www.slideshare.net website review
Improve your SEO :: free trial!
www.slideshare.net is 63% geoptimaliseerd!
SEO Keyword summary for www.slideshare.net/slideshow/decision-management-systems-part-one-decision-discovery/9364232
Keywords are extracted from the main content of your website and are the primary indicator of the words this page could rank for. By frequenty count we expect your focus keyword to be decision
Focus keyword
Short and long tail
Short Tail Keywords decision management business |
long Tail Keywords (2 words) decision management management systems business rules management solutions decision modeling |
long Tail Keywords (3 words) decision management systems decision management solutions management systems part build decision management alliance osaka seminar 2011 decision management systems part 2 |
www.slideshare.net On-Page SEO Scan
Descriptive Elements
The <head> element of a www.slideshare.net/slideshow/decision-management-systems-part-one-decision-discovery/9364232 page is used to inform the browser and visitors of the page about the general meta information. The head section of the page is where we place the page title, the definition of the HTML version used, the language of in which the page is written. In the head section we can also include JavaScript and CSS (markup) files for the page.
Page title
Title length
decision management systems part one discovery ppt
Meta description
Meta description legth
Meta description SEO
decision management systems part one discovery download pdf view online free
Content SEO
Number of Words
Spam detected?
Headings
Heading distribution
Heading normalisation
Heading SEO impact
Emphasis (bold and italic)
Emphasis SEO impact
Nu emphasized (bold or italic) words detected !
Images
Number of images
Images dimensions
Image alt descriptions
Images SEO impact
slideshare scribd company logo decision management solutions how build managementjames taylor systems ceo discovery presenter james works clients improve business applying analytic technology automate decisions spent last years developing concept introduced changing world scalechanging expectations interactions are agile adaptive keep transparent mind test learn predictive not reactive steps discover making choices selections taking action different kinds strategic few number large impact should acquire exit market tactical control moderate reorganize supply chain change risk approach operational daytoday affect one transaction customer best offer risky loan claim fraudulent suitable repeatable non trivial measurable candidate automation key implement strategy focal point acquired big lumps but time maximize value scale types eligibility validation calculation fraud opportunity three discovering simple process age class sports accept lowrisk applicant sport previous heart attack existing cancer decline highrisk mediumrisk good medical record fewer claims multiple new longstanding same low medium determine type high eligible benefit validate completeness invoice calculate discount order assess select terms choose fast track these words system must answer question target decisionmaking kpis defines measure operations link between critical kpi mapping impacted improvement losses retention churn service budget callswhat shouldbe made initial price beoffered intervention callbe define name repeatability oneoff continuous description measurability poor specific immediate delayed defined set allowable degrees answers freedom many range any other results narrow gap wide returned timeliness slow realtime volume facts like complexity latency decompose decisioning required make guidelines policy documents human expertise regulations logic data describing case external reference decomposition example can buy profile available where lives promotions there capacity pricing rules servicegeographical availability usage purchase propensity sellcross sell additional similar compelling replacement services requested product hierarchy prioritization difference bad year spend committed based them well you whats worth whom more could active participants optimizing act intelligently own all book shows integrate technologies create october information about release visit code wwwibmpressbookscomtitle check webinars part recording will pacific analysis november opportunities hear speak sas forum netherlands amsterdam copenhagen analytics york emetrics demand las vegas building capability miami questions begin find matter model thank ceojamesdecisionmanagementsolutionscom models collecting dust transform from interesting imp increasing bpm agility effectiveness smarter simpler processes flexible easy rocksolid applications brfplus ppt bec bagalkot mba four capabilities reputation resiliency drj final savi chapter surviving crisis visual summary sim presentation current cem survey feb ibm optimera verksamhet och kundnyttan med tft robert falkowitz quantifying initiative prioritizing concepts seminar valuable paradox uncertainty managed uius health overview accenture datadriveninsights optimizeserviceexperience consulting perspective fueling success acquisitions nhrdn virtual learning session dynamic designing alternate meet requirements financial practical methods convert dol consultancy airport sector scope workplace promotion assessment managerial economics project bridging projects theory problems under uncertaionity pgbm trm lecture sho managing uncertainties introduction wellness doms bba week construction tools applied economic basic deploying infrastructure pawcon using ignite why speed friendly mining camp sales buyer london legacy modernization anil kumar cfo mantri developers march secrets creating successful enter idaho owners symposium overcome hml transformation keynote presented aug separates winners losers thought leadership digitaldecisioningfinal digital productivity insurance backward engineering plan machine deployment reverse five reasons fire consultant becoming enterprise delivering handling pilot simplifying complex elements platform role excellence refinements dmn suggested realworld experience bringing clarity modeling leading prac teams things need know before deploy adopt brms program ask partner start first decisionsfrst modeler red hat jboss decisionsfirst odm demonstration design accident venture bolzano uni copilot event cvlachospdf fido alliance osaka passkeys amazonpdf cheri cybersecurity uipath suite series state ics iot cyber threat landscape report preview free complete python step towards science elevating ddd patterns through object calisthenics microsoft power platformgaspiotispdf energy webinar electrical grid modelling simulation powsybl monitoring java application security jdk jfr events observability every developer developerweek europepdf road aheadpdf alt gdg cloud southlake boule rebala effective appsec sdlc video streaming then now future aspectspdf graphrag llm knowledge graph securing kubernetes cluster stepbystep guide generative deep dive advancing proof production overviewpdf
Mobile SEO www.slideshare.net/slideshow/decision-management-systems-part-one-decision-discovery/9364232
Mobile rendering
Mobile optimizations
Responsive design detected (mobile css)
No flash detected !
