“Semantic-free” is the future of Business Intelligence by Andrew Taft via @FlexItAnalytics

 Metrics and universal semantic layers enable semantic-free BI.

I found this very interesting and worth reading so you can think about the future.

WEBINAR - How to scale a data literacy program at your organization - 23 September 2021

 

NEWSLETTER HOW TO SCALE A DATA LITERACY PROGRAM AT YOUR ORGANIZATION REGISTER NOW You’re invited! September 23, 2021 2PM ET / 11 AM PT 60 min session REGISTER NOW Join this new webinar panel to learn how to scale a data literacy program at your organization with a discussion on scaling data literacy skills across your organization with a clear strategy, a pragmatic roadmap, and executive buy-in. Data and analytics specialists from Starbucks, bol. com, and Cardinal Health will share practical guidance and examples from effective programs that help with data skill-building, improving decision-making, and fostering a data literate culture – so everyone at your organization can confidently read, write, analyze and communicate with data. Featured Speakers Megan Brown Director, Data Literacy at Starbucks Jennifer Wheeler Director, IT Data and Analytics at Cardinal Health Mariska Veenhof-Bulten Business Intelligence Lead at bol. com

Data-as-a-Service: DaaS Benefits & Trends by Ekaterina Novoseltseva via @Apium_hub

Businesses across the globe highlight DaaS not only as a unique revenue channel but also a path to reshape the business world through competitive intelligence. The increasing importance of data and analytics is driving the importance of data as a service. External DaaS services enable companies to easily access external data. Internal DaaS services make it easier for companies to democratize analytics and empower their business users. So, in this article, she will discuss Daas benefits and the latest trends. 

I found this really interesting and it was a very comprehensive piece and so well worth the time investment to read.

WEBINAR: AI + BI: Fueling Deeper Business Insights and Edge 30 June 2020

Data Science Central Webinar Series Event

AI + BI: Fueling Deeper Business Insights and Edge Join us for this latest DSC Webinar on June 30th, 2020 Today, businesses are being asked to do more with less, while finding new ways to not only stay competitive, but also outpace the competition. Most often, these same businesses also find themselves armed with a plethora of data, that when leveraged with the right technology, can help achieve the mission at hand. In this latest Data Science Central webinar, hear from two organizations that are coupling their data with artificial intelligence (AI) to power their business intelligence (BI) forecasts and dashboards. At the intersection of data and creative, strategy and execution, Tinuiti partners with brands to identify, engage, and acquire, retain, and reactivate customers across their digital journey. Meanwhile, Texas Mutual Insurance Company, the leading workers' compensation provider for its namesake state, works to meet the daily needs of more than 64,000 business owners and their 1.4 million workers. Despite being in very different industries and having two very different goals, these two leading organizations both realize that the combination of AI + BI can help them more effectively and efficiently achieve success. Register for this webinar and learn: How Tinuiti and Texas Mutual are leveraging AI and BI to uncover more powerful insights faster, and what it means for each of their respective businesses Why democratizing data insights beyond the data science team and line of business is key to empowering all decision makers with relevant insights How DataRobot and Tableau contribute to greater business productivity and edge, as well as business recovery during these challenging times Speakers: Roger D. Humecky, Vice President, Advanced Analytics -- Texas Mutual Insurance Annica Nesty, Senior Director, Marketing Science -- Tinuiti Emily Webber, Customer Facing Data Scientist -- DataRobot Blair Hutchinson, Product Manager -- Tableau Hosted by: Stephanie Glen, Editorial Director -- Data Science Central   Title:  AI + BI: Fueling Deeper Business Insights and Edge Date:  Tuesday, June 30th, 2020 Time:  9:00 AM - 10:00 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

6 Data Analytics and Business Intelligence Trends to Fire Up Your Business by @eSparkBiz via @Datafloq

Nowadays, when business intelligence and data analytics are in huge demand, this blog will help you to be aware of its latest trends with ease.

Time and time again we come back to the need for quality data and proper data management. We really need to learn the lessons and actually start sorting it out. Yes it will cost money, yes it will use resources, but it is an INVESTMENT into your company just as buying a new software package or piece of machinery is.

