By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    data science anayst
    Growing Demand for Data Science & Data Analyst Roles
    6 Min Read
    predictive analytics in dropshipping
    Predictive Analytics Helps New Dropshipping Businesses Thrive
    12 Min Read
    data-driven approach in healthcare
    The Importance of Data-Driven Approaches to Improving Healthcare in Rural Areas
    6 Min Read
    analytics for tax compliance
    Analytics Changes the Calculus of Business Tax Compliance
    8 Min Read
    big data analytics in gaming
    The Role of Big Data Analytics in Gaming
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: 6 Business Intelligence Trends to Watch For in 2019
Share
Notification Show More
Latest News
ai in automotive industry
AI Is Changing the Automotive Industry Forever
Artificial Intelligence
SMEs Use AI-Driven Financial Software for Greater Efficiency
Artificial Intelligence
data security in big data age
6 Reasons to Boost Data Security Plan in the Age of Big Data
Big Data
data science anayst
Growing Demand for Data Science & Data Analyst Roles
Data Science
ai software development
Key Strategies to Develop AI Software Cost-Effectively
Artificial Intelligence
Aa
SmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > 6 Business Intelligence Trends to Watch For in 2019
Business IntelligenceExclusive

6 Business Intelligence Trends to Watch For in 2019

Kayla Matthews
Last updated: 2018/12/29 at 9:54 PM
Kayla Matthews
8 Min Read
business intelligence trends to watch
Shutterstock Licensed Photo - By Sergey Nivens
SHARE

The goal of business intelligence (BI) is to thoughtfully and purposefully collect and analyze past information to support an organization and make better decisions about it. As the new year approaches, 2019 business intelligence trends are creating a buzz. Even though the reason why companies engage in business intelligence remains relatively consistent from year to year, the ways those establishments go about it differ over time. Here are six business intelligence trends likely to play out in 2019.

Contents
1. Increased Investment in and Adoption of Artificial Intelligence2. The Use of Big Data to Support the Greater Good3. A Priority Placed on Data Governance4. Small Companies Will Continue to Show Interest in Business Intelligence5. Self-Service BI Interfaces Will Generate Impressive Outputs6. An Ongoing Need to Interpret Data Through StorytellingPreparedness Is Essential for BI Success

1. Increased Investment in and Adoption of Artificial Intelligence

Artificial intelligence (AI) is already starting to take off, and analysts believe that if companies have not already begun adopting it, they risk falling further behind in 2019. Research shows 38 percent of businesses have already implemented AI in some form, and an even larger percentage of businesses are evaluating the technology’s worthiness and doing proofs-of-concept for AI. Artificial intelligence platforms can evaluate data inputs faster than humans can, plus uncover notable things people may miss without relying on technology. Some types of AI could provide information directly from customers in streamlined ways. For example, a 2016 poll found 80 percent of companies were already using chatbots or wanted to do so by 2020. Businesses could glean valuable things from chatbots, particularly by paying attention to the words people use and the sentiments expressed. These statistics illustrate how AI is not a fad. Businesses that wait too long to deploy it will be forced to try and catch up later.

2. The Use of Big Data to Support the Greater Good

Business intelligence doesn’t only mean learning how to make improvements that support a company’s operations. There is a growing emphasis on using data for positive social change, and especially doing so collaboratively through so-called “data commonwealths.” By pooling efforts across organizations, it’s possible to maximize labor outputs and access to data that could help develop new ideas. Although it’s probable that working with data together for altruistic reasons will become prominent in 2019, some companies have been focusing on it for a while. In 2013, MasterCard created an independent subsidiary dedicated to data applications for social good. It’s wise for companies to begin evaluating how data collaboration could fit into their corporate social responsibility plans. Doing that could result in progress that extends further than business profits. For example, research indicates millennials prefer to work at companies that give back. So, companies may be able to attract even more talented workers while finding out about how business intelligence relates to social improvements.

3. A Priority Placed on Data Governance

The results from a poll of more than 2,600 respondents associated with business intelligence found that those individuals rated data governance as something that has above-average importance in their work now and would through 2019. More specifically, they gave it an overall rating of 6.2 out of 10, and the emphasis placed on it went up in particular industries, such as banking and telecommunications. Data governance is crucial for any enterprise that hopes to effectively learn valuable things through business intelligence efforts. If the data collected contains duplicate or inaccurate information, the poor quality could cause a lack of confidence in company leaders, making a focus on business intelligence no longer worthwhile. Also, with the General Data Protection Regulation (GDPR) now in effect in the European Union and a similar regulation coming into effect in California in 2020, it’s more important than ever for companies to ensure they do not overlook data governance and can rest assured they are in compliance with all applicable laws.

