Close
  • Latest News
  • Artificial Intelligence
  • Big Data and Analytics
  • Cloud
  • Networking
  • Cybersecurity
  • Applications
  • IT Management
  • Storage
  • Sponsored
  • Mobile
  • Small Business
  • Development
  • Database
  • Servers
  • Android
  • Apple
  • Innovation
  • Blogs
  • PC Hardware
  • Reviews
  • Search Engines
  • Virtualization
Read Down
Sign in
Close
Welcome!Log into your account
Forgot your password?
Read Down
Password recovery
Recover your password
Close
Search
Logo
Logo
  • Latest News
  • Artificial Intelligence
  • Big Data and Analytics
  • Cloud
  • Networking
  • Cybersecurity
  • Applications
  • IT Management
  • Storage
  • Sponsored
  • Mobile
  • Small Business
  • Development
  • Database
  • Servers
  • Android
  • Apple
  • Innovation
  • Blogs
  • PC Hardware
  • Reviews
  • Search Engines
  • Virtualization
More
    Home Applications
    • Applications
    • Big Data and Analytics
    • IT Management

    6 Top Data Analytics Trends in 2022

    Data analytics trends like the growth of AIOps and "small data" are influencing this emerging technology, enabling it to progress at a faster rate.

    By
    Yousef Fatehpour
    -
    November 19, 2021
    Share
    Facebook
    Twitter
    Linkedin

      Data analytics has become a chief driver of competitive advantage in the last few years. Given its critical importance, it’s essential that businesses stay current with top trends in the data analytics space, along with how those trends influence a number of related technologies.

      Those related technologies include cloud computing, the growth in artificial intelligence software, machine learning, and edge computing, among several others. Let’s explore some top trends shaping the future of data analytics.

      6 Data Analytics Trends Driving Progress

      Growth of AIOps

      The growth of AIOps is parallel that of data analytics. This is because it addresses the biggest issue that data analysis faces moving forward: abundance.

      With the evolution of 5G and the Internet of Things (IoT), as well as higher consumer and user analytics, IT teams handle far too much data for traditional methods to handle. AIOps accounts for this, and moves towards a holistic approach towards analyzing data. Expect AIOps to accelerate the transition away from data silos.

      The rise of AIOps will bring a number of benefits for how businesses leverage data and analytics. One major benefit of the growth of AIOps is preventing alert fatigue. Because AIOps account for a massive amount of data, software solutions built with AIOps at their core can filter through alerts by understanding which events are essential and immediate, and which are less important outliers.

      Data Democratization

      Data democratization refers to the practice of making data accessible throughout all departments of a business, not just the C-suite and IT team. Data democratization is at the core of digital transformation.

      This idea of understanding and accessing data no matter your tech expertise can bring about new self-service data analytics tools. We’re already seeing this with low-code solutions.

      There are a number of benefits to data democratization to look forward to:

      • Customer intent. Because data democratization allows for multiple departments to analyze and leverage data sets, a company’s understanding of customer intent will grow to be more diverse.
      • Efficiency. Data democratization will usher in wide use of efficient tools such as AI analytics and cybersecurity software. On a deeper level, employees will truly understand the data they have access to, which minimizes confusion through cross-department communications.
      • Customer service. Because data democratization reveals a more diverse scope of intent as well as greater efficiency, the customer experience is naturally improved for many businesses. One example of this is your help desk team having access to preferred contact information and previous shopping data. This helps tailor your customer service.

      Low-Code Solutions

      As mentioned above, low-code solutions are on the rise. A huge reason for this is the growth of data democratization and the industry-wide embrace of data analytics as a whole. This rise of solutions that allow for data analysis in a user-friendly manner can bring about major shifts for businesses.

      One of the major benefits behind the rise of low-code solutions is improved access to analysis of customer journeys. Low-code solutions allow for departments other than your development and IT teams to analyze data. Giving other departments this access will not only grow company culture and provide more in-depth analysis, but also upskill employees as a whole.

      Data Integration

      With the rise of data democratization on the horizon, expect the overall experience of attaining data to grow easier as well.

