Tuesday, December 29, 2015

Is Your Web Site Optimized for Mobile Devices?

Many people are highly dependent of their mobile devices for every day interactions, including mobile commerce. Our society is becoming highly mobile and connected. In the latest Shop.org and Forrester Research Mobile Commerce Survey, it's estimated that U.S. smartphone commerce will grow to $31 billion by 2016.

Those organizations that can best serve mobile customers will have an advantage in the competition. With a surge in mobile traffic comes the added potential to connect with and sell to customers through mobile commerce. Having a concrete mobile infrastructure plan and strategy is no longer an option, as it had been in recent years, but rather a must to compete in any customer-facing situation.

But despite this upward trajectory, retailers and other consumer-oriented companies still express some hesitancy about investing in multi-device environments. There is still some apprehension by companies, when it comes to moving forward with mobile planning. Companies still struggle to maintain uniformity across multiple device experiences when there are various screen sizes, operating systems, hardware specifications, and loading speeds to consider. One fear is that of the unknown, but security, data management, and simply proving a use case and subsequent return on investment are concerns as well.

The key issue in smartphone shopping continues to be the form factor, which can make navigation more difficult for customers. In addition to slower page load times on smartphones, some customers are concerned about the security of the transaction or simply complain that the experience just is not the same.

A successful mobile experience, like many other customer experiences, is about fulfilling customers' needs. First-time users of a mobile site or app tend to be less satisfied with their mobile experiences than frequent users because of their lack of familiarity with layouts, navigation, and functionality according to the survey of the mobile users. Knowing the different kinds of mobile devices customers use is critical. It is pertinent to develop a strategy that encompasses all types of customer scenarios.

Before embarking on any one mobile strategy, it is important to learn how your company's customers most likely would use their mobile devices. In addition to enabling customers to interact how they wish, any company looking to optimize its mobile presence must naturally consider the effects on the business as well, and how mobile usage will impact other lines of business and cross-channel marketing efforts.

In addition to justifying a use case and ROI for mobile, companies that wish to get into the mobile side of business must be aware of its limitations. Under ideal circumstances, companies want to engage with their customers and cultivate a one-to-one relationship while taking into consideration CANSPAM and privacy regulations. It is very important to adjust taxonomy and information architecture for the mobile experience. A lot of searches are made using mobile devices, so search also has to be optimized.

Optimizing your mobile site or developing a native application is no simple task. There are security considerations, as well as device-specific functions, to consider. Don't take a cookie-cutter approach. Some companies make the mistake of simply cloning online information without considering that consumer behavior on the mobile phone is dramatically different. Justify mobile ROI with consumer insight.

Consider security. Create a military-grade security infrastructure, while maintaining user-friendly design. Hire the best user interaction designer to design the security setup interaction.

Utilize mobile wisely. Once someone has discovered your brand through search, referral, or a marketing message, and they download the app, this may indicate a loyal customer. The app can be a great way to maximize and monetize that loyal relationship because it's in a controlled environment.

Galaxy Consulting has experience optimizing information architecture and search for mobile devices. Contact us today for a free consultation.

Monday, December 7, 2015

Data Lake

A data lake is a large storage repository and processing engine. Data lakes focus on storing disparate data and ignore how or why data is used, governed, defined and secured.

Benefits

The data lake concept hopes to solve information silos. Rather than having dozens of independently managed collections of data, you can combine these sources in the unmanaged data lake. The consolidation theoretically results in increased information use and sharing, while cutting costs through server and license reduction.

Data lakes can help resolve the nagging problem of accessibility and data integration. Using big data infrastructures, enterprises are starting to pull together increasing data volumes for analytics or simply to store for undetermined future use. Enterprises that must use enormous volumes and myriad varieties of data to respond to regulatory and competitive pressures are adopting data lakes. Data lakes are an emerging and powerful approach to the challenges of data integration as enterprises increase their exposure to mobile and cloud-based applications, the sensor-driven Internet of Things, and other aspects.

