The best platforms to gather, consolidate, query and present your hidden resource: data.
As technology integrates into our lives and the increasingly intelligent devices we surround ourselves with, the amounts of data being collected have exploded. The good use or not of this digital resource depends on the needs of the user: profit, well-being, research or technical perfection.
This article hopes to explore some common aspects of what was called “big data” (nowadays, perhaps “data” is more precise) and four providers of data processing technologies. , refereeing and presentation.
What quickly becomes apparent when examining the world today is that there is little distinction between man and machine: both are sources of data, and consumers or users of it. this. As humans, we interact with technology all day long, creating bitstreams that map our positions, behaviors, attitudes, opinions and tastes. The machines around us collect data and are also mitigated by it – in the automated service substation to the smart building.
There are practical and moral differences in the way we treat information depending on how and why it is used. These stumbling blocks (technical or moral) appear both at the point of collection and at the point of use.
When sensors in IoT devices produce information, for example, it can often be presented through specialized network protocols that may not be compatible with Internet protocols. It is a technical difficulty. When IoT devices are used as surveillance systems with facial recognition, the issues are motivational and moral. The same is true when the source of the data is human – here we encounter moral and technical difficulties regarding anonymization, confidentiality and personal security, and if our tacit acceptance of a technology service confirms that we are happy to be extracted for information.
However, machines and humans are both consumers and producers of data, with machines weakened by data entry and humans influenced, medically treated, entertained and influenced.
On this site we are concerned with the details of how the technology is implemented and the results of its use, rather than moral issues, and in this situation we only hope to be objective about the possibilities, not how. whose platforms presented could be used.
Technically speaking, between capturing data and its end uses, there is a myriad of complexities around formatting, data cleansing, deduplication, sifting, parsing, anonymization, and enrichment. The following organizations are playing in this space. These are the data arbitrators who take the resources stored on silicon that underpin all aspects of life in 2021 and use them to create (or enable others to create) something bigger than data.
Whatever your data sources are and however you want to leverage this raw material, one of the following should be worth your attention.
This Australian startup specializes in health data – its collection, integration, analysis and processing, to uncover trends and hidden patterns in longitudinal (long-term) clinical information about patients and diseases from claims insurance, health surveys, administrative and patient data / disease registries, as well as ‘traditional’ data sources such as distribution and sales data, investment figures and other information peripheral health-related business.
It ingests, combines and analyzes the resulting large datasets to track (and therefore predict) outcomes, help clinicians and pharmaceutical companies follow the patient journey and identify critical moments for treatment, or education, or both.
It has dedicated statistical analysis built in under the hood, and rather than being a general-purpose data modeler and ‘digester’, all of its algorithms are designed for the medical industry, from large pharma to the individual clinician, through advanced medical technologies. research groups.
This already makes clinical differences for many treatments and diseases around the world, some of which you can read more about in our exclusive interview with the CTO and co-founder of the company and a specialist clinician who uses the platform in its own research activities.
Click on here to go directly to the Prospecting site or keep an eye on a future article on the pages of Tech Wire Asia over the coming weeks, where we’ll take a much more in-depth look at the capabilities of the Prospecting Platform and some of the personalities behind it.
Companies quickly realize that they have important but often untapped resources: data.
In some cases, gigabytes have been accumulated on purpose. But often, due to the nature of modern life, information is gathered through the tools and platforms that we all use on a daily basis in our professional and private lives.
But whatever its source, Alteryx is here to help businesses get the most out of the company’s multiple sources of data.
The company’s platform ingests data from in-house applications and services and from clouds and uses advanced techniques to extract information from documents as well. This raw resource is then intelligently cleaned, from where it can be passed to different systems such as automation applications or even Al / ML algorithms.
Analytical and diagnostic data is in constant use, whether operational in day-to-day business practice or presented in multiple formats in report forms. Alteryx integrates well with data presentation packages, as well as RPA-style applications, enabling the organization to maximize efficiency through automation.
Sitting halfway between fully functional RPA and a data layer abstraction system, this is a unique proposition. You can learn more about Alteryx and set up a demo by clicking on directly.
Part of the Twilio brand, Segment specializes in the way people use and interact with the websites and applications published by a business or organization. These add up quickly, with several thousand public instances of common applications and services in large organizations.
Marketing teams receive data gathered from every interaction a customer has with the organization’s online portfolio – every press, click, link, and choice can be returned and acted upon. Behaviors and models can be used to develop new points of contact with customers and future customers – building an online brand is done from this type of two-way data flow.
In addition to presenting new cross-selling opportunities at every digital touchpoint, the same information can be used in the creative formulation of new online assets.
Production teams learn what would be the most effective approaches to adopt for new applications and services while under the hood, similar data informs the engineering efforts of DevOps professionals.
Segment uses open APIs from online assets and the rest of business systems to extract, aggregate, and add value to data. Data queries are pre-scripted and designed to be specific to specific business functions.
The Sisense Data Platform is an open solution based on Linux-based cloud technologies that enables businesses to analyze complex data sets simply and easily.
Developers can use a range of tools from SQL queries to custom scripts in multiple languages (SDKs are available to query data faster than manual remediation tools together), and there are higher-level query methods as well. that the ability to display the results in different ways.
The platform comes with ML routines ready to be deployed, so configuring Al’s learning phases is remarkably straightforward and organizations achieve their results faster and easier. There’s even a low-code environment where business experts can conceptualize data transformations. graphically.
With APIs and extensive documentation, the Sisense platform makes sense for organizations that need data science to be done quickly and with less expense than might have been expected just a few years ago. . While investing in data professionals is always a good investment, the job market for well-qualified people is currently an employee market, and Sisense is a compelling alternative to more hires in tough times.
To learn more about Sisense, go to developer portal website for a convenient, hyperbole-free overview of the offering.
* Some of the companies featured in this article are business partners of Tech Wire Asia