Apr
30
2021
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Analytics as a service: Why more enterprises should consider outsourcing

With an increasing number of enterprise systems, growing teams, a rising proliferation of the web and multiple digital initiatives, companies of all sizes are creating loads of data every day. This data contains excellent business insights and immense opportunities, but it has become impossible for companies to derive actionable insights from this data consistently due to its sheer volume.

According to Verified Market Research, the analytics-as-a-service (AaaS) market is expected to grow to $101.29 billion by 2026. Organizations that have not started on their analytics journey or are spending scarce data engineer resources to resolve issues with analytics implementations are not identifying actionable data insights. Through AaaS, managed services providers (MSPs) can help organizations get started on their analytics journey immediately without extravagant capital investment.

MSPs can take ownership of the company’s immediate data analytics needs, resolve ongoing challenges and integrate new data sources to manage dashboard visualizations, reporting and predictive modeling — enabling companies to make data-driven decisions every day.

AaaS could come bundled with multiple business-intelligence-related services. Primarily, the service includes (1) services for data warehouses; (2) services for visualizations and reports; and (3) services for predictive analytics, artificial intelligence (AI) and machine learning (ML). When a company partners with an MSP for analytics as a service, organizations are able to tap into business intelligence easily, instantly and at a lower cost of ownership than doing it in-house. This empowers the enterprise to focus on delivering better customer experiences, be unencumbered with decision-making and build data-driven strategies.

Organizations that have not started on their analytics journey or are spending scarce data engineer resources to resolve issues with analytics implementations are not identifying actionable data insights.

In today’s world, where customers value experiences over transactions, AaaS helps businesses dig deeper into their psyche and tap insights to build long-term winning strategies. It also enables enterprises to forecast and predict business trends by looking at their data and allows employees at every level to make informed decisions.

Jul
01
2019
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Video platform Kaltura adds advanced analytics

You may not be familiar with Kaltura‘s name, but chances are you’ve used the company’s video platform at some point or another, given that it offers a variety of video services for enterprises, educational institutions and video-on-demand platforms, including HBO, Phillips, SAP, Stanford and others. Today, the company announced the launch of an advanced analytics platform for its enterprise and educational users.

This new platform, dubbed Kaltura Analytics for Admins, will provide its users with features like user-level reports. This may sound like a minor feature, because you probably don’t care about the exact details of a given user’s interactions with your video, but it will allow businesses to link this kind of behavior to other metrics. With this, you could measure the ROI of a given video by linking video watch time and sales, for example. This kind of granularity wasn’t possible with the company’s existing analytics systems. Companies and schools using the product will also get access to time-period comparisons to help admins identify trends, deeper technology and geolocation reports, as well as real-time analytics for live events.

eCDN QoS dashboard

“Video is a unique data type in that it has deep engagement indicators for measurement, both around video creation — what types of content are being created by whom, as well as around video consumption and engagement with content — what languages were selected for subtitles, what hot-spots were clicked upon in video,” said Michal Tsur, president and general manager of Enterprise and Learning at Kaltura. “Analytics is a very strategic area for our customers. Both for tech companies who are building on our VPaaS, as well as for large organizations and universities that use our video products for learning, communication, collaboration, knowledge management, marketing and sales.”

Tsur also tells me the company is looking at how to best use machine learning to give its customers even deeper insights into how people watch videos — and potentially even offer predictive analytics in the long run.

Mar
08
2017
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Endor emerges from MIT research with unique predictive analytics tech

Hands around finance data inside of crystal ball Endor, a stealth Israeli predictive analytics company, has its roots in some interesting research on human behavior conducted at MIT’s legendary Media Lab. The company has developed a predictive analytics cloud service based on a concept called ‘Social Physics‘, which purports to simplify big data analysis. The thinking is that people tend to behave in predictable ways,… Read More

Aug
31
2016
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Glint raises $27 million to stop solid employees from bailing

Screen Shot 2016-08-31 at 2.44.04 PM Redwood City-based Glint has raised $27 million in a Series C round of venture funding for software that helps companies figure out how their teams are experiencing problems, or why and when solid employees may leave, undesirably. Glint replaces the traditional 360-review tools used by corporate HR teams and executives with short, anonymous surveys sent out once in a while to specific groups… Read More

Sep
08
2015
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Is Enterprise Hyper Growth The New Normal?

beanstalk The enterprise cloud has entered a new era of hyper growth thanks to a combination of dramatically expanded global markets, access to unprecedented later-stage private growth capital and the ability to scale sales organizations with remote talent. Read More

Jul
27
2015
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The Next Wave Of Enterprise Software Powered By Machine Learning

machine learning Enterprise software is about to undergo radical transformation — a substantial change that will make the shift to software as a service (SaaS) look like a simple facelift. This transformation is being powered by machine learning. Read More

Mar
18
2015
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Predictive Analytics Firm InsideSales.com Gets $60M With Salesforce, Microsoft Strategic Backers

data While people believe that the tech world is in a bubble that is bound to pop soon, the investment climate for enterprise startups with good traction remains hot. In the latest development, InsideSales.com, a provider of predictive analytics services for salespeople to help them source and close deals, has raised another $60 million of funding. This latest round, which brings the total… Read More

May
19
2014
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Born Out Of A Cisco Consulting Gig, Predictive Sales Tool 6Sense Raises $12M

6sense Of the many ways that big data analytics is impacting how enterprises do business, one of the most interesting has been in the area of predictive intelligence — the idea that by looking at all of the data being created in and around your organisation, you can help figure out what to do in the future. In the latest development in this space, 6Sense – a startup that was created… Read More

Mar
04
2014
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Reflektion Raises $8M From Intel, Nike To Help Retailers Predict What Shoppers Will Buy Next

Reflektion, a predictive analytics startup that helps retailers such as O’Neill improve customer conversion rates, has raised $8 million in Series B funding led by Intel Capital and Nike. The startup plans to use this additional funding in beefing up sales, marketing and also launch its e-commerce and business intelligence products. Predicting what customers plan to buy has been the Holy… Read More

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