Currently the only viable example of a data lake is Apache Hadoop. Many companies also use cloud storage services such as Amazon S3 along with other open source tools such as Docker as a data lake. There is a gradual academic interest in the concept of data lakes.

Previous approaches to broad-based data integration have forced all users into a common predetermined schema, or data model. Unlike this monolithic view of a single enterprise-wide data model, the data lake relaxes standardization and defers modeling, resulting in a nearly unlimited potential for operational insight and data discovery. As data volumes, data variety, and metadata richness grow, so does the benefit.

Data lake is helping companies to collaboratively create models or views of the data and then manage incremental improvements to the metadata. Data scientists and business analysts using the newest lineage tracking tools such as Revelytix Loom or Apache Falcon to follow each other’s purpose-built data schemas. The lineage tracking metadata also is placed in the Hadoop Distributed File System (HDFS) which stores pieces of files across a distributed cluster of servers in the cloud where the metadata is accessible and can be collaboratively refined. Analytics drawn from the data lake become increasingly valuable as the metadata describing different views of the data accumulates.

Every industry has a potential data lake use case. A data lake can be a way to gain more visibility or to put an end to data silos. Many companies see data lakes as an opportunity to capture a 360-degree view of their customers or to analyze social media trends.

Some companies have built big data sandboxes for analysis by data scientists. Such sandboxes are somewhat similar to data lakes, albeit narrower in scope and purpose.

Relational data warehouses and their big price tags have long dominated complex analytics, reporting, and operations. However, their slow-changing data models and rigid field-to-field integration mappings are too brittle to support big data volume and variety. The vast majority of these systems also leave business users dependent on IT for even the smallest enhancements, due mostly to inelastic design, unmanageable system complexity, and low system tolerance for human error. The data lake approach helps to solve these problems.

Approach

Step number one in a data lake project is to pull all data together into one repository while giving minimal attention to creating schemas that define integration points between disparate data sets. This approach facilitates access, but the work required to turn that data into actionable insights is a substantial challenge. While integrating the data takes place at the Hadoop layer, contextualizing the metadata takes place at schema creation time.

Integrating data involves fewer steps because data lakes don’t enforce a rigid metadata schema as do relational data warehouses. Instead, data lakes support a concept known as late binding, or schema on read, in which users build custom schema into their queries. Data is bound to a dynamic schema created upon query execution. The late-binding principle shifts the data modeling from centralized data warehousing teams and database administrators, who are often remote from data sources, to localized teams of business analysts and data scientists, who can help create flexible, domain-specific context. For those accustomed to SQL, this shift opens a whole new world.

In this approach, the more is known about the metadata, the easier it is to query. Pre-tagged data, such as Extensible Markup Language (XML), JavaScript Object Notation (JSON), or Resource Description Framework (RDF), offers a starting point and is highly useful in implementations with limited data variety. In most cases, however, pre-tagged data is a small portion of incoming data formats.

Lessons Learned

Some data lake initiatives have not succeeded, producing instead more silos or empty sandboxes. Given the risk, everyone is proceeding cautiously. There are companies who create big data graveyards, dumping everything into them and hoping to do something with it down the road.

Companies would avoid creating big data graveyards by developing and executing a solid strategic plan that applies the right technology and methods to the problem. Hadoop and the NoSQL (Not only SQL) category of databases have potential, especially when they can enable a single enterprise-wide repository and provide access to data previously trapped in silos. The main challenge is not creating a data lake, but taking advantage of the opportunities it presents. A means of creating, enriching, and managing semantic metadata incrementally is essential.

Data Flow in the Data Lake

The data lake loads extracts, irrespective of its format, into a big data store. Metadata is decoupled from its underlying data and stored independently. This enables flexibility for multiple end-user perspectives and maturing semantics.

How a Data Lake Matures

Sourcing new data into the lake can occur gradually and will not impact existing models. The lake starts with raw data, and it matures as more data flows in, as users and machines build up metadata, and as user adoption broadens. Ambiguous and competing terms eventually converge into a shared understanding (that is, semantics) within and across business domains. Data maturity results as a natural outgrowth of the ongoing user interaction and feedback at the metadata management layer, interaction that continually refines the lake and enhances discovery.

