Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: CIO Priorities for 2017 – Managing the Tech and Talent Challenges
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > IT > Hardware > CIO Priorities for 2017 – Managing the Tech and Talent Challenges
Big DataHardwareITSoftware

CIO Priorities for 2017 – Managing the Tech and Talent Challenges

Annie Bustos
Annie Bustos
5 Min Read
Image
SHARE

Image

The approach of a new year brings about thoughts for the future. For CIOs, it’s a time to consider the year ahead and create a priority list for both staffing needs and the platforms and tools that will be refined or implemented. The challenge lies in finding capable team members to lead the latest initiatives and to put in place new solutions that will improve internal efficiencies while driving positive customer experiences. 

Image

More Read

Is your data complete and accurate, but useless to your business?
Big Data Solves Website Loading Issues For Foreign Traffic
On the Beauty of Data Mining
Big Data and Business Intuition Work Together
IBM and ILOG – What Else?

The approach of a new year brings about thoughts for the future. For CIOs, it’s a time to consider the year ahead and create a priority list for both staffing needs and the platforms and tools that will be refined or implemented. The challenge lies in finding capable team members to lead the latest initiatives and to put in place new solutions that will improve internal efficiencies while driving positive customer experiences. 

Consider these top priorities for CIOs for 2017: 

Creating Digital Ecosystems

For some context, let’s define a digital ecosystem as a variety of elements such as companies, tools, and actual people sharing information through digital platforms in order to reach certain goals. The point of this new type of connection is to encourage closer interactions between companies and partners, and even for unknown groups to establish connections. To achieve this, CIOs should push forward projects that allow interoperability, in terms of cloud, analytics, security, and other solutions that work better when data can flow freely. 

Proactively Managing the Skills Gap

CIOs that want to implement the latest data-driven tools and platforms will look to automation and the cloud to simplify and streamline, but they still need experts on staff. The trick for 2017 and beyond is how to manage the looming skills gap, especially as it pertains to finding staff members with the requisite data science and analytics talents. Data is now real time, through IoTadvances and a broader interconnectedness of systems and information. New skills are needed to manage all of this information and to understand how to derive actual insights. CIOs and their managers will need to hire the right staff members (without paying exorbitant salaries) and be smart about developing the skills of current staff to prepare them for the new tech challenges. 

Embracing Bimodal IT

The commonly accepted definition of bimodal IT is a model where delivery of IT services is separated into an area focused on stability, and one on agility. There are criticisms to the model, but it’s a way to manage those things that are relatively well understood and a different way to manage unknown or uncertain issues, where testing and experimentation are needed.  One caveat to the approach is that it can lead to IT not advancing updates or innovations to back-end systems, so CIOs need to be sure all systems are carefully reviewed for possible stagnation. 

According to analysts at Gartner, the adoption of bimodal IT is crucial to the digital ecosystem’s development, as the “agility” mode drives innovation through experimentation. 

Spending Wisely

Gartner’s reporting also found an increase in how willing CIOs are to allocating spending on efforts that will help digitize their business, with a mark of 18% of the budget, a number that will likely jump to 28% by 2018. Unsurprisingly, some of the top platforms are BI, analytics, various cloud services, and security. Many of these are tools that can bring efficiency to the workforce while also improving the all-important customer experience. CIOs should conduct cost/benefit analyses to gauge the short and long-term impacts of various new platforms in order to make transformative impacts. 

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data science professor
The Power of Warm-Ups: Setting the Stage for Learning
Exclusive News
cloud dataops for metering
Taming the IoT Firehose: How Utilities Are Scaling Cloud DataOps for Smart Metering
Cloud Computing Exclusive Internet of Things IT
ai in video game development
Machine Learning Is Changing iGaming Software Development
Exclusive Machine Learning News
media monitoring
Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
Analytics Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

2013 Big Bucks for IT Pros

3 Min Read

Business Intelligence (BI) Industry Jargon

4 Min Read
big data marketing
Big DataData MiningHadoopMarketingMarketing AutomationPrivacyText Analytics

Have Marketers Taken Big Data Too Far?

4 Min Read

Asia remains lucrative BI market

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?