• Home
  • About Us
  • Contact Us
  • Privacy Policy
  • Special Offers
Business Intelligence Info
  • Business Intelligence
    • BI News and Info
    • Big Data
    • Mobile and Cloud
    • Self-Service BI
  • CRM
    • CRM News and Info
    • InfusionSoft
    • Microsoft Dynamics CRM
    • NetSuite
    • OnContact
    • Salesforce
    • Workbooks
  • Data Mining
    • Pentaho
    • Sisense
    • Tableau
    • TIBCO Spotfire
  • Data Warehousing
    • DWH News and Info
    • IBM DB2
    • Microsoft SQL Server
    • Oracle
    • Teradata
  • Predictive Analytics
    • FICO
    • KNIME
    • Mathematica
    • Matlab
    • Minitab
    • RapidMiner
    • Revolution
    • SAP
    • SAS/SPSS
  • Humor

Survey: BI implementation remains top software priority

May 7, 2016   BI News and Info

Despite the continued prominence of big data and growing interest in advanced analytics practices, traditional business intelligence, analytics and data warehousing remain a top priority for most businesses, according to Tech Target’s 2016 IT Priorities survey.

Business intelligence, analytics and data warehousing was the top software category enterprises plan to implement in 2016, with 27.5% of respondents listing it as a priority. BI implementation and data warehousing beat out big data analytics (19.4%), data integration (18.5%) data governance and quality (17.1%) and data visualization (16.1%).

Other top software priorities in non-data-centric categories included packaged business applications like CRM and ERP (20.9%), mobile applications (20.9%) and business process automation (17.5%). The survey included responses from 382 IT workers and business analysts in North America.

“I can see a lot more predictive analytics being built into systems, but it’s not completely necessary if you track your own trends and follow up,” said Colby Lutz, a BI analyst at Trivergent Health Alliance, a management services company formed by three Maryland hospitals.

BusApps ITpriorities 2016 mobile Survey: BI implementation remains top software priority

Lutz spends the majority of his time developing reports for Western Maryland Health System, one of the providers in the Trivergent network. The reports track patients who frequently visit the emergency department and identify possible ways to address their health concerns before they show up the next time. The reports also monitor care provided to patients by specific physicians, which allows management to identify staff members who might require more training on following recommended treatment guidelines.

Being able to track these fairly simple metrics through BI software tools has made Western Maryland a much more data-driven organization, Lutz said.

Data integration remains hot field

In this year’s survey, 18.5% of respondents said they plan to implement a data integration project, putting it third on the list of analytics-focused software initiatives.

It’s not hard to see why it’s such a high priority for enterprises, with the list of big data platforms and management systems proliferating and, at some businesses, growing pressure for data teams to show a return on the technology they’ve invested in. These factors make data integration a clear necessity for many businesses.

This will be one of the primary new software initiatives for Scott Porad, chief technology officer at Rover.com, an online platform for matching dog owners with individuals offering pet care services. Porad said the company doesn’t plan to add any major new pieces of software this year, but he and his team will be tying together what they already have.

He said the company has anywhere from 6 to 12 data sources that he’d like to add into the broader data warehouse, which would expose that data for analysis. The company’s email server is one example. 

Data visualization key to BI implementation

2016 was the first year the priorities survey asked users about their plans to implement data visualization tools, and such plans immediately landed near the top of the list of analytics-related software priorities, with 16.1% of respondents saying they plan to implement visualization technology this year.

To be sure, there’s already been a fair amount of adoption of these tools, but with their ability to serve as both a front end for big data platforms and a self-service data querying tool to give less experienced business users access to a BI implementation, many organizations are looking to expand their adoption.

That’s the case at computer manufacturer Lenovo, which implemented a text analytics and data visualization tool in June 2015. Daniel Bieber, the company’s global analytics architect, said he’s seen some success rolling out visualizations in customer service and sales departments. Now he’s looking for ways to help more lines of business adopt the tool.

“I’ve seen early adopters get in and they’re giving me good feedback about what they’re getting out of the tool,” Bieber said. “As it grows in adoption and the more visibility it gets, we can develop more actionable insights.”

Let’s block ads! (Why?)


SearchBusinessAnalytics: BI, CPM and analytics news, tips and resources

implementation, Priority, Remains, Software, survey
  • Recent Posts

    • Dapper Duo
    • AI Weekly: These researchers are improving AI’s ability to understand different accents
    • Why Choose RapidMiner for Your Data Science & Machine Learning Software?
    • How to Use CRM Integration to Your Advantage – Real World Examples
    • WATCH: ‘Coming 2 America’ Movie Review Available On Amazon Prime & Amazon
  • Categories

  • Archives

    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • March 2020
    • February 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    • December 2016
    • November 2016
    • October 2016
    • September 2016
    • August 2016
    • July 2016
    • June 2016
    • May 2016
    • April 2016
    • March 2016
    • February 2016
    • January 2016
    • December 2015
    • November 2015
    • October 2015
    • September 2015
    • August 2015
    • July 2015
    • June 2015
    • May 2015
    • April 2015
    • March 2015
    • February 2015
    • January 2015
    • December 2014
    • November 2014
© 2021 Business Intelligence Info
Power BI Training | G Com Solutions Limited