With the data lake, users can take what is relevant and leave the rest. Individual business domains can mature independently and gradually. Perfect data classification is not required. Users throughout the enterprise can see across all disciplines, not limited by organizational silos or rigid schema.

Data Lake Maturity

The data lake foundation includes a big data repository, metadata management, and an application framework to capture and contextualize end-user feedback. The increasing value of analytics is then directly correlated in increase in user adoption across the enterprise.

Risks

Data lakes therefore carry risks. The most important is the inability to determine data quality or the lineage of findings by other analysts or users that have found value, previously, in using the same data in the lake. By its definition, a data lake accepts any data, without oversight or governance. Without descriptive metadata and a mechanism to maintain it, the data lake risks turning into a data swamp. And without metadata, every subsequent use of data means analysts start from scratch.

Another risk is security and access control. Data can be placed into the data lake with no oversight of the contents. Many data lakes are being used for data whose privacy and regulatory requirements are likely to represent risk exposure. The security capabilities of central data lake technologies are still in the beginning stage.

Finally, performance aspects should not be overlooked. Tools and data interfaces simply cannot perform at the same level against a general-purpose store as they can against optimized and purpose-built infrastructure.

Careful planning and organization of data lake strategy is required to make this project a success.

Monday, November 23, 2015

What is New in SharePoint 2016?

Microsoft releases a new version of SharePoint every three years. SharePoint 2016 public Beta version is available. The full version is expected in Spring 2016. Here is what is new in SharePoint 2016 version.

SharePoint 2016’s main goal is to bring the best of Office 365 Cloud technology to on-premises solutions. In this truly effective Hybrid model, organizations will be able to have the best of the Cloud, whilst keeping all their important information and data stored on-premises.

SharePoint Server 2016 has been designed to reduce the emphasis on IT and streamline administrative tasks, so that IT professionals can concentrate on core competencies and mitigate costs. Tasks that may have taken hours to complete in the past have become simple and efficient processes that allow IT to focus less on day-to-day management and more on innovation.

Main Focus

User Experiences
  • Mobile experiences
  • Personalized insights
  • People-centric file storage and collaboration
Infrastructure
  • Improved performance and reliability
  • Hybrid cloud with global reach
  • Support and monitoring tools
Compliance
  • New data protection and monitoring tools
  • Improved reporting and analytics
  • Trusted platform
MinRoles

You can now install just the role that you want on particular SharePoint 2016 servers. This will only install what’s required there, and it will make sure that all servers that belong to each role are compliant. You will also be able to convert servers to run new roles if needed. You can look at the services running on the SharePoint 2016 server and see if they are compliant.

Downtime for Updates

Downtime previously required to update SharePoint servers has been removed.

Mobile and touch

Making decisions faster and keeping in contact are critical capabilities for increasing effectiveness in any organization. The ability for end users to access information while on the go is now a workplace necessity. In addition to a consistent cross-screen experience, SharePoint Server 2016 provides the latest technologies and standards for mobile push and information synchronization. With deep investment in HTML5, SharePoint 2016 provides capabilities that enable device-specific targeting of content. This helps to ensure that users have access to the information they need, regardless of the screen they choose to access it on.

SharePoint 2016 further empowers users by delivering a consistent experience across screens, whether using a browser on the desktop or a mobile device. Through this rich experience, users can easily transition from one client to another without having to sacrifice features.

App Launcher

The App Launcher provides a new navigation experience where all your apps are easily available from the top navigation bar. You can quickly launch your application, browse sites and access your personal files.

Improved Controls

Based on SharePoint Online and OneDrive for Business, SharePoint 2016 document libraries inherit the improved control surface for working with content, simplifying the user experience for content creation, sharing and management.

Content Sharing

SharePoint 2016 improves the sharing experience by making it more natural for users to share sites and files. You can just click the "Share" button at the top right corner of every page, enter the names of people you want to share with, and press Enter. The people you just shared with will get an email invitation with a link to the site.