Mobile improvement
Marketing / lead generation for www.slideshare.net/slideshow/decision-management-systems-part-one-decision-discovery/9364232
Social Media
Facebook shares | Facebook likes | ||
Facebook comments | Tweets | ||
Google +1 |
Conversion form
Search form
Analytics
Online presence
SERP Preview
SERP Title
SERP Link
SERP Description
Domain Level SEO
Domain name
18 characters long
Domain name SEO Impact
Path name
decision found in path !
how found in path !
management found in path !
part found in path !
systems found in path !
Structured data
Publisher Markup
Other Structured data
Website configuration
Correct processing of non-existing pages?
Favicon icon found?
HTML request without WWW redirected correctly?
Robots.txt found?
Sitemap found?
Navigation and internal links
Navigation
Url seperator
Human readable urls
Number of links
Link SEO Impact
BabasabPatil decision making ppt bec bagalkot mba
|
ezendu managing decision under uncertainties
|
jamet123 models collecting dust how to transform your results from interesting to imp
decisionsfrst modeler and red hat jboss brms
|
lindalocke1 reputation resiliency drj 3282012 final
|
mikeparker44 workplace health promotion presentation
|
rss 1
|
slideshow models collecting dust how to transform your results from interesting to imp
increasing bpm agility and effectiveness with decision management
bpm and decision management for smarter simpler and more agile processes
/building-flexible-easy-to-change-and-rocksolid-applications-with-brfplus-decision-services/13609152
building flexible easy to change and rocksolid applications with brfplus d
four capabilities of decision management systems
how to build decision management systems part 3 decision analysis
savi chapter6
surviving the crisis a visual summary
sim presentation 092402
current analysis cem survey feb 2012 final
ibm information management optimera er verksamhet och ka kundnyttan med n
tft12 robert falkowitz
quantifying initiative value amp prioritizing new concepts seminar
the valuable paradox of uncertainty
managed it presentation
business processes what are they
uius health it overview and capability
accenture datadriveninsights optimizeserviceexperience
process consulting perspective
fueling the success of acquisitions
nhrdn virtual learning session on dynamic decision making
designing alternate solutions how to find solutions that meet your requirements
analytics in financial services practical methods that convert data to dol
chapter 2
decision making
how to build decision management systems part 2 decision services
consultancy in airport sector scope and opportunities
business management consultancy risk assessment
risk uncertainty in managerial decision making managerial economics
strategic project management bridging the gap between business and projects
decision theory problems
decision making under uncertaionity
pgbm01 mba financial management and control 201516 trm1 a lecture 8 sho
decision analysis introduction
workplace wellness presentation
decision analysis ppt bec doms
2 introduction to risk and uncertainty
bba 3274 qm week 4 decision analysis
risk and uncertainty in construction projects
decision theory approach in management
managerial economics and tools for applied economic theory
risk and uncertainty
basic tools of managerial economics for decision making
from bi to predictive analytics
introduction to decision management
deploying analytics with a rules based infrastructure pawcon sf 2011
using business rules to make processes simpler smarter and more agile
ignite why model decisions
predictive analytics at the speed of business
business friendly data mining
decision camp 2014 james taylor decision management 101
sales process in a buyer 2 world london
legacy modernization with decision management and business rules
financial decision making by anil kumar a cfo mantri developers 24 march 2011
managerial decision making
using predictive analytics secrets to creating a successful predictive enter
idaho business owners symposium 03 2012
overcome risk using process management and improvement
hml risk transformation
keynote on financial services analytics presented aug 2011
