Parag Lokhande is a seasoned analytics professional having spent 14 years in analytics. He has worked with Companies like Metlife, AEGON and ICICI prudential in the past. He likes to read and share new trends on analytics, is an active blogger and loves to interact with students.
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Parag Lokhande: Organization has long back realized that Data has to be at the core of the Risk, product and customer-related process and a lot of effort is put to capture and store data at various touchpoints. Company has also invested heavily on reporting tools so the data reaches to the last mile in a secured and effective way.
Not to change the topic here:
Pirates' trio bringing analytics to the forefront of game preparation | Pittsburgh Post-Gazette
5 Google Analytics Reports Every PPC Marketer Needs to Know About
On the other hand, it’s even easier to go down a rabbit-hole when presented with too much information.
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When making strategic decisions in PPC campaigns, these five reports help get me information faster.
With the recent update of Google’s match types , close variations have taken over campaigns.
To find this Google Analytics report, navigate to: Audience > Interests > In-Market Segments .
Data-Driven Cultures Start at the Top
It’s only when deep expertise exists at the top of the org charts that a penchant for evidence-based decision-making will develop pervasively throughout the organization. It’s too common to devolve responsibility for analytics modeling to junior positions, which prevents analytical mindsets from really taking hold. Like any other discipline, becoming good at analytics requires seasoning and experience, which junior employees are unlikely to have.
Yet companies that excel with analytics have more than access to great data and technology. These companies recognize that success with analytics also requires an analytical mindset among its executives and an analytical culture in the business. In other words, it's critical to bring the people along with the technology. There are two easy steps firms can take to do this.
Not to change the topic here:
Yellowfin Named Visionary in Analytics and Business Intelligence Platforms, by Gartner Magic
"We are thrilled that Yellowfin has been recognized as a Visionary by Gartner in their Gartner Inc. 2020 Magic Quadrant for Analytics and Business Intelligence Platforms," said Glen Rabie, CEO of Yellowfin . "We believe that our ongoing commitment to product innovation to deliver an exceptional analytical experience for our customers and our partners has been recognized.
Marketing Technology News: 63% Customers Prefer Targeted Advertising to Locate Product in Stores, Reports Valassis Digital
German enterprises getting to grips with IoT data analytics – with many using AWS to power it -
According to a new report published by ISG, German enterprises are looking for service providers to help them use Amazon Web Services (AWS) for data analytics and IoT applications, and increasingly to run SAP products.
The report noted an increasing demand for AWS data analytics solutions among many German enterprises due to a rising demand for public cloud transformation.
In Germany, there is a significant potential growth for running SAP products on AWS, the report found. SAP in the public cloud is still a latest market, but German firms have started to run SAP on AWS, and the report forecasts huge growth in 2020. Andrea Spiegelhoff, partner, ISG DACH said: “Considering AWS’ rapidly growing relevance as an IT provider, the AWS partner ecosystem is becoming increasingly relevant.”
Obviously AI introduces natural language predictive analytics service | ZDNet
A few days back, Joe McKendrick wrote about an IBM study showing seven business areas that are ripe for AI . It's just part of the onrush of developments that are making AI mainstream. Ad so it's easy to get jaded when you hear an announcement of yet another AI-enhanced tool.
Obviously AI brings no-code predictive analytics to conventional structured data, which can include standard database sources or file formats such as CSV.
The key is a combination of natural language processing and AutoML-like capabilities that let you write a query down in standard English (you can skip the SQL), choose the data set and column(s) you want to target. Then the service performs some data cleansing to normalize the data, internally runs a handful of competing algorithms to select the best one, and then spin out the results. You can have the system provide an additional assist in recommending the best columns of data to use.
Alight Analytics disrupts marketing analytics industry | MarTech Cube
Alight Analytics has paved a new way in the world of marketing analytics with a suite of outcome-focused reporting solutions that deliver a turnkey way to analyze marketing performance. Each solution is designed specifically for the marketer's unique campaign goals and strategies without requiring them to be data experts.
Until now, marketers have had to choose between self-service software or outsourcing to a consultant, only to end up with a solution they outgrow or are unable to maintain. Alight's lineup of solutions boldly delivers a third option to marketers, combining Alight's proprietary ChannelMix platform, which automates the data and reporting workflows, with a team of analytics experts who ensure the solution is customized and configured for the marketer's role and campaign strategy martech news .
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