SharePoint still uses powerful concepts like permission levels, groups and inheritance to provide this experience. Part of sharing is also understanding who can see something. If you want to find out who already has access to a particular site, you can go to the "Settings" menu in top right corner, click "Shared with", and you will see the names and pictures of people who have access to the site.

Large File Support

SharePoint 2016 provides support for uploading files up to 10GB.

Compliance Tools

Preventing data loss is non-negotiable, and over-exposure to information can have legal and compliance implications. SharePoint 2016 provides a broad array of features and capabilities designed to make certain that sensitive information remains that way, and to ensure that the right people have access to the right information at the right time.

New In-Place Hold Policy and Document Deletion Centers will allow you to manage time-based, organization-wide in-place hold policies to preserve items in SharePoint and OneDrive for Business for a fixed period of time, in addition to managing policies that can delete documents after a specified period of time.

Cloud Hybrid Search

Cloud hybrid search offers users the ability to seamlessly discover relevant information across on-premises and Office 365 content. With the cloud hybrid search solution, you index all your crawled content, including on-premises content, in your search index in Office 365. When users query your search index in Office 365, they get unified search results from both on-premises and Office 365 cloud services with combined search relevancy ranking.

Cloud hybrid search provides some key benefits to customers of both SharePoint 2013 and early adopters of SharePoint 2016 IT preview, such as:
  • the ability to reduce your on-premises search footprint;
  • the option to crawl in-market and legacy versions of SharePoint, such as 2007, 2010 and 2013, without requiring upgrade of those versions;
  • avoiding the cost of sustaining large indexes, as it is hosted in Office 365.
With this new hybrid configuration, this same experience will also allow users to leverage the power of Office Graph to discover relevant information in Delve, regardless of where information is stored. You will not only be able to get back to all the content you need via Delve, but also discover new information in the new Delve profile experiences and even have the ability to organize content in Boards for easy sharing and access.

You will have to use the Office 365 Search for this to work. If SharePoint 2016 On-Premises users query against their On-Premises Search service, it will continue to give them local results only.

However, once available, this will allow users to fully embrace experiences like Delve in Office 365 and more to come in the future.

OneDrive Redirection

With SharePoint 2016, you can redirect your My Sites to your Office 365 subscription’s OneDrive for Business host. In other words, if a user clicks on OneDrive, he will be redirected to his Office 365 My Site and no longer to his On-Premises. Although you can use document libraries in on-premises SharePoint, Microsoft's larger strategy pushes users to use OneDrive to manage files across all devices. This creates the ability to integrate that OneDrive cloud storage into your on-premises SharePoint.

Follow Sites

Now users can click on “Follow” both On-Premises and on their Office 365 and see them all in one place under the “Sites” app in the App Launcher.

Site Folders

The OneDrive for Business area aims to bring users to one place to help them work with their files regardless of where they are. You will also be able to navigate your Sites and their libraries from there.

Saturday, November 7, 2015

Content Management Systems Review - Vasont

Vasont is a component content management system. It has powerful capabilities to store, update, search, and retrieve content. It offers version control, integrated workflows, project management, collaborative review, translation management, and reporting to manage content and business processes.

Vasont provides opportunities for multi-channel publishing and editing in your favorite applications. In addition, it provides an advanced editorial environment built to maximize, manage, and measure content reuse. Unicode support enables multi-language implementations. It also integrates the ability to process content with reusable, event driven business logic as an integral part of the system.

Content is stored in an underlying Oracle database and can be imported, exported, and stored in a variety of formats, including XML, SGML, HTML, as well as other formats that are required as input documents or deliverable formats. This is possible because Vasont can store content separately from any specific tagging structure.

Vasont can be used to store and manage embedded multimedia in structured content. It can also be used to provide a consistent organization and hierarchy to unstructured business documents and other digital assets to provide an overall document management solution. Vasont stores both component-level graphics and unstructured business documents as multimedia components.

