David Menninger's Analyst Perspectives
FEBRUARY 20, 2019
I am happy to share some insight on BOARD drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.
IBM Big Data Hub
FEBRUARY 22, 2019
Machine learning (ML) offers huge potential to help compliance and legal teams accomplish many of their most important rule tracking, employee monitoring and documentation activities.
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Business Over Broadway
FEBRUARY 19, 2019
Data science projects require data professionals to devote their energy toward different activities toward project completion. Results of a recent study of over 23,000 data professionals found that data scientists spend about 40% of gathering and cleaning data, 20% of their time building and selecting models and 11% of their time finding insights and communicating them to stakesholders.
Domino Data Lab
FEBRUARY 20, 2019
Eugene Mandel , Head of Product at Superconductive Health , recently dropped by Domino HQ to candidly discuss cross-team collaboration within data science. Mandel’s previous leadership roles within data engineering, product, and data science teams at multiple companies provides him with a unique perspective when identifying and addressing potential tension points.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
BizAcuity
FEBRUARY 22, 2019
Financial Analytics – An Outlook. In today’s world of competitive businesses, analytics is an essential part of staying competitive especially in this digital era where data is omnipresent. Financial analytics is helping businesses in understanding current and past performance; predict future performance thereby arriving at making smarter decisions.
IBM Big Data Hub
FEBRUARY 21, 2019
At IBM's recent Think 2019, enterprises embarking upon their AI journey were squarely focused on sessions and labs focused on how to get data ready for successful AI deployments. We sent our newest, freshest team member Thomas LaMonte loose at Think during his second week at IBM to get his first impressions.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Jet Global
FEBRUARY 21, 2019
Choosing to buy a business intelligence (BI) and analytics solution for your Microsoft Dynamics system is a big step. There are many vendors to select from, with all the functionality and benefits you could imagine. Before you get into the features, it’s always important to do a full evaluation of your organization. The first step in software selection is to understand what capabilities you need in a solution to help you achieve your analytics goals.
MLWhiz
FEBRUARY 18, 2019
Kaggle is an excellent place for learning. And I learned a lot of things from the recently concluded competition on Quora Insincere questions classification in which I got a rank of 182/4037. In this post, I will try to provide a summary of the things I tried. I will also try to summarize the ideas which I missed but were a part of other winning solutions.
Data Virtualization
FEBRUARY 20, 2019
To know and knowing to know, that is, one more word for a profoundly different meaning, which introduces that awareness of knowledge, which is a key element for its sharing and, furthermore, the foundation to derive from it that value. The post Towards an Introspective Data Virtualization System appeared first on Data Virtualization and Modern Data Management.
DataRobot
FEBRUARY 18, 2019
In order t o further help you accelerate AI success with the team and tools you have in place, we are pleased to share our new DataRobot What-If extension for Tableau. The DataRobot What-If extension empowers you to analyze the cause-and-effect of different variables on a predicted outcome within a familiar Tableau experience. With the DataRobot What-If extension, you can make better informed, more actionable decisions to optimize outcomes.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
erwin
FEBRUARY 21, 2019
Much like the hospitality industry , digital transformation in retail has been a huge driver of change. One important fact is getting lost among all of the talk of “the retail apocalypse” and myriad stories about increasingly empty shopping malls: there’s a lot of money to be made in retail. In fact, the retail market was expected to grow by more than 3 percent in 2018 , unemployment is low, and wages are at least stable.
IBM Big Data Hub
FEBRUARY 21, 2019
At the Think 2019 conference, IBM hosted a plethora of data-management-focused sessions with several announcements that will undoubtedly impact the data management strategy of many businesses.
Dataiku
FEBRUARY 19, 2019
POCs often feel like a gamble. You're testing the boundaries of your business's technological capacity and your ability to change at the same time. If your POC is an anomaly or you're unprepared to activate it, you risk missing out on technology that could keep your business on top. The choice for a data specific POC is critical, because organizational resistance to change is one of the biggest barriers to data integration.
DataRobot
FEBRUARY 21, 2019
This blog is meant to be a fun and unique take on predicting Best Picture for the 91st Academy Awards.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Teradata
FEBRUARY 19, 2019
Rob Armstrong explains that while data is important, the real key is preserving the relationships across the data models that leads to insight and successful business outcomes.
TIBCO
FEBRUARY 22, 2019
With great data comes great responsibility. With that responsibility, comes the need for accurate and clear communication about that great data. As it stands, data can be a very powerful tool that can either enact positive change or invoke disastrous results if interpreted incorrectly. It’s similar to over the counter medicine, which if taken correctly can do a lot of good, but if mislabeled or confusingly displayed can lead to mistreatment and unsuccessful results.