what separates the winners from the losers 06 04 2012 final
decision analysis making the big decision
thought leadership as sales strategy
customer digitaldecisioningfinal
introduction to digital decisioning
introduction to digital decisioning
increasing productivity in insurance operations with digital decisioning
backward engineering plan machine learning deployment in reverse
five reasons to fire your rules consultant
3 secrets to becoming a predictive enterprise
delivering the business value of analytics
what is a claims handling pilot
simplifying complex processes with decision management
3 critical elements of a digital business platform
the role of decision models in analytic excellence
mind the gap refinements to dmn 11 suggested by realworld experience
bringing clarity to analytics projects with decision modeling a leading prac
analytics teams 5 things you need to know before you deploy your model
3 reasons to adopt decision modeling in your brms program
analytics teams 6 questions to ask your business partner before you model
4 reasons to start with decision modeling on your first brms project
decisionsfirst modeler and ibm odm demonstration
by design not by accident agile venture bolzano 2024
uni systems copilot event05062024cvlachospdf
fido alliance osaka seminar passkeys at amazonpdf
introduction to cheri technology cybersecurity
uipath test automation using uipath test suite series part 4
state of ics and iot cyber threat landscape report 2024 preview
free complete python a step towards data science
elevating tactical ddd patterns through object calisthenics
microsoft power platformgaspiotispdf
lf energy webinar electrical grid modelling and simulation through powsybl
monitoring java application security with jdk tools and jfr events
observability concepts every developer should know developerweek europepdf
fido alliance osaka seminar passkeys and the road aheadpdf
alt gdg cloud southlake 33 boule rebala effective appsec in sdlc using
video streaming then now and in the future
fido alliance osaka seminar fido security aspectspdf
graphrag is all you need llm knowledge graph
securing your kubernetes cluster a stepbystep guide to success
generative ai deep dive advancing from proof of concept to production
fido alliance osaka seminar overviewpdf
|
www.slideshare.net decision management solutions
revolution analytics
decision management solutions
babasab patil
linda locke reputation strategist
mohamed abada
mashauri limited
jeffrey barnes
jmarcheck
ibm sverige
tft presentations tomorrows it service future today
robert brown
tomsmyth1
christiankobsa
rajesh rajasekaran
brian crotty
vibhanshu sharma
joe torrez torrez bv
national hrd network
baexperts
fitzgeraldanalytics2
t cummings
sharmasl
prashanth m r
mike parker
s sravi naicker
mateen altaf
the project strategy consulting group
de la salle universitymanila
suresh thengumpallil
aquamarine emerald
elijah ezendu
kelly kusmulyono
ashwanimutha
shahdila
stephen ong
sameer nawab
sanna1
jay shah
brad stollery
milan padariya
decision camp
jurgen heyman
gajananh999
greatqadirgee4u
david c smith
cathy cecere
andrew smart
fitzgerald analytics inc
jason dea
endeavor management
forum corporation
pierluigi pugliese
uni systems smsa
fido alliance
mikeeftimakis1
dianagray10
prayukth k v
rinamondal9
dorra bartaguiz
danbrown980551
anamaria mihalceanu
paige cruz
james anderson
alpenadriauniversitt
guy korland
katiahimeur1
aggregage
about
copyright
|
Links to external pages
Outloing links
support.scribd.com
support.scribd.com
support.scribd.com
www.twitter.com
SEO Advice for www.slideshare.net
In this section we provide pointers on how you can to optimize your web page so it can be found more easily by search engines and how to make it rank higher by optimizing the content of the page itself. For each of the individual criteria the maximum score is 100%. A score below 70% is considered to be indication that the page is not complying with general SEO standards and should be evaluated and/or fixed. Not every factor is weighted the same and some are not as important as others. Relatively unimportant factors like meta keywords are not included in the overall score.
