By observing the different approaches to data analytics taken by a wide range of companies, we can see some best practices for connecting data to real business value. Data science can’t happen in a silo. It must be tightly integrated into the business organization, operations, and processes. Business leaders and data scientists should jointly decide which business problems to focus on. If there is any question about priority, the final call should go the business heads.
In practicing data analytics for more than 30 years, and leading, advising, interviewing and teaching executives in many industries on data analytics for five years, I've observed that their approaches generally fall into one of five scenarios: two that typically fail, two that sometimes work partially, and one that has emerged as best. Let's take a look at each:
Many things are taking place:
Big Data Analytics Industry Report 2020 - Rapidly Increasing Volume & Complexity of Data,
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Acquia-Owned AgilOne Holds Its Own In The Crowded CDP Market With A Combo Of Analytics And
This is the second in AdExchanger's "Meet the CDPs" series. Read the first interview with mParticle .
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The real promise of a CDP is analytics, said Omer Artun, chief science officer at Acquia, a SaaS digital experience platform owned by Vista Equity Partners.
"You can't build a good customer experience without knowing who the customer is – and the answer to that is the analytics piece, finding patterns in the data," said Artun, who joined Acquia late last year as part of its acquisition of AgilOne , one of the original CDPs.
Hyperconverged Infrastructure for AI, Machine Learning, and Data Analytics – MeriTalk
When you hear the terms "artificial intelligence" (AI) and "machine learning" (ML) (and let's be honest, if you have even a sliver of interest in technology, it's difficult not to), hyperconverged infrastructure (HCI) may not be the first thing that comes to mind. However, HCI is beginning to play an important role in high-performance use cases like AI and ML with its ability to capture, process, and reduce vast quantities of data at the source of creation in a small form factor.
Hyperconverged infrastructure at the core of a hybrid multi-cloud model bridges the gaps among public cloud, on-prem private cloud, and existing data center infrastructure, enabling organizations to manage end-to-end data workflows to help ensure that data is easily accessible for AI. As organizations develop their AI/ML strategy and architect an IT environment to support it, the resources needed for a successful deployment quickly become evident.
Other things to check out:
Facebook sues data analytics firm OneAudience over malicious SDK – Naked Security
Facebook is suing the data analytics firm OneAudience for allegedly developing a malicious, social-media-profile-grabbing software development kit (SDK) and then paying app developers to embed it in their apps.
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This was all done to provide marketing to OneAudience’s customers, Facebook says. It’s alleging that OneAudience also lied about being partners with Facebook on its website. From the complaint:
Uncover Hidden Potential With Network Analytics
Today's technology-connected workplaces are transforming how relationships form by making it faster and easier to share information and influence opinions. Even remote employees who don't talk around the proverbial water cooler aren't isolated. Chat tools, videoconferencing, and a host of other apps make it possible to interact, exchange ideas, propose solutions, and build networks across oceans, departments, and organizations.
The result is a complex web of relationships that affects organizations. Employers can use these internal networks to propel their business forward—if they take the time to map them, analyze what they find, and match them to the organizational strategy. In fact, companies can uncover answers to a broad range of questions that influence key outcomes for individual employees, teams, and the organization as a whole.
Study: Gender Diversity In Analytics - 2020
Women are breaking the glass ceiling across industries and enterprises, rising to the top echelons of company departments and management. Nevertheless, the participation of women in the technology sector, and more specifically across the data science domain, is still significantly constrained by low participation fueled by possible hiring stereotypes and mindsets around women in science functions v/s women in art functions.
The greater adoption and scaling of data science services, such as predictive analytics, artificial intelligence (AI), and machine learning (ML), across all industries from Industrials to Media, enterprises ranging from large to small, and organization functions covering HR and Marketing, renders the representation of women across the data science domains all the more significant as the representation impacts not a single, isolated enterprise function but the entire organizational ecosystem
Global Audience Analytics Market Analysis, Trends, and Forecasts, 2019-2025 -
The "Audience Analytics - Market Analysis, Trends, and Forecasts" report has been added to ResearchAndMarkets.com's offering.
Audience Analytics market worldwide is projected to grow by US$4 Billion, driven by a compounded growth of 11.4%.
Solutions, one of the segments analyzed and sized in this study, displays the potential to grow at over 10.2%. The shifting dynamics supporting this growth makes it critical for businesses in this space to keep abreast of the changing pulse of the market. Poised to reach over US$4.9 Billion by the year 2025, Solutions will bring in healthy gains adding significant momentum to global growth.
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