Recent Acquisitions in the Business Intelligence field together with a longer view list

Within the past week, we’ve seen the acquisitions of the two biggest players in the modern BI landscape, Looker and Tableau. And if you broaden your view to the entire analytics tech stack, it’s bigger: here are the major acquisitions over the past year:

• Stitch. Acquired by Talend on 11/7/2018 for $60m.
• Alooma. Acquired by Google on 2/19/19 for an undisclosed amount.
• Periscope. Acquired by Sisense on 5/14/19 for an undisclosed amount.
• Looker. Acquired by Google on 6/6/19 for $2.6b.
• Tableau. Acquired by Salesforce on 6/10/19 for $15.7b.

Wow - who is next?? It's obviously big business.

How natural language processing can transform business intelligence by Alberto Pan via @infomgmt

NLP has the potential to enable true self-service BI by seamlessly translating spoken commands into SQL or any other technical query language. 

I great read which I really enjoyed.

WEBINAR: Optimize The Data Supply Chain - 31st January 2019

Optimize The Data Supply Chain Join us for the latest DSC Webinar on January 31st, 2019 Every organization is aiming to produce more comprehensive understanding of their customers, their business operations and their risks, through data. Most organizations are still learning best practices that allow them to leverage in-house data science resources more effectively. A big piece of the puzzle is enabling better collaboration between data science teams and the lines of business. A team-driven approach is necessary to help. In this latest Data Science Central webinar, led by Mike Ferguson of Intelligent Business Strategies Limited, an independent analyst and consultant who specializes in BI, analytics, data management and big data, you’ll learn: What it means for an organization to be ‘data intelligent’ – and what it takes to get there Optimization of the data supply chain that can help create insight and foresight How a team-driven approach reduces two of the most costly enterprise resources: data and effort Best practices for data science groups to easily find and understand curated and trusted data sets to feed and influence their predictive models A brief overview and demo of Datawatch’s integrated platform that combines best-in-class self-service data preparation, a centralized data marketplace, predictive analytics and data governance Speakers: Mike Ferguson, Managing Director -- Intelligent Business Strategies Michael Rowley, Director Product Marketing -- Datawatch Angoss Ellen Wilson, Product Marketing Manager -- Datawatch Angoss Hosted by: Bill Vorhies, Editorial Director -- Data Science Central   Title:  Optimize The Data Supply Chain Date:  Thursday, January 31st, 2019 Time:  9 AM - 10 AM PST

Register here

SLIDESHOW: 10 top technology trends that will impact organisations in 2019 by Mathias Golombek via @infomgmt

Machine learning, data-centricity, self-service BI and distributed ledger technology will be among the top technology trends driving innovation and digital transformation this year.

A great presentation that will give you a good indication of what is coming and you should be thinking about.

The 23 Most Influential Business Intelligence Blogs via @Better_Buys

This list is from Better Buys.

Some useful ones to add to your reading list.

Bamboozled by the analytics and BI Magic Quadrant? Four things to do by Cindi Howson via @infomgmt

In our summits this year, we sometimes asked how many of you have read the Magic Quadrant (MQ). A mere 20 percent raised their hands in one. I was gob smacked, and could not hide my dismay.

There is a link in the article which points to Cindi's historical blog explaining the 4 mistakes to read when looking at the MQ report.  To get a copy of it you will need to go through an organisation and sign up to something to access it (if you are not a Gartner member) - I would suggest looking on the internet via a search engine or I'll give you two examples here.  Sisense or Qlik

SLIDESHOW: 5 top trends driving analytics and BI strategy by David Weldon via @infomgmt

Gartner analysts share their predictions on the most important strategies influencing data science and business intelligence for the next five years.

Some very good points and I have to say I agree with all of them. I can definitely see all of them happening and that it will be fairly quick and painless.  The non-use of a Data Scientist is already a possibility with tools like Tableau making greater waves in the market.

Strong data security starts with proper documentation

Important considerations are what data is accessible, where it’s all stored, how it’s all connected and who has rights to view it.

I agree - any kind of reporting layer needs security within it , between the data and it or both.

WEBINAR: How data catalogs can drive real results with business intelligence and analytics - 26 April 2018

Web Seminar  How data catalogs can drive real results with business intelligence and analytics

Apr. 26, 2018 | 2 PM ET/11 AM PT
Hosted by Information Management

Across all industries, and in organizations large and small, everyone wants to do more with data. 

