Top five business analytics intelligence trends for 2019

From explainable AI to natural language humanising data analytics, James Eiloart from Tableau gives his take on the top trends in business analytics intelligence as we head into 2019. Top five business analytics intelligence trends for 2019 image

Business analytics intelligence prediction number one: After the hype, the rise of explainable AI

AI promises to enhance human understanding by automating decision-making. But, as organisations rely on AI and machine learning for data-driven decision-making, we’re seeing a rise in human hesitation about the trustworthiness of model-driven recommendations. Many machine learning applications don’t offer a transparent way to see the algorithms or logic behind decisions and recommendations. This need for transparency will drive growth of explainable AI in 2019. If you can question humans, why not have the same option with machine learning when making decisions?

Business leaders will put greater pressure on data science teams to use models that are more explainable and reveal how models are constructed. AI has to be trusted to make the strongest impact, and the generated conclusions must be intelligible, simple and dynamically answer questions to help humans understand their data.

Explainable AI : The margins of accountability

How much can anyone trust a recommendation from an AI? Yaroslav Kuflinski, from Iflexion gives an explanation of explainable AI

Business analytics intelligence prediction number two: Natural language humanises data analytics

Natural language processing (NLP) helps computers understand the meaning of human language. BI vendors will incorporate natural language into their platforms, offering a natural language interface to visualisations. At the same time, natural language is evolving to support analytical conversation—defined as a human having a conversation with the system about their data. The system leverages context within the conversation to understand the user’s intent behind a query and further the dialogue, creating a more natural, conversational experience. That means when a person has a follow-up question of their data, they don’t have to rephrase the question to dig deeper or clarify an ambiguity. Natural language will be a paradigm shift in how people ask questions of their data. When people can interact with a visualisation as they would a person, it allows more people of all skill sets to ask deeper questions of their data. As natural language evolves within the BI industry, it will break down barriers to analytics adoption and help transform workplaces into data-driven, self-service operations.

Business analytics intelligence prediction number three: Actionable analytics put data into context

Data workers need to access their data and take action—all in the same workflow. In 2019, expect more organisations to use data analytics exactly where it’s needed and not in isolation. Organisations will truly reap the benefits of how BI platform vendors are offering capabilities like mobile analytics, embedded analytics, dashboard extensions, and APIs. Embedded analytics puts data and insights where people are already working so they don’t have to navigate to another application or shared server, while dashboard extensions bring access to other systems right into the dashboard. And mobile analytics put data directly into the hands of people in the field. These advancements are equally powerful as they meet the needs of different business teams and verticals by empowering new audiences with on-demand data in context.

Organisations across the globe lack data analytics maturity, says study

Harvard Business Review Analytic Services report reveals that only five per cent believe that their organisations are very effective at implementing modern data sharing, while 67% want to move towards that approach, showing that data sharing is very much on the agenda of organisations in the year ahead

Business analytics intelligence prediction number four: Enterprises get smarter about analytics

Business intelligence initiatives often have a well-defined start and end date and it’s not uncommon for them to be considered “complete” after they are rolled out to users. But merely providing access to business intelligence solutions isn’t the same as adoption. Chief data officers, primarily, are re-evaluating how BI adoption plays a part in a strategic shift towards modernisation, because true value isn’t measured by the solution you deploy, but how your workforce uses the solution to impact the business.  The assumption that everyone is getting value out of a BI platform just because they have access to it can actually be an inhibitor to real progress with analytics.

As these internal communities on-board workers onto a BI platform, organisations can start to delegate analytical responsibilities and create new user champions. This will ultimately reduce the heavy lifting for maintenance and reporting, traditionally reserved for IT.  More internal champions will start to emerge, acting as subject matter experts who socialise best practices and align people on data definitions. Inevitably, all of these movements will lead to more people using and getting value out of BI software. And most importantly, your workforce will become more efficient and your organisation more competitive.

Business analytics intelligence prediction number five: Accelerated cloud data migration fuels modern BI adoption

 When modernising your data strategy, you must think about where data is stored. For many companies, this means considering moving data to the cloud because of added flexibility and scalability at a lower total cost of ownership. The cloud also makes it easier to capture and integrate different data types. Moving to the cloud increases agility and it recasts the possibilities around what you could do with BI and analytics. The concept of modernisation naturally follows. The concept of data gravity suggests that services and applications are pulled in the direction of where the data resides. So as data moves to the cloud at an accelerated rate, analytics will naturally follow. This is causing leaders to shift from traditional to modern BI, assessing whether or not their chosen BI platform will support a move to full-cloud analytics. Not every company is ready for this move, but many are experimenting with hybrid solutions to take advantage of diverse data sources and the benefits of the cloud.

James Eiloart is SVP of EMEA at Tableau

Latest news

divider
Cybersecurity
Quantum Cryptography: The next-generation of secure data transmission

Quantum Cryptography: The next-generation of secure data transmission

16 December 2018 / Data proliferation continues to take place at an ever-accelerating rate, driven by greater mobility and [...]

divider
Telecoms
Predictions for the telecoms industry in 2019

Predictions for the telecoms industry in 2019

15 December 2018 / In our recently published 2018 review article, we revealed that there was plenty of momentum [...]

divider
Blockchain
Switzerland opens the regulation door for blockchain

Switzerland opens the regulation door for blockchain

14 December 2018 / In recent years Switzerland has become one of the world’s leading locations for blockchain companies [...]

divider
Governance, Risk and Compliance
Data protection compliance should be at the heart of every business

Data protection compliance should be at the heart of every business

14 December 2018 / You might be forgiven for believing that the twin purposes of the EU’s General Data [...]

divider
Technology
Taking stock of the turbulent tech markets

Taking stock of the turbulent tech markets

14 December 2018 / There is one simple measurement for how ubiquitous technology has become in recent years. Today, [...]

divider
Blockchain
Blockchain and Facebook could be near, but what are the benefits?

