If you’re
in the business which is fairly large, you’ve got some sensitive information to
get along with your business. In fact, you possibly have a Big portion of
sensitive data spread all over places (internal and external). What you are
missing is adequate data management best
methodologies that could help you get to all of that data and take a closer look at it. Doing that just might give business insight that could push your operational performance into a brand new market, or send profits climbing beyond all expectations.
methodologies that could help you get to all of that data and take a closer look at it. Doing that just might give business insight that could push your operational performance into a brand new market, or send profits climbing beyond all expectations.
But
The big question is here:
- which coherent data is relevant to your business?
- how it can be retrieve from resources?
- Can you access it when you want it?
- Do you know that it’s accurate, up-to-date, hygienic and comprehensive?
- Can you easily pull all the data together, no matter what format it’s in or how often it changes?
- Is your data ready to support business analytics?
- Most of the time you forgot the basic need before you can use that visualise data, you need to squeeze out potential data first. for that data management exist.
Data management Application
= Appropriate Data analytics
So many companies have
done data analytics on inappropriate data which is not potential for business
growth or any aspect Such as:
Ø
Incomplete Data
Ø Unstructured Data
Ø Unstructured Data
Ø
Duplicate Data
Ø
Corrupt Data
Ø
Outdated Data
Until and unless those companies find better option to manage
their data, the results of their analytics is inappropriate. So why it’s
necessary to manage filtered data which is ready for analytics. Most of the
data scientist spent around 50% to 80% of their Model Development time for data
preparation.
Be familiar with your industry’s compliance needs.
Depending on the kind of business you’re in, it’s
important to have a thorough understanding of what you need to remain fully
compliant in choosing your data management solutions.
Example; the financial services or healthcare industry
are highly-regulated industries that follow strict rules. Publicly traded
companies must follow to certain laws. Failure to follow to the rules could
lead to penalties
Use the right Data Management
Platform for the Right Purpose:
Choosing random data storage and
processing platform does not mean that will give you right data. It’s a massive
parallel process of relational, data warehousing, business intelligence &
application specific platform for the right purpose and you can create
structured or mapped data that gives organization a chance at rapid innovation.
Optimum utilization of old & new data
Ø Generally, more data
means better forecasting, so more data is better when how much data process by
your company, with access to more data, it’s easier to quickly fix which data
will best useful to predict a visualize result. Nitai Partners Inc helps by offering an appropriate data access methodology
that make it easy to work with a variety of data from ever-increasing sources,
formats and structures.
Better data collection system with advanced analytic techniques.
Ø Nitai Partners Inc delivers cultured statistical analysis abilities inside
of the ETL flow such as:
·
Segregation of data
·
Correlation of data
·
Predictive Analysis of data
·
Visualization of data
Data scrubbing to improve quality into existing developments.
Ø Up to 40 percent of all
strategic processes fail because of poor data.
Ø With the help of capable
data management system, you can extract potential data & clean
inappropriate data. Leads to data performance, better data processing & data
binning (Divide data in to smaller groups).
Flexible data management for data shaping
·
Merging
·
Transforming
·
de-normalizing
·
sometimes aggregating your source data from multiple
tables into one very wide table, often called an analytic base table (ABT).
Nitai Partners Inc simplifies data exchange with understandable, Visualize reports
for transformations. Plus, it lets you use other reshaping transformations like
frequency analysis, appending data, partitioning and combining data, and
multiple summarization techniques.
Share metadata across data management and analytics domains.
A common metadata layer lets you consistently repeat your data
preparation processes. It promotes collaboration, provides lineage information
on the data preparation process, and makes it easier to deploy models. You’ll
notice better productivity, more accurate models, faster cycle times, more
flexibility, and auditable, transparent data.
Always prioritize
data security.
Data must be secured, both virtually and physically as
well as encrypted, just in case your information is hacked by unscrupulous
third parties. One way to physically secure data is by backing up data to tape
and housing it in an outside location, so that in the case of force majeure,
it’s possible to recreate the data or the whole system, as needed.
Make sure your
stored data can be found once it’s in storage.
Don’t bury your data under piles and piles of archives
or elaboration encryption methods. While security is important, it is equally
vital for you to be able to easily search the data and get correct information
instantly, especially in urgent situations like in an event of a litigation or
some other proceedings that will require accurate data given in a timely
manner.
Have a data recovery plan:
Have a data recovery plan:
What use does your back up data have if you’re unable
to recover it when the unforeseen strikes? It’s not enough to have your
business data securely in place, you should know what steps to take when the
need to activate your data recovery methods takes place. Do regular and random
testing, ideally on a weekly basis, and also include an auditing team to take a
look at your data pools.
Outsource your data management activities to a reliable vendor
Doing so allows you to focus on your business’s core
competency while experts in data management solutions take care of your data
storage needs. Hiring an offsite expert like Nitai Partners Inc is a cost-effective means of keeping your data safe
and secure because reliable vendors take the time to know the latest technology
and compliance updates and apply these solutions to your business. A good data
management outsourced solution can also give you expert advice on the best
course of action to take.
Having accurate research is crucial in devising
various marketing and advertising materials for your target market, while
taking into account their needs as well as the advantage of your competitors.
We can help you come up with comprehensive strategies through our extensive
research services, which are carefully tailored for your immediate business
concerns. Learn more!
Data: The
foundation for decisions
Analytics may be one of the hottest IT topics around these days
– it is, undeniably, very sexy technology. But as you dream about the magic of analytics, remember this: Underlying analytics is data. Don’t
underestimate how important it is to do your data right.
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