More specifically, everyone wants to use data to get closer to customers, to create new efficiencies, 

to drive smart business decisions, and to boost the bottom line. But that’s a tall order when 

organizations continue to create and collect virtual mountains of information. The challenge is to 

know which data has real value. But too often discussions about data and its value between 

information technology professionals and business stakeholders turns overly technical. 

Business users simply don’t understand what data they possess and where to find it. 

This webinar will look at how data catalogs can ease that process and present data 

assets in ways that everyone in the organization can understand and take advantage of.

George Yuhasz Director, US Business Intelligence & Data Services Keystone Foods (Speaker)	Jay Zaidi Managing Partner AlyData (Speaker)	David Weldon Editor-In-Chief Information Management (Moderator)

Sponsored By:

Register here

Why AI Cannot Survive Without Big Data by Philip Piletic via @SmartDataCo

Data scientists are struggling to create structure out of the jumble of big data out there – structure that is essential for AI to function properly.

Yes AI needs lots of data, but it also needs to have some kind of known structure to that data as well as an understanding of the meaning of that data.

WEBINAR: Succeed with BI-on-The-Data-Lake - 20 March 2018

Mar. 20, 2018 | 2 PM ET/11 AM PT
Hosted by Information Management

Learn the best practices used by companies like Toyota, TD, and GSK as they rolled out Central Business Analytics Units to deliver full self-service analytics to all, while governing access to enterprise data. In this session, you’ll learn how:

• Toyota’s Center of Analytics Excellence uses Tableau and Microsoft PowerBI on Cloudera for Finance and IoT use cases.
• GSK delivered secured self-service access on 100% of its data, stored across hundreds of Cloudera nodes.
• Vivint delivered secured insights at unparalleled speed and scale, making smart homes smarter and saving money for customers (and for themselves).
• TDBank reduces data lake costs by 98% with AtScale, Tableau, and Cloudera.

Plus, we share best practices to achieve BI on the data lake nirvana: manage your big data while giving analysts self-serve access to the lake - on premise and/or in the Cloud, using your existing BI tools.

Register here

Sponsor Content From:

SLIDESHOW: 20 top platforms for analytics and business intelligence by David Weldon via @infomgmt

Tableau, Olik and Microsoft are among the leading vendors in the data analytics and BI space according to a new Gartner Magic Quadrant report.

I've used a few of these - it's an important thing to understand the differences between these tools - I know there are often company wide decision about the preferred tool, but sometimes it is worth investing in a different tool if it gives you a much better result for what you need to do.

Fraud detection in retail with graph analysis by Jean Villedieu via @Analyticbridge

Fraud detection is all about connecting the dots. We are going to see how to use graph analysis to identify stolen credit cards and fake identities.

This is great and we can only hope that others are doing something similar to this in order to help us all avoid fraud.

WEBINAR: Moving from BI to Automated Machine Learning - 18 October 2017

Wednesday, October 18, 2017 1:00 pm Eastern / 10:00 am Pacific 35 minutes with Q&A

Machine Learning has become a competitive differentiator in a big data world. Vast amounts of data are already overwhelming existing BI tools and analytics processes. When faced with hundreds of variables, a human's ability to efficiently identify new insights or detect changing patterns manually has also been exceeded. 

To address these challenges, BI and analytics professionals are adopting user-friendly, automated machine learning solutions.

In this webinar hosted by DataRobot, recognised analytics industry expert Jen Underwood will discuss how BI and analytics professionals can get started with automated machine learning. She will cover:

• An introduction to machine learning and popular machine learning use cases

• CRISP-DM Methodology and common algorithms (regression, clustering, classifiers, and more)

• How to get started with Automated Machine Learning 

Guest Speaker: Jen Underwood Founder, Impact Analytix

Register here

GDPR: About to Lose Your BI and Analytics? How to Save Your Investment by Majken Sander via @TimeXtender

Are you facing the risk of losing the investment you’ve made in your BI and Analytics Program? The first examples of companies choosing to shut down parts of their BI and analytics solutions have started to surface.

Interesting. I guess if you were better organised and had a Data Protection Officer (or similar) it could not stop the use of your data.