Blockchain and Facebook could be near, but what are the benefits?

13 December 2018 / Mark Zuckerberg never did actually say Facebook was adopting blockchain. But he did say that [...]

divider
Telecoms
Top 3 telecom trends for 2019

Top 3 telecom trends for 2019

13 December 2018 / Consumer-driven data consumption, fuelled by the mobile and broadband services in IoT devices, which have [...]

divider
AI & Machine Learning
AI and investing: The artificial intelligence analytical revolution

AI and investing: The artificial intelligence analytical revolution

13 December 2018 / Over the past 20 years, investment management has undergone an aggregation revolution, where advances in [...]

divider
Data Protection & Privacy
We risk a digital crisis in 2019 akin to the 2008 banking crisis, warns data privacy lawyer

We risk a digital crisis in 2019 akin to the 2008 banking crisis, warns data privacy lawyer

13 December 2018 / A divergence is opening up in data privacy: on the one hand, you have the [...]

Do NOT follow this link or you will be banned from the site!
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
modal close image
modal header

Top five trends for harnessing data in 2019

Day 1 of our tech advent calendar – From data storytelling to using data for good, James Eiloart from Tableau gives his take on the top trends in harnessing data as we head into 2019.

default

modal header

Top five business analytics intelligence trends for 2019

From explainable AI to natural language humanising data analytics, James Eiloart from Tableau gives his take on the top trends in business analytics intelligence as we head into 2019

 

Download

default

modal header

Recruitment trends in tech for 2019: Machine learning, AI and predictive analytics

 

Major changes are occurring in the ways human resources and other related professionals find the right people for open positions. Kayla Matthews looks at recruitment trends in tech.

 

 

default

modal header

2018 tech predictions: what we got right (and wrong)

Ben Rafferty, Global Solutions Director at Semafone looks at what technology predictions we got right this year, and what ones we got wrong.

 

modal header

Will 2019 see the automation of automation and push up salaries of data scientists? 

2019 will see the start of two dramatic changes applying to data scientists: and in an interview, Jeremy Achin, CEO of DataRobot told Information Age more.

default

modal header

The top 5 data centre trends for 2019: Edge will drive change

Vertiv experts anticipate self-sufficient, self-healing edge in service of IoT and the emergence of 5G, as some of then top trends for data centres in 2019.

modal header

The top 10 infrastructure and operations trends for 2019, according to Gartner

Serverless computing, AI, network agility, edge computing, the death of the data centre, new roles, SaaS denial, talent management and global infrastructure drive the Gartner top 10 infrastructure and operations trends for 2019.

modal header

Seven existential threats to your organisation’s cyber defences in 2019

Hackers are getting smarter, meaning that businesses need to get smarter with cyber defences. Jumio\\\’s Labhesh Patel outlines seven threats

 

Download

modal header

The continuing rise of mobile edge computing, 5G and IoT security, hot topics for 2019

IoT a new cyber battleground, the rise of mobile edge computing and the arrival of 5G, Nick Offin from Toshiba gazes into his crystal ball with predictions for 2019

default

modal header

Tech predictions from The Economist in 2019: Facial recognition to AI regulation

In this exclusive for Information Age, a team of editors from The Economist\’s World In 2019 provide tech predictions for 2019. Read here

 

default

modal header
modal header

Online security predictions for 2019: From cryptojacking to MiTB attacks

Pedro Fortuna, CTO and founder of Jscrambler, provides his online security predictions for 2019 — can it get any worse? Read here

modal header

We risk a digital crisis in 2019 akin to the 2008 banking crisis, warns data privacy lawyer

The 2019 digital crisis, data privacy charlatans and the good guys with an ethical approach: data privacy will diverge in 2019 says privacy lawyer.

default

modal header

Taking stock of the turbulent tech markets. What to expect moving forward?

Nick Thurlow, NetApp managing director for UK & Ireland, discusses the state of tech stocks – and the impact of market turbulence on tech businesses. Read here

modal header

Predictions for the telecoms industry in 2019

Colin Sempill, Managing Director at SSE Enterprise Telecoms explores his predictions for the telecoms industry in 2019. Read here

default

modal header

Quantum Cryptography: The next-generation of secure data transmission

Quantum Cryptography will render much of today\\\’s encryption unsafe, Dr. Andrew Shields, Cambridge Research Laboratory of Toshiba Research Europe

Download

Nominations are now open for Women in IT Awards Asia

 

The Women in IT Awards Series  is the technology world’s most prominent and influential diversity program.

 

On 29 May 2019, the awards will come to Asia for the first time ever, taking place in Singapore. Nominations are now open for these prestigious awards.

 

Click here to nominate
yourself, a colleague or peer!
 

You have Successfully Subscribed!

Pin It on Pinterest