Analytics - Blog Posts

Nothing aggravates me more than the ‘Ask app not to track’ notification, because WHAT DO YOU MEAN I HAVE TO ASK??? I’m not knocking gently on the door, pushing it open, and saying ‘ummmm… can you maybe not take all of my data and analytics and make me feel like less of a person and more of an opportunity for capitalism?…. no…? Okay, sorry for bothering you.’ NO! I want them to NOT TRACK ME.

Growth Hacking Mettre en place des ANALYTIQUESCette vidéo est un extrait du Chapitre 4-2 de la formation Growth Hacking: https://formationgrowthhacking.com (inscription gratuite)Le formateur explique la raison fondamentale d’implanter des outils de mesure de vos performances. C’est la base du Growth Hacking! Mesurer l’expérience!= Pour une initiation au Growth Hacking : http://webinar.formationgrowthhacking.com= Pour acheter la formation : http://promo.formationgrowthhacking.com#analytics #objectifs #aquisition #growthhackprocess #Branding #Business #BusinessAngel #startup #formationgrowthhacking #growthhacking #marketinginternet #contentmarketing #creativity #customerjourney #DataAnalysis #digitalconsultant #digitalentrepreneur #digitalmarketer #digitalmarketeur #DigitalMarketing #ecommerce #digitalstrategy #digitaltransformationCentre de formation France EURL SIREN:831 709 43144 rue Montmejean33100 Bordeaux - FRANCE Tel: +33(0)7 67 37 17 15 ( whatsapp, Viber)©FormationGrowthHacking.com 2017 - 2019Tous droits réservés Copyright © 2017 - 2019Organisme de Formation enregistré sous le numéro 75331088933. Cet enregistrement ne vaut pas agrément de l’Etat.

“Never in business history have we seen a single company with so wide of a scope in its operations, so deep of its analytic capabilities, and so committed to embark on such a bold experiment. It’s set to reinvent the retail industry as we know it.“

Upstatae NY is High above the mean. Not surprised

Here's A Map Of The Most Racist Places In America, According To Google Searches

Here’s A Map Of The Most Racist Places In America, According To Google Searches

Some of you may have wondered where the most racist areas in America are. Are they heavily-Democratic urban areas where the “true racists” don’t realize that racism is over in America (as claimed by the GOP)?

According to a new study published in PLOS ONE, the most racist people in America live in “the rural Northeast and South.”

via PLOS ONE

This map represents data culled by scientist Seth…

View On WordPress

Data analytics is getting pretty fascinating these days! Wish I had the time to take more courses

Togliere "(not provided)" dalle parole chiave di Google Analytics

Da più di un anno, ormai, se monitorate il vostro sito web con Google Analytics avrete notato un fastidiosissimo “(not provided)” tra le parole chiave nelle sorgenti di traffico. Ancor più fastidioso se la percentuale è molto alta ed è la prima parola chiave per numero di visite.

Ma cosa significa “(not provided)”?

Significa che Google non vuole fornirci le parole chiave che gli utenti del nostro sito hanno digitato per finire sul nostro sito.

Perché?

Perché tutti quei “(not provided)” sono in realtà gli utenti loggati in Google (Google+, Gmail, o qualunque altro servizio Google) che, effettuando una ricerca, sono finiti sul nostro sito. In pratica, se l’utente si logga, per esempio, su Gmail e nella stessa sessione effettuando una ricerca finisce nel nostro sito, non possiamo sapere cosa ha digitato per atterrarci.

Possiamo scoprire le parole chiave di “(not provided)”?

Sì e no. Nel senso che con il metodo seguente non riusciremmo a sapere le parole chiave ma le pagine di destinazione. Vediamo insieme come fare nel pannello di Google Analytics:

• andate su Amministrazione – Filtri;

• cliccate su “Nuovo Filtro”;

• inserite i seguenti parametri:

Termine della campagna: (.not provided.)

URI della richiesta: (.*)

Termine della campagna: np - $B1

• cliccate su Salva.

D’ora in poi tutti i visitatori loggati in Google non verranno buttati nel calderone del “(not provided)” ma divisi per pagine di destinazione. Certo, non è il massimo, ma sempre meglio che non sapere niente.

Introducing Top 3 Startups Ready to Take on Banking Analytics

Success of any business decision depends on the quality and quantity of information. Some firms have access to more information than others; particularly good examples could be banks.

The banking industry is subject to a wide array of stringent regulations that govern their daily operations. Remaining compliant with this environment requires banking institutions to memorize nearly all aspects of their actions, including conversations, transactions, and customer transcripts.

In short, banks produce reams of raw data daily, most of which are to be scarcely analyzed or reviewed. Data analytics is a powerful solution that enables banks to take advantage of the raw data by transforming it into highly useful analytical forecasts.

Like diamond amidst coal, raw data includes valuable information that is left undiscovered as its extraction is often burdensome and expensive. This has created an opportunity for entrants to help banks make complete sense of data and comply with the increasing regulations in a cost-efficient manner. Here is a glance on the three of the hottest banking analytics solution startups catching the attention of leading players in the industry.

• Hexanika

Hexanika is a forerunning data management and reporting solution provider for financial institutions. It uses artificial intelligence, big data, and robotics to automate the process of data management. Its solutions aid financial firms to tackle the rapid challenge posed by regulatory pressures and increasing global competition while reducing cost and time of the processes. Founded in the U.S., its innovative solutions improve data quality and keep regulatory reporting in harmony.

Hexanika’s unique big data deployment approach simplifies, optimizes, and reduces the cost of banking analytics. To streamline data, it offers end to end data management, analytics, and reporting platform making banking analytics effective. The company is providing its solutions to financial institutions and helping them keep pace with changing regulatory requirements by leveraging artificial intelligence.

• Flybits

Banks are looking for ways to maximize their use of data and better engage customers. The contextual data intelligence company, Flybits leverages the Read More

Fintech

Banking

Data Solutions

The Importance of AI in Automation

In this race for applying AI in unique and attractive ways, an important piece of the AI learning curve is missing—the flashy AI technology used at the front end cannot be fully appreciated without a complex infrastructure that comprises end-to-end process automation. Read More

Advanced Analytics Revamping the Healthcare Industry

Over the past few years, emerging technology trends like cloud, predictive analytics, big data analytics, and machine learning have been significantly transforming the healthcare landscape. 

The industry is leveraging advanced analytics to reshape the way care is delivered, identify gaps in quality documentation and assessment to produce insights that lead to better outcomes, address performance challenges, lower costs and build new Read More

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SnapShot at ITB Berlin 2016