--- a/components-for-industry/application-services-and-middleware/data-management/data-analytics.html
+++ b/components-for-industry/application-services-and-middleware/data-management/data-analytics.html
@@ -115,9 +115,9 @@
                         </div>
                         <div class="single-services col" style="margin-left: 10px;">
                             <span class="lnr lnr-cart" style="font-size:40px; color:#988fff;margin-top: 30px; "></span>
-                            <h4>Publish to vf-OS Store</h4>
+                            <h4>Publish to vf-Store</h4>
                             <p>
-                                Once ready, easily, and quickly publish to vf-OS Store.
+                                Once ready, easily, and quickly publish to vf-Store.
                             </p>
                         </div>
                     </div>
@@ -135,28 +135,34 @@
                     <div class="col-md-7 mt-sm-20 left-align-p">
                         <h2>Data Analytics</h2>
                         <br>
-                        <p>The vf-OS Data Analytics covers the creation of building blocks for off-line and stream analytical processing of inputs
-                        coming from the Manufacturing environment. This includes machine learning algorithms supporting supervised and
-                        unsupervised scenarios.</p>
-
-                        <p>In a factory there will be two different types of analytics tasks to be performed: those ones depending on historical
-                        data sources, e.g. readings of sensors for a given period of time in the past, and those ones that need to be
-                        calculated on real-time as they will be involved in triggering alarms conducting to time (or spend) critical actions.
-                        As such, the Data Analytics component integrates these two different modules focusing each of them in these two areas.</p>
-
-                        <p>The Historic Data Analytics is a browser-based tool designed to guide the developer in specifying and deploying
-                        historic analytics models. The Streaming Data Analytics, though, is a service that detects anomalies in the values
-                        received from streaming data. Both of them are callable through the vf-OS Studio.</p>
-
-                        <p>In the Historic Data Analytics, developers will be able to load datasets for training and testing purposes to deploy a
-                        prediction model. Once the developer considers the analytics model is finished, it can be published in the vf-OS Store
-                        for its usage within the Process Designer. Regarding the Streaming Data Analytics, developers will use a REST API to
-                        define stream analysis modules. In each module, several conditions can be established, involving mathematical
-                        operators, streaming data and user defined thresholds. When a condition is met, an alarm is raised by the Streaming
-                        Data Analytics.</p>
-
-                        <p>For developing and using these analytics libraries, the developers need to have access and re-use the following vf-OS
-                        elements:</p>
+                        <p>
+                            The vf-OS Data Analytics covers the creation of building blocks for off-line and stream analytical processing of inputs 
+                            coming from the Manufacturing environment. This includes machine learning algorithms supporting supervised and unsupervised 
+                            scenarios.
+                        </p>
+
+                        <p>
+                            In a factory there will be two different types of analytics tasks to be performed: those ones depending on historical data sources, 
+                            e.g. readings of sensors for a given period of time in the past, and those ones that need to be calculated on real-time as they will 
+                            be involved in triggering alarms conducting to time (or spend) critical actions. As such, the Data Analytics component integrates these 
+                            two different modules focusing each of them in these two areas.
+                        </p>
+
+                        <p>
+                            The Historic Data Analytics is a browser-based tool designed to guide the developer in specifying and deploying historic analytics models. 
+                            The Streaming Data Analytics, though, is a service that detects anomalies in the values received from streaming data. Both of them are 
+                            callable through the vf-OS Studio.
+                        </p>
+
+                        <p>
+                            In the Historic Data Analytics, developers will be able to load datasets for training and testing purposes to deploy a prediction model. 
+                            Once the developer considers the analytics model is finished, it can be published in the vf-Store for its usage within the Process Designer. 
+                            Regarding the Streaming Data Analytics, developers will use a REST API to define stream analysis modules. In each module, several conditions 
+                            can be established, involving mathematical operators, streaming data and user defined thresholds. When a condition is met, an alarm is raised 
+                            by the Streaming Data Analytics.
+                        </p>
+
+                        <p>For developing and using these analytics libraries, the developers need to have access and re-use the following vf-OS elements:</p>
 
                         <ul class="fa-ul">
                             <li><i class="fa-li fa fa-square"></i>vf-OS Studio</span> </li>
@@ -167,17 +173,17 @@
                         <div style="margin-top:20px;">
                                 <h4 style="margin-bottom:10px;">vf-OS Studio</h4>
                                 <p>
-                                    The development of any vApp starts with the access to the specific development IDE that vf-OS provides. Inside the
-                                    Studio, a direct access to the Data Analytics is provided to allow the developer to develop the analytics libraries.
-                                    Once these are ready, the Data Analytics allows to deploy them as standalone libraries.
+                                    The development of any vApp starts with the access to the specific development IDE that vf-OS provides. Inside the Studio, 
+                                    a direct access to the Data Analytics is provided to allow the developer to develop the analytics libraries. Once these are 
+                                    ready, the Data Analytics allows to deploy them as standalone libraries.
                                 </p>
                         </div>
 
                         <div style="margin-top:20px;">
                                 <h4 style="margin-bottom:10px;">vf-Store</h4>
                                 <p>
-                                    These deployed libraries are then annotated, uploaded and published to the vf-Store so that they are accessible for
-                                    being part of a vApp.
+                                    These deployed libraries are then annotated, uploaded and published to the vf-Store so that they are accessible 
+                                    for being part of a vApp.
                                 </p>
                         </div>