ThoughtSpot Launches Atlas Marketplace: Lego Approach to Assembling Analytics Solutions
ThoughtSpot demonstrates a new approach for enabling customers to build analytics solutions: facilitate integration with other vendors rather than trying to build/sell its own components (database, data acquisition, etc.).
Such an approach enables the company to focus on what they do best – its core product, search and AI-driven analytics. Hopefully, this is yet more confirmation that gone are the days when a business intelligence (BI) platform would come with its own tightly coupled (i.e. not usable for any other purpose) data preparation and database tools. Now, a customer can invest in a single database platform (e.g. Snowflake) and use it with ThoughtSpot or any other BI or analytical tool.
From the other side, ThoughtSpot is getting exposure to all the customers of its vendor partners. This should commercially compensate ThoughtSpot for not cross-selling its own additional software products – and its customers should expect a stronger core product growth as a result.
Source: ThoughtSpot at SoftwareReviews
Hopefully, this trend is upheld by other BI and analytics platform vendors. When vendors take the integration task upon themselves, customers get quality solutions at much lower cost – or, having saved the money that would have been spent on complex integration hassles, they can afford to invest in a more expensive core product.
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Data Analytics at SoftwareReviews
IBM Raises Price on Software Support; Shoves Customers Toward the Cloud
IBM is changing the terms of its ubiquitous Passport Advantage agreement to remove entitled discounts on over 5,000 on-premises software products, resulting in an immediate price increase for IBM Software & Support (S&S) across its vast customer landscape.
Lewis Carrol on DataOps: No Data Today, All Data Tomorrow?
The beauty of good story telling is its applicability to the most unexpected situations. In 1871, Lewis Carroll wrote about the evil Queen trying to convince Alice to work for her, with a promise of “jam to-morrow and jam yesterday – but never jam to-day.” Little did he know that this one statement would be used by economists, politicians, playwrights, and musicians long after he wrote it – it's time to add data analysts to the list.
PHEMI: A Data Privacy Tool for Healthcare Providers
PHEMI is a data privacy solution focused on keeping data-processing activities secure by redacting information based on the role of the accessor. Thus, allowing such data to be used for multiple use cases without compromising privacy.
Board International Solution Marketplace Gets SOC Compliance: Prêt-à-Porter Solutions and Assured Security in the Cloud
Board International follows the trend of delivering solutions by opening a solution marketplace while strengthening customer trust by getting SOC-2 and SOC-3 certifications.
Databricks and Immuta Partner to Provide End-to-End Data Governance for Machine Learning
Databricks, a data processing and analytics platform with a strong focus on AI and ML, has partnered with Immuta to deliver automated end-to-end data governance for AI, data science, and ML projects.
AnswerRocket, “The AI-Driven Analyst for Everyone”
There’s a proliferation of AI-driven/AI-powered/AI-[insert-your-own-favorite-verb-here] tools and products on the market, because AI – and its underlying technology, machine learning – is sexy and it sells. (And, in some cases, delivers.) We decided to take a look at one of the vendors, AnswerRocket.
AWS Lake Formation Takes Pain Out of Data Lakes
AWS Lake Formation makes it easier for users to set up and manage data lakes. But organizations will face challenges in determining how to derive value from their data lakes.
AI-Infused Data Cataloging Tools Are on the Rise – Dell Boomi Acquires Unifi
Data cataloging has significant value but remains a challenge for many organizations. Unifi’s AI-based data cataloging tool enables discovery and cataloging of data sets and metadata. Dell Boomi’s data integration tool recently acquired Unifi to manage customers’ unknown data better.
Cloudera Takes Steps Towards Open Standards for DataOps
DataOps is a complex topic. Industry leaders such as LinkedIn, Airbnb, and Uber have created their own operations platforms. Without open standards currently in place, Cloudera promises to incorporate an open standard in its upcoming product feature.