3 Reasons Most Enterprises Aren't Ready For Advanced Analytics Strategies
May 20, 2016

Dan Ortega
Blazent

Share this

"Data, data everywhere, and not a drop to drink." All businesses are fully aware of how much data they're swimming through on a daily basis. And because its buzzy and trendy, most of these businesses are looking to do more with their data, striving to implement cool sounding technologies like machine learning and predictive analytics.

How many, exactly? 41% of executives in a recent 451 Research survey of advanced analytics are looking to begin implementing applications such as Machine Learning or Predictive Modeling in the next 12 months, and an additional 14% plan to do so in the next 24.

And why shouldn't they? These sophisticated programs are highly efficient and represent the future of many different verticals supported by the technology industry.

Yet as enterprises and their leadership see these initiatives on the horizon, a startling number are overlooking a crucial factor that could make or break the success of these investments: the quality of their own data. With some enterprises curating up to 200 disparate data sources, ensuring data quality is no easy task. But getting it right can literally make the difference between a very public crash 'n' burn, or being the standard that everyone tries to emulate.

Here are three reasons why the average enterprise isn't properly prepared for an advanced analytics strategy.

Reason 1: Medieval Methods for Managing Data Quality

According to the survey, 37% of enterprises employ a manual data cleansing process. Given current data volumes, manually cleaning something isn't so 1990s, it's actually more like 1500s. Many of these enterprises are starting to look towards algorithmic automation – but how can they successfully automate advanced processes when their back-end data quality checks remain manual?

44.5% of respondents are in a reactive mode, meaning they only deal with their data quality when it becomes a problem … that they notice (and by the way, their customers noticed way before they did).

The majority of respondents (65%) acknowledge up to 50% of business value can be lost to poor data quality – think that number is going to decrease when the number of initiatives that rely on clean data increases?

Reason 2: Businesses Don't Know The Exact Quality of Their Data

Because of these current Data Quality Management "strategies", IT departments and C-suite executives have a lack of faith in the actual quality of their data.

Over half (57%) of respondents in this survey were "somewhat confident", "unaware", or "less than confident" in the state of their data. Not exactly a resounding endorsement.

This feeling is compounded by the dependency on manual effort to drive remediation in many enterprises' data quality process. Manual entry was the leading cause of poor data quality, also coming in at 57%.

To be fair, you can't blame employees for making mistakes in data entry or processing, but you can blame their management for not providing them with the right tools to handle the volume of data they face every day.

Reason 3: The Stream of Data Today is About to Become a Tsunami

If proper preparations aren't undertaken right now with the relatively manageable amount of data that currently exists, it will be not just be harder, it will be impossible to get a handle on it at the rate that data sources and volumes will continue to expand over the next 3-5 years.

95% of survey respondents acknowledge they expect data to increase (the other 5% presumably in businesses that won't be around in five years).

70% expect data volumes to grow by 70%, while nearly all of the remaining 30% expect it to grow by more than 75%. Chances are, all of them are underestimating what's headed in their direction.

The problems faced by the enterprise today are significant, but can be managed if IT executives deal with the data quality issue now. Tools and technologies are available to ensure viable data quality, which becomes the foundation for growth and value-add, but the choice to act now or quickly get buried is in our collective face, and requires immediate action.

Dan Ortega is VP of Marketing at Blazent.

Share this

The Latest

April 21, 2017

In the spirit of Earth Day, which is Saturday, April 22, we recently asked IT professionals for the tips and tricks they're using to help keep their data centers as green as possible. Here are a few ideas inspired by the responses we got ...

April 20, 2017

Almost One-Third (28 percent) of IT workers surveyed fear that cloud adoption is putting their job at risk, according to a survey conducted by ScienceLogic ...

April 19, 2017

A majority of senior IT leaders and decision-making managers of large companies surveyed around the world indicate their organizations have yet to fully embrace the aspects of IT Transformation needed to remain competitive, according to a new study conducted by Enterprise Strategy Group (ESG) ...

April 18, 2017

The move to cloud-based solutions like Office 365, Google Apps and others is one of the biggest fundamental changes IT professionals will undertake in the history of computing. The cost savings and productivity enhancements available to organizations are huge. But these savings and benefits can't be reaped without careful planning, network assessment, change management and continuous monitoring. Read on for things that you shouldn't do with your network in preparation for a move to one of these cloud providers ...

April 17, 2017

One of the most ubiquitous words in the development and DevOps vocabularies is "Agile." It is that shining, valued, and sometimes elusive goal that all enterprises strive for. But how do you get there? How does your organization become truly Agile? With these questions in mind, DEVOPSdigest asked experts across the industry — including analysts, consultants and vendors — for their opinions on the best way for a development or DevOps team to become more Agile ...

April 12, 2017

Is composable infrastructure the right choice for your IT environment? The following are 5 key questions that can help you begin to explore the capabilities of composable infrastructure and its applicability within your own IT environment ...

April 11, 2017

What is composable infrastructure, and is it the right choice for your IT environment? That's the question on many CIOs' minds today as they work to position their organizations as "digitally driven," delivering better, deeper, faster user experiences and a more agile response to change in whatever vertical market you do business in today ...

April 10, 2017

As companies adopt new hardware and applications, their networks grow larger and become harder to manage. For network engineers and administrators, the continued emergence of integrated technology has forced them to reconfigure and manage networks in a more dynamic way ...

April 07, 2017

The complexity of data in motion is growing and risks undermining the success of the modern data-driven enterprise. A recent survey of data engineers and architects, conducted by StreamSets, sought to bring some perspective to the new reality in the enterprise, leading to some interesting insights about the enterprise data landscape ...

April 06, 2017

The biggest factor driving happiness is the quality of relationships IT professionals have with their coworkers, including users, peers, and managers, according to the 2017 IT Job Satisfaction report from Spiceworks ...