      One of the main ways this is expected to occur is through stronger data integration in software solutions that employees already use. Instead of data analytics being siloed away into their own programs, insights can directly show up in applications and interfaces businesses already work with.

      Data integration goes hand in hand with greater efficiency as well. This is because users can receive relevant data and information directly without switching software. This eliminates potential user error due to the lack of searching that employees need to do to find data.

      Small and Wide Data

      The idea of small and wide data has grown as a counterpart to big data. This trend points to a new way of thinking about and analyzing data sets.

      Wide data enables analysis from a variety of unstructured and structured sources. This wide variety allows for greater contextual understanding, which could lead to better or more unique solutions. Small data extracts from data models that have less data, but still offer unique insights.

      Combined, small and wide data allow for fresh, insightful contextual lenses for data analysis.

      Data Analytics at the Forefront

      Finally, expect to see data analytics move increasingly to the forefront of business operations. Businesses historically saw data analysis as a secondary function. This shift to data analysis as the leading aspect of business operations is driven by the competitive edge offered by analytics, and by today’s technical infrastructure, which supports faster processing.

      One of the main benefits of this embrace of analytics is the improved agility and responsiveness of enterprises. Scalability and improved revenue will surely be implications of data analytics entering the forefront of business operations.

      Yousef Fatehpour
      Yousef's primary areas of interest are software design, user journeys, and how user experience is handled across software markets. Yousef also has experience in product design and multimedia content production.
      Get the Free Newsletter!
      Subscribe to Daily Tech Insider for top news, trends & analysis
      This email address is invalid.
      Get the Free Newsletter!
      Subscribe to Daily Tech Insider for top news, trends & analysis
      This email address is invalid.

      MOST POPULAR ARTICLES

      Latest News

      Zeus Kerravala on Networking: Multicloud, 5G, and...

      James Maguire - December 16, 2022 0
      I spoke with Zeus Kerravala, industry analyst at ZK Research, about the rapid changes in enterprise networking, as tech advances and digital transformation prompt...
      Read more
      Applications

      Datadog President Amit Agarwal on Trends in...

      James Maguire - November 11, 2022 0
      I spoke with Amit Agarwal, President of Datadog, about infrastructure observability, from current trends to key challenges to the future of this rapidly growing...
      Read more
      IT Management

      Intuit’s Nhung Ho on AI for the...

      James Maguire - May 13, 2022 0
      I spoke with Nhung Ho, Vice President of AI at Intuit, about adoption of AI in the small and medium-sized business market, and how...
      Read more
      Applications

      Kyndryl’s Nicolas Sekkaki on Handling AI and...

      James Maguire - November 9, 2022 0
      I spoke with Nicolas Sekkaki, Group Practice Leader for Applications, Data and AI at Kyndryl, about how companies can boost both their AI and...
      Read more
      Cloud

      IGEL CEO Jed Ayres on Edge and...

      James Maguire - June 14, 2022 0
      I spoke with Jed Ayres, CEO of IGEL, about the endpoint sector, and an open source OS for the cloud; we also spoke about...
      Read more
      Logo

      eWeek has the latest technology news and analysis, buying guides, and product reviews for IT professionals and technology buyers. The site’s focus is on innovative solutions and covering in-depth technical content. eWeek stays on the cutting edge of technology news and IT trends through interviews and expert analysis. Gain insight from top innovators and thought leaders in the fields of IT, business, enterprise software, startups, and more.

      Facebook
      Linkedin
      RSS
      Twitter
      Youtube

      Advertisers

      Advertise with TechnologyAdvice on eWeek and our other IT-focused platforms.

      Advertise with Us

      Menu

      • About eWeek
      • Subscribe to our Newsletter
      • Latest News

      Our Brands

      • Privacy Policy
      • Terms
      • About
      • Contact
      • Advertise
      • Sitemap
      • California – Do Not Sell My Information

      Property of TechnologyAdvice.
      © 2022 TechnologyAdvice. All Rights Reserved

      Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.

      ×