August 17, 2021 -- InvestorsHub NewsWire -- NetworkNewsWire
Editorial Coverage: The concept of “big data” has been around
for decades but only took on its current form in the 21st century
with computers running 24/7/365 processing mounds of user data to
better understand and predict trends. However, consumers have grown
tired of their harvested data exploitation, and winds of change are
blowing in new modalities that cater to security and privacy.
Nothing is more representative of the ongoing shift than Apple’s
recent operating system changes that feature one of the world’s few
welcomed pop-ups: one that asks if it’s okay to track your
activity. Welcome to the age of “small and wide” data. Companies
are already looking to next-generation technology to meet this new
demand, including that of Streamlytics (Profile), which doesn’t use cookies or
tracking in its human-led data. The mix of consumer and regulatory
blowback has all the majors, including Palantir Technologies Inc. Class A (NYSE:
PLTR), Snowflake Inc. Class A (NYSE:
SNOW), Oracle Corporation (NYSE:
ORCL), Salesforce.com Inc (NYSE:
CRM) and Microsoft Corporation (NASDAQ:
MSFT) dedicated to advanced functionality to meet
or surpass obligations for privacy, governance and compliance
associated with collecting and using personal information.
- Gartner predicts 70% of organizations will switch to small and
wide data by 2025.
- Streamlytics is leading a new category of data company called
“community-driven data.”
- Streamlytics is the largest first-party data provider of
African-American data, offering more than 400 million data points
from the world’s largest platforms.
Click here to view the custom infographic of
the Streamlytics editorial.
Apple Upset the Apple Cart, Streamlytics Rights
It
There are now more than 1 billion
iPhones in use worldwide and 1.65 billion Apple devices in
total. Until recently, Apple software allowed for recording a
user’s activity across websites and apps, unless the user knew how
to disable the process in settings. The resulting data was
extremely valuable to brands and advertisers for targeted
marketing. Currently no federal data privacy laws exist, so
companies and states are finally taking it
upon themselves to protect users after decades of abuse.
With Apple’s iOS 14.5 released in April, users can stiff-arm third
parties with a simple tap to disallow tracking.
The days of third-party cookies, which are little packets of
data that allow websites and apps to remember information about
user’s visits, are becoming relics among us, owing to privacy
concerns and regulatory changes. Instead, brands now must learn to
employ a first-party data strategy. First-party data is exactly
like it sounds: information collected directly from customers by
brands for analyzation to personalize experiences and drive new
customers and sales.
Streamlytics, a privately held company, is a new type
of data broker/partner that focuses on working with consumers with
an emphasis on small and wide data, initially in the
African-American demographic, comprise of almost 47
million people in the United States and one of the largest
diasporas in the country. The company’s value is undergirded by
patent pending technology that unifies disparate data, an
innovation in first-party data.
Streamlytics extracts added insights from smaller data sets
using advanced processes to enhance training data that can be used
with artificial intelligence (AI) to help it work more efficiently.
The company’s wide-data analytics involve analyzing different
degrees of data sources, both structured and unstructured. The
largest first-party data provider of African-American data,
Streamlytics has gathered more than 400 million data points from the world’s
largest platforms, including Amazon, Netflix, Google, Uber and
AppleTV+. The month-over-month growth for data points is an
impressive 123% from June 2020–June 2021, or 2,900% during the 12
months.
Analysts at Gartner see small and wide data as the future
because of its superior 360-degree view of market trends. Gartner
predicts that 70% of
organizations will switch to small and wide data by 2025,
in part because of “hyper-personalization and customer experience
improvement.” Streamlytics is focused on leveraging changing
markets and economics, positioning itself with a strong solution to
capture market share.
Clture Drives Value
Streamlytics is leading a new category of data company called
“community-driven data.” Benefits of this approach abound,
including fostering inclusion at the societal level and
representation from a branding purview. The company prides itself
on data density rather than data measurement, meaning that the
quality of the data outweighs quantity.
Streamlytics’ flagship product is a consumer-face data
acquisition app branded Clture. Clture aligns perfectly with
consumer demand to control private data rather than be relentlessly
tracked and exploited for free. Instead, Clture allows
African-American consumers to own their private information through
a data license. With Clture, consumers are giving a choice and a
voice like never before. The consumer can put a quantitative price
to their data via Streamlytics proprietary data value algorithm if
they choose to sell their data.
Through this model of paying consumers for their data,
Streamlytics collects a comprehensive set of consumer, demographic,
and consented data. Competitors’ marketplace solutions are far less
robust, giving Streamlytics a competitive edge.