ScienceSoft
FEBRUARY 21, 2019
Dissatisfied with your demand forecasts? Instead of giving up on them completely, try reconsidering the methods you use. Here, we describe the approaches that will definitely work: traditional and contemporary data science.
bridgei2i
FEBRUARY 21, 2019
Examples of AI Solutions Usage. Traditional algorithmic solutions around structured data have gained and continue to gain traction. Matt Hellman a Transformation Leader at Microsoft writes in a September 2018 article titled, “How AI is transforming sales and marketing” in The Marketing Journal. A strong case study where a global MNC used AI enabled deal classification, data input enhancement, account analytics, and external data feeds to transform their sales organization in Nigeria resulting in
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
Smarten
FEBRUARY 19, 2019
What is Smart Data Visualization? Smart data visualization is a crucial part of advanced analytics. Smart visualization allows business users to view and analyze data to identify a problem, clarify a root cause, identify a business opportunity, and to make confident decisions. Business users can interact easily with visual analytics tools to build a view that will tell a compelling story using guided visualization tools so there is no need for assistance from data scientists or delay in finding,
Jen Stirrup
FEBRUARY 18, 2019
I am writing some SQL to form the basis of views to pull data from a Microsoft SQL Server source into Azure SQL Database, and then the data would go to Power BI. The data was all presented in string format initially (not my data, not my monkeys, not my circus), and I wanted to correct the data types before the data got into Power BI. I noted that one of the columns failed to convert VARCHAR to DECIMAL.
3AG Systems
FEBRUARY 17, 2019
Customer analysis may be the most important market segmentation analysis you can perform for your business. Without it, trying to find new customers, or selling more services to existing customers, will likely have limited success. Unless you really get to know your customers, your business won’t be a in position to meet their needs. The traditional approach to customer analysis is often driven by marketing because this team needs to understand the customer to target them directly.
Teradata
FEBRUARY 17, 2019
Larry H. Miller is using data and analytics to successfully increase customer satisfaction from a multitude of data sources and customer touchpoints.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Nutanix
FEBRUARY 21, 2019
Time for a check-in: How well are you doing on your New Year’s resolutions? If you answered with a sharp inhale and a shake of the head, you’re not alone. In fact, about 80% of folks aren’t able to stick to their resolutions.
Jen Stirrup
FEBRUARY 16, 2019
I’m keen to learn practical aspects of Azure and cloud computing, so I can really understand their value for small businesses who rely on cloud computing. I don’t feel comfortable advocating for something I don’t really understand, or haven’t tried myself. So I set up my Data Relish website using Azure and WordPress , and integrated it with HubSpot so I could use Power BI and HubSpot together.
bridgei2i
FEBRUARY 21, 2019
Monideepa Bhattacharya, Digital Transformation Lead, BRIDGEi2i Analytics Solution, delivered the keynote presentation at Infocom-2018, Kolkata. Centered around the premise of the Intersection of AI and Analytics, here’s an excerpt of the keynote: The journey of AI has an intriguing history to it right from the inception of the word Artificial Intelligence to its deployment in various forms – from mobile phones to the internet revolution, from the big data boom to the innovative analytics industr
Teradata
FEBRUARY 17, 2019
Larry H. Miller is using data and analytics to successfully increase customer satisfaction from a multitude of data sources and customer touchpoints.
Speaker: David Bard, Principal at VP Product Coaching
In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.
Nutanix
FEBRUARY 19, 2019
In case you missed it (wink), we launched our global You Decide campaign last month. Over the course of 3 blogs, I’ll dive in deeper to what it means to say goodbye to painful upgrades, true up surprises, vendor lock in and fire drills.
BI-Survey
FEBRUARY 22, 2019
T he proverbial computing troika – the technological trio of cloud, mobile and social computing – is not showing any signs of slowing down. The adoption of innovative technologies that create new business models and provide substantial cost savings is going to continue whether IT departments like it or not. To face the numerous new challenges and security risks that digital transformation is bringing, companies can no longer rely on traditional perimeter security tools, since there is simply no
Juice Analytics
FEBRUARY 17, 2019
If most customer data initiatives are risky, have low adoption , and often don’t meet their goals, what steps can we take to improve success rates? What we’ve learned at Juice over 10 years and hundreds of implementations is that customer-facing data initiatives succeed when you deliver a product, not a project. You need a product mindset to reduce risks, make customers happy, and deliver revenue.
CONTACT Software
FEBRUARY 19, 2019
According to Karl Valentin: Platforms are beautiful and take a lot of work off your neck. The idea of platforms for automatic data analysis comes at just the right time. In line with this, Gartner has now published a “ Magic Quadrant for Data Science and Machine Learning Platforms “ The document itself can only be viewed behind a paywall, but on the net some of the companies mentioned in the report offer access to the document by entering the address.
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