Item | Factor | Pointers | |
---|---|---|---|
PageTitle | 100% | Far too many sites lack a page title. A page title is the first thing that shows in the search results so always use the title element. | |
Title relevance | 74% | A title should reflect the contents of a site. This site has a 56 % match | |
Title Length | 100% | Limit your title to anywhere between 40 and 70 characters. Your title was 62 characters long | |
Meta Description | 100% | A meta description is the second element that shows in the search results so always use the meta description. | |
Meta description length | 60% | The meta description should be between 145 and 160 characters. This meta description is 100 characters long. | |
Meta description relevance | 65% | Meta Description should reflect the contents of a site. This site has a 36 % match | |
Number of internal links | 30% | Linking to internal pages makes pages easier to find for search engines. Try to keep the number of links on your page roughly below 100. There are 416 internal links on this page. | |
Folder structure | 100% | We found a folder structure in the links on your page. A good folder structure makes a site easier to navigate. We found 7 level 1 folders and 112 folders above or in the first level of navigation. | |
Headings | 81% | Headers should reflect the contents of a site. This site has a 35 % match | |
Links | 14% | Link anchors should to some degree reflect the contents of a site. This site has a 7 % match | |
Image alt tags | 17% | Image alt tags should to some degree reflect the contents of a site. This site has a 6 % match | |
Html ratio | 30% | Try to keep the html / text ratio as low as possible. More html means longer loading times. Layout should be handled in a serpate css file | |
Image descriptions | 100% | All images on this page have been described. Great job ! | |
Page errors | 100% | Pages with no errors display significantly faster on most browsers. We detected 0 errors and warnings | |
WordCount | 20% | An ideal page contains between 400 and 600 words.This page contains 9557 words | |
Server response time | 30% | A slow server slows down a website. This server responds 292.8% slower the average | |
Gzip compression | 30% | This site does not use Gzip compression. Pages may not display as fast as they could | |
Keywords in Domainname | 30% | There are no important keywords in your domain name | |
Keywords in domain path | 100% | There are important keywords in the domain path | |
Structured Data | 100% | Structured data makes it easier for search engines to index your website | |
Inline css | 0% | Do not use inline css declarations. Inline css will slow down the rendering of the website. We detected 656 inline style declarations ( <a style="color:green">) with a size of 15178 bytes | |
Excessive use of the same words | 100% | There is no indication that there are one or more keywords that are used excessively. | |
Frames or iframes | 20% | The use of (i)frames can lead to problems crawling your page. Wij found 1 frame(s) on your page | |
Flash | 100% | Perfect, we detected no flash objects on your page | |
Css | 100% | Perfect, we did not detect too many CSS files | |
Javascript | 30% | Wij detected too much (14) blocking JavaScript files. Try to combine or defer the loading of JavaScript files | |
Mobile Website | 100% | Perfect, we found a responsive design for mobile users | |
Most important heading | 100% | Perfect, we detected a correct use of the most important (h1) heading! | |
Normalized headings | 100% | Perfect, we found a correct use of normalized headings ! |
How would you like to have SEO advice for all your pages ?? Start your SEO Dashboard and optimize your website!
www.slideshare.net images and descriptions
4 images found at www.slideshare.net Images can improve the user experience for a website by making a pag visually appealing Images can also add extra keyword relevance to a webpage by using alt tags. Images can also slow down a website. If the width and height for a picture is not specified for a browser know in advance how large the image is. A browser must first load the picture and see before it knows how much space should be on the page. Upon reservation In the meantime, the browser can do little but wait. When the height and width for the plate are given in the HTML code, a browser just continues to build for a page while the images load in the background.
https://public.slidesharecdn.com/images/next/logo-slideshare-scribd-company.svg?w=256&q=75 height: 30 width: 120 description: slideshare a scribd company logo |
|
https://cdn.slidesharecdn.com/profile-photo-jamet123-48x48.jpg?cb=1632762129 height: height attribute not set width: width attribute not set description: decision management solutions |
|
https://image.slidesharecdn.com/decisionmanagementsystemspart1-110921133833-phpapp02/85/decision-management-systems-part-one-decision-discovery-1-320.jpg height: height attribute not set width: width attribute not set description: how to build decision management james taylor systems ceo decision discovery |
|
http://www.slideshare.net/data:image/gif;base64,r0lgodlhaqabaiaaaaaaap///yh5baeaaaaalaaaaaabaaeaaaibraa7 height: height attribute not set width: width attribute not set description: fido alliance osaka seminar: overview.pdf |
How are images contributing to your SEO site-wise ? Your leading content tool has the awnsers!