As customers recover control over their data,
how can businesses ensure that data is maintained safely and collected
responsibly? In 2019, most businesses would agree that they have access to
large volumes of data about their customers. Companies collect and store
massive amounts of data every day, from cookies on websites to tracking
customer locations. Recent European legislation (GDPR) and those set to take
effect in California signal the start of a journey for consumers to recover
control over their data. However, there is still work to be done within
enterprises to ensure that members' data is
maintained safely and collected properly.Like any other business, a membership
organization cannot succeed without high levels of membership (customer)
participation and satisfaction. However, you can't expect members to
enthusiastically get on board when the organization's services are expanded
with additional programs or goods to boost customer satisfaction and market share.
Instead, you should research to determine the
pulse of your membership base. You'll be able to use the information to create
strategies and activities that preserve or grow client loyalty, improve member
experiences, and bring in new customers.
How do you define data quality?
The examination of members' data against
its purpose and capacity to accomplish it is known as data quality. To put it
another way, data quality is determined by the context and the demands of the
data consumer. It requires effective Data Quality Management to be optimized.
"A set of roles and duties, organizational setup, processes, procedures,
and policies used to define, measure, control, maintain and enhance data
quality," according to the definition. It aids in determining whether your
data is suitable for use.
Five strategies for businesses to become
data-savvy
1. Be respectful of the person behind the data.
Organizations should remember that personal
data represents real people when collecting it. Decision-makers should think
about how they would want their own members' data to
be handled by a corporation and apply those ideas to the company's processing
operations.
It's all too easy for businesses to forget that
personal information belongs to the person who provided it, not the corporation
that obtained it. As an organization, you are responsible for ensuring that the
personal data you collect is protected from unauthorized access or disclosure
without data subjects' explicit and informed consent. Unauthorized data use
might have disastrous consequences for the data subject if made public or
misused by someone with bad intentions.
2. Invest in the Right Data Management
Resources (Even if They're From Outside)
Personal data processing can unleash an
organization's potential, but it should be treated as a valuable asset that
must be protected whenever it is used. It's critical to invest in both human
and technical resources that will help you to manage your dataflows
effectively. It entails investing in cybersecurity and educating your
operational employees.
When processing personal data, organizations
should carefully curate the tools and processes they use, choosing systems that
ensure privacy by design and default are incorporated into processing
activities. The tools should assist in keeping promises made to data subjects
(as well as legal obligations).
Another option to process data effectively and
safely is to hire independent data protection and privacy experts. Both SMEs
and large multinationals should ensure that their decisions about personal data
are in line with the rapidly evolving practice and that they receive an outside
perspective that isn't motivated by profit. Personal data processing can
unleash an organization's potential, but it should be treated as a valuable
asset that must be protected whenever it is used.
3. Be Open and Honest
Organizations must be honest with the people
they collect data from about the data they gather and what they plan to do with
it (including with whom it will be shared, in what form, and under what terms).
Everyone, regardless of age or technical ability, should be aware of the
company's aims.
It must cover both current and future data
usage plans. Data participants dislike being surprised by a change in the aim
made without their awareness. Organizations should consider how they will
utilize personal data now and how they will use it in the future. These plans
should be presented to persons who supply data to an organization to develop
confidence.
4. Profit from your company's data management
plan.
You can uncover practical methods to operate
your company better if you access relevant data and employ modern members'
data analytics approaches. You can develop and measure Key
Performance Indicators (KPIs) to assess how effective your efforts are, whether
you want to sell more, minimize risk, improve customer service, or maximize
resource use.
KPIs can be generated for specific projects or
marketing initiatives and certain areas or divisions within the firm. KPIs
provide an objective approach to evaluate the performance of vendors and
external partners and a foundation for rewarding internal staff. KPIs can be
thought of as road signals on the way to success. Their regular monitoring
assists you in making the best decisions, focusing on results-oriented
investments, and steering your company in the right way.
Companies are gathering an increasing amount
of members' data analytics, yet raw data does not
generate much economic value on its own. Your company's capacity to turn data
into information – and insights – will set you apart from the competition in
today's digital world. To ensure your organization thrives for years to come,
you'll need an effective data management plan, a skilled team, suitable
safeguards, and meaningful measurements.
5. Understand the Data Flows
Organizations are responsible for the data they
collect and use. It is not a valid reason to evade responsibility for data
breaches if they do not know the data source or the conditions under which they
can access it. As a result, businesses should be aware of all data entering and
leaving the organization across all departments.
Many businesses only need to make minor
adjustments to become data-savvy. Companies can't afford to secure consumer
data when consumers trust them to manage their information responsibly.
Conclusion
If you want to expand your firm and members'
data analytics, be sure you're prepared to handle the inevitable
expansion. To do so, you must first ensure that your funds are in order. Make a
habit of keeping track of your receipts and transactions. Make sure you're
prepared for any taxes that must be paid during the year. If you keep your
finances in order, you should keep your working space in order as well.
Organize your storage area using some tried and true ways for increasing
efficiency.
Consider going paperless, even if it isn't the
best option for everyone. All of your documents should be stored in the cloud,
and any papers cluttering your workspace should be shredded. Your time is one
of your most valuable assets as a small business owner, so keep it organized
with time tracking and scheduling. Improve your email process, manage your
reading list, and keep your notes, passwords, and desktop organized to reduce
your tasks. Finally, automate your marketing efforts and create a system for
customer service and assistance.
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