. . . And Revenue
Streamlytics is entrenched in precisely culling and organizing
data to help its customers see blind spots left by today’s
technology. These voids span not only marketing and customer
acquisition but also competitive intelligence, corporate strategy,
branding and more to optimize various areas of operations. The
model is circular insomuch that data consent and data feed API
integration both drive cash flow. The platform has already
attracted Tier 1 clients from CPG, Wireless, Automotive and Apparel
industries; a true testament to the scalability of the application
of the datastream product.
The Miami-based company offers a standard data feed to brands
for $250,000 per year, that is used for more precise execution in
programmatic advertising, saving customers money and increasing
revenue. The standard feed contains over 30 million data points
that customers leverage as seed data. Data equity is critical in
machine learning to accurately reflect changing demographics.
Streamlytics also offers custom datastreams starting at $1.5
million annually where clients can utilize 400+ million datapoints
to not only boost revenue, but to refine marketing, innovate in
product, and increase artificial intelligence accuracy.
Expansion Time
Streamlytics is ahead of the curve in the changing landscape of
data. Its data partners are actual humans that consent to data
collection at which point Streamlytics runs it through an extensive
data processing system that cleans and enhances it. The data comes
from upper echelon providers. For instance, video streaming
viewership comes from places such as Amazon and YouTube; location
data from Google Maps; audio streaming from Spotify and Audible;
cross device engagement data comes from smart speakers and TVs;
gender and age data are provided at registration; and purchasing
data is collected from Amazon.
The platform is designed for scalability as evidenced by the
accelerated data point expansion. As Streamlytics continues to
build out its Clture product for the African-American community, it
is planning its growth strategy. The next market on tap is the
LatinX community, which account for about 18.5% of the U.S.
population, or about 60.6 million people (https://nnw.fm/JZUo2).
Security a Top Priority for All
Changes to consumer privacy among large technology companies are
happening on a global scale. It’s not an option; it’s the next
evolution in technology happening right now. As demonstrated below,
protecting consumers comes in a lot of varieties as companies do
their best across multiple verticals in a constantly changing
digital climate.
Palantir Technologies Inc. Class A (NYSE:
PLTR) is a global stalwart in building and
deploying operating systems for the modern enterprise that call
companies and governments around the world as clients in helping
grow revenue 49% during Q1 to $341 million. Palantir is even working with the U.S. government
on COVID-19 vaccine distribution to provide its software platform
that enables organizations to improve their data-driven
decision-making process by integrating disparate data sources into
a single common operating picture.
Snowflake Inc. Class A (NYSE: SNOW),
the data cloud company, in July launched support for its Unified ID
2.0 to help organizations easily enrich audience data, without
sharing consumers’ personally identifiable information (“PII”).
With Unified ID 2.0 support, Snowflake customers will be able to optimize
their data-first advertising strategies by directly activating
audiences on any platform that has adopted Unified ID 2.0, using
Snowflake’s secure data sharing technology.
Oracle Corporation (NYSE:
ORCL) offers unique safety initiatives of its
own. In addition to launching a blockchain platform cloud service
in 2018, the company is also a steward for preventing wasted
advertising budgets that support sites that spread misinformation.
This month, Oracle partnered with the Global Disinformation
Index, an independent nonprofit that provides trusted, nonpartisan
ratings to assess a site’s disinformation risk, to help marketers
safeguard ad spend and protect brands from inadvertently supporting
disinformation sites.
Salesforce.com Inc. (NYSE:
CRM) is a global marshal committed to ensuring
data protection for all. The
company proved this yet again earlier this year by
adopting the newly approved Cloud Code of Conduct of the European
Union. By certifying to the first-of-its-kind code, cloud service
providers demonstrate their dedication to compliance with the
E.U.’s General Data Protection Regulation that was implemented in
2018.
Microsoft Corporation (NASDAQ: MSFT),
being the computing and software juggernaut it is, entered the
community-driven data market with its Trove Microsoft
Garage project. In addition, the project connects AI developers
to unbiased, quality niche data, and empowers engineers to purchase
submissions that meet their standards at costs they control, while
respecting the rights and privacy of photo submitters. Since its
launch, the project has helped collect more than 25,000 photos for
character recognition, object recognition and visual search. Most
recently, the company released an updated interface that features
fewer fees for developers, additional transparency and control for
those providing photos, and a sleeker, simpler UI for all.
In this ever-digital world, people are more and more skeptical
about personal data security than ever before. Furthermore, they
know the value of this data and understand that it is sold around
the world for billions of dollars every year. Increasingly,
consumers want control of this data and the combination of these
forces is triggering the next wave of innovation in high tech to
meet the diverse demands.
For more information about Streamlytics, please
visit Streamlytics.
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