More Read

data security in big data age

6 Reasons to Boost Data Security Plan in the Age of Big Data

Maximize Tax Deductions as a Business Owner with AI
How Big Data Is Transforming the Maritime Industry
Utilizing Data to Discover Shortcomings Within Your Business Model
Embedded BI Tools Bring Huge Benefits to Business Applications

4. Small Companies Will Continue to Show Interest in Business Intelligence

Statistics show that businesses with fewer than 100 employees had the highest adoption rate of BI in 2018. That finding means company representatives should not assume that a small size makes BI applications irrelevant. And using BI at a smaller organization can increase the feeling of ownership that each member of a team has towards progress at an organization. The trend of BI software throughout smaller organizations should continue in 2019, especially as a growing number of providers make their offerings increasingly accessible and affordable. Even enterprises on shoestring budgets, like startup companies, can fit them into their budgets.

5. Self-Service BI Interfaces Will Generate Impressive Outputs

Self-service BI interfaces may make it so that some companies do not need to bring data scientists on their team right away to take deep dives into analytics. However, a study of business leaders in the United Kingdom shows that 80 percent of respondents plan to hire data scientists or get data consultations next year. However, a separate study from Gartner sheds light on the prominence of self-service BI interfaces. It predicts that such software will produce more analysis information than data scientists by 2019. The research also revealed that companies consider BI as something that differentiates them in the marketplace and helps promote a data-driven culture in organizations. If companies have not already started to use BI, self-service software could be a smart place to start. However, before investing in such tools, businesses must evaluate what they hope to learn from BI and how such insights fit into the company’s overall business operations.

6. An Ongoing Need to Interpret Data Through Storytelling

Conferences, including San Francisco’s Data Visualization Summit, will highlight data storytelling in 2019, and that’s in addition to events like the Tapestry Conference that just had its sixth-annual gathering in November 2018 and primarily explores how to interpret data through the principles of storytelling. Data storytelling will remain essential through 2019 because of the way it adds vital context to statistics. After all, even the most advanced business intelligence platforms still need people who are skilled in data literacy to interpret figures and translate them into meaningful takeaways for businesses and their stakeholders. In other words, the stories told can answer the “So what?” question that business leaders understandably have when looking at information. Many people can’t see the big picture when staring at spreadsheets full of numbers or detailed bar graphs. But pulling relevant stories from data could make the insights more useful and applicable to businesses of all types.

Preparedness Is Essential for BI Success

These trends should become ever more apparent as 2018 winds down and 2019 arrives. That means it’s not too early for businesses to think proactively about how to capitalize on these 2019 business intelligence trends in their establishments and adjust their operations accordingly.

TAGGED: 2019 trends, artificial intelligence, big data, business intelligence, business intelligence trends
Kayla Matthews November 15, 2018
Share this Article
Facebook Twitter Pinterest LinkedIn
Share
By Kayla Matthews
Follow:
Kayla Matthews has been writing about smart tech, big data and AI for five years. Her work has appeared on VICE, VentureBeat, The Week and Houzz. To read more posts from Kayla, please support her tech blog, Productivity Bytes.

Follow us on Facebook

Latest News

ai in automotive industry
AI Is Changing the Automotive Industry Forever
Artificial Intelligence
SMEs Use AI-Driven Financial Software for Greater Efficiency
Artificial Intelligence
data security in big data age
6 Reasons to Boost Data Security Plan in the Age of Big Data
Big Data
data science anayst
Growing Demand for Data Science & Data Analyst Roles
Data Science

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

data security in big data age
Big Data

6 Reasons to Boost Data Security Plan in the Age of Big Data

7 Min Read
ai for small business tax planning
Artificial Intelligence

Maximize Tax Deductions as a Business Owner with AI

9 Min Read
How Big Data Is Transforming the Maritime Industry
Big Data

How Big Data Is Transforming the Maritime Industry

8 Min Read
utlizing big data for business model
Big Data

Utilizing Data to Discover Shortcomings Within Your Business Model

6 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?