It is safe to assume that you have heard of “big data” and
the wealth of information it provides.
Perhaps, you are pushing the decision makers in your organization to
take a leap of faith and invest heavily in the “big data” arena. After all, the information you can derive
from this effort will lead to far greater things, right? Maybe not.
Is 'big data' too much? |
With all of the excitement that “big data” offers, one needs
to step back and evaluate where their organization stands in the analytics
world. Conversations about “big data”
within your organization may result in an ill-advised effort to skip the
natural maturation process of analytics.
Taking too big of a bite into the analytics world before you are ready as
an organization can produce crippling effects and leave you fighting for
survival.
When is “big data” the “right” data?
Before exploring the possibility of using “big data” within
your organization, you must be able to answer the following questions in the
affirmative.
- Does our organizational culture integrate analytics into the decision making and planning processes?
- Are we fully utilizing our existing data, and optimizing our efforts based on that information?
- Do we have the right people, processes, and internal infrastructure to collect greater volumes of data?
- Do we have the right people and resources to optimize our efforts based on even greater amounts of data?
What is the “right” data for me?
All businesses should be taking the necessary steps to
prepare themselves for increased use and volume of data in the coming years. Your goal should be to derive value from the
data that you already have. You must
transform your company’s culture to one that integrates analytics into the
decision making process. Once this is
done, focus on data that provides insight to help guide your company
strategies. The “right” data:
- Identifies new opportunities for your organization.
- Provides insight into your initiatives, indicating what was successful and what was not.
- Reveals what progress you have made, allowing for course correction early on in your initiatives.
- Allows optimization based on your findings.
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