-driven marketing to the fullest extent have enjoyed demonstrable results. The travel industry is a leading example – 67 per cent of travel executives claimed that data driven marketing has helped to improve customer engagement and satisfaction. Similarly, the retail industry is enjoying great results – over 55 per cent of retail executives claim to have enjoyed a competitive advantage in customer loyalty and acquisition.
Consumers can experience real benefits from the tailored service that data driven marketing facilitates. From pre-filling online supermarket shopping baskets and saving preferred travel routes to recommending music and films – understanding data can enable consumers to enjoy an efficient, personalized shopping experience.
See our top tips below for an introduction to some of the key considerations for implementing or executing a data driven marketing strategy:
Morten Strand is the chief executive of Cint, a global provider of market research tools for obtaining market insight from survey respondents. With a global reach of more than 10 million people in 57 countries – all recruited through 500 different panel owners like publishers, local media outlets, market research agencies and non-profits – Cint’s exchange platform OpinionHUB is a fully transparent insights marketplace, bringing together questions and answers from all around the world.
Big data is a term that’s been bandied about for some years now and can no longer be considered a technology buzzword. Many have tried to define, then redefine and re-label it, mostly in an attempt to try to harness the term to apply it to their job. This has led to it being declared dead in some reports, but it’s really only the term that this has been applied to.
Data is extremely valuable to businesses and these days, consumers create an awful lot of it. This is due in part to social media, but also to the connected world, online shopping and more. The sheer amount of data generated can be overwhelming – so how do we make sense of it all?
Big data requires businesses to use software and to some extent hardware to make sense of it in real time. In order for it to be useful, it has to be processed in order to find patterns and predict certain outcomes. With regard to inbound marketing, this information can then be used to better target potential and existing customers with tailored marketing campaigns.
For example, say you’ve just run a campaign for a special promotion. It all goes well and you see a nice spike in traffic to your site as a result. You can see from your analytics program that a good proportion of the traffic has come from Facebook, so you can then re-imagine your campaign to further target these leads.
The above example is an extremely simplified one though. With marketing automation software, you can make further sense of the data in a more thorough and efficient manner. The volume of data that you’re looking at often means that this is a necessity these days, rather than a choice.
Marketing automation software makes sense of the data and arranges it into easily understood metrics that you can take action on. So you may be able to see that certain social media posts have boosted traffic or gained lots of engagement. The software can take the data and create meaning when it comes to lead nurturing and do it all without much intervention to you. This could mean that it will send a few automated but personalised emails to those that have been qualified as warm leads containing information which may convert them to a sale. There is a variety of platforms available, Search Engine Land has recently published a guide which may help you choose the right platform for your business.
Think Amazon. When you make a purchase, often within a day or so you will receive an email with offers that are targeted depending on your previous purchase. This is big data and marketing automation in action and it doesn’t just have to be applied to sales, it can be used at any point in the sales funnel.
It can also be integrated with other software systems such as your CRM in order for sales teams to gain a unique perspective of the customer.
Big data is powerful. Not only does it give you access to unprecedented amounts of information about your customers, it drives decisions within businesses and converts leads. The biggest issue most companies have with data is finding the correct people to interpret its trends and patterns in order to produce actionable insights.
Marketing automation software is without doubt a gift from the gods, but it still requires some human intervention which should be able to produce results. However, these days we’re all gaining more and more digital skills year-on-year, so it’s highly likely that we’ll continue to see data being used increasingly effectively for some time yet.
Coupled with inbound marketing, there is less irritation to the consumer (sales pitches that they don’t want) and more opportunity for business to target the right customers – those who will buy.
Icon Source: Icons made by Freepik from www.flaticon.com