Content can be stored at a document or sub-document level and with any content assets such as graphics and references. Vasont has great power at the component level with content organized using XML as input and output. Content can be manipulated and reused at any level of granularity. It is easy to add metadata to existing content and take advantage of the richness that metadata can provide.

Vasont also excels at integrating XML and non-XML traditional document content to provide powerful content applications that can cross departmental or functional boundaries. It is effective in a variety of content scenarios or in combined scenarios, including:
  • highly structured XML or SGML content;
  • structuring unstructured information assets such as in regulatory environments;
  • documents, especially linked to workflow and business logic;
  • digital assets such as graphics.

Vasont allows the building of content within and among these content relationships and content scenarios. It provides the power to model information in an organization and share it across different divisions. It stores all types of content in one repository. For example, structured content (i.e. XML, HTML, SGML, text and pointers), multimedia files, unstructured documents (i.e., Word, Excel, PDF files, graphics).

In Vasont Administrator, an administrator can set up the rules of structure and apply any processing options needed to transform, validate, or redirect data. The administrator can store settings for loading, extracting, editing and viewing data; user permissions; and workflow. Administrative responsibility can be assigned to specific Associate Administrators so that multiple groups or departments can share the system and yet control their own setups.

The system includes Vasont Universal Integrator (VUI) for Arbortext Editor, Adobe FrameMaker, JustSystems XMetaL, Quark XML Author, or Microsoft Word. The VUI allows authors to work in a familiar environment and provides a frequently used subset of functionality available in Vasont to simplify the editing process.

Vasont High-Level Application Architecture

Main parts are User Navigator and Content Navigator. Users, their roles and permissions are set up using User Navigator. Content Navigator includes content definitions, content instances, workflow definitions, load and extract views, and business logic which is processing options.

There is Vasont Application Programming Interface (API) for advanced customization and integration. The Vasont API allows for development of:
  • custom user interfaces;
  • web access to Vasont;
  • processing options;
  • Daemons.

Vasont Daemon Programs provides background processing routines that automate repetitive tasks such as extracting and loading content. Some customization is required to implement it.

Content Model

The content model and the corresponding rules of structure are defined by the administrator in the Vasont Administrator. These rules usually correspond closely to the structure rules defined in a Document Type Definition (DTD) or schema, but they may differ somewhat or may support multiple DTDs for different outputs. Structures may also be defined in Vasont, independent of a DTD, which is useful when storing documents and other digital assets that may need to be organized in a specific way but are not structured XML or SGML content. The rules of structure help guide you through the editing process by allowing you to place components in only the appropriate locations in a collection.

The Vasont Administrator is also used to define the big picture of how collections will be organized in Vasont, through the creation of content types and collection groups. These categories are represented in a tree or list view in Vasont and have symbols that represent them. This screen of a tree view shows the sequencing and grouping of collections.

The detailed items in a collection are called components. The top component in each tree view is called the primary. Normally a collection will contain many primaries.

Vasont has several classes of components and components can be broken down into smaller chunks, depending on the needs of the organization. The level of chunking is called granularity. It is essential to understand how your Vasont system has been configured so that you can find and edit the relevant material and maximize reuse. Granularity describes the smallest chunk of content stored in Vasont. A high level of granularity means that content is stored in large chunks. For example, you may have Book, Chapter, and Section components with no components defined at a level lower than Section. On the other hand, a very granular setup stores content in very small chunks, typically broken down into paragraph-level components or the equivalent.

Content types are the highest level of organization in Vasont and often serve as major divisions in content. Typically, different content types store content with very different content models, such as content used in different divisions or groups within a corporation. Content types are set up in the Vasont Administrator.

Content in each content type is organized into collections and optional collections groups. Inside of a content type called Publication, a collection such as Manuals is a grouping of similar content that follows the same structure. Depending on how similar the content model is, collections and collection groups within a single content type may share content. Collections in the same content type have similar content models so that content can be reused, moved, and referenced. Content in collections from different content types may be reused if the content types share similar raw components. Pointers are allowed from components in one collection to components in another collection and the collections can be in different content types.

Components are reusable chunks of content defined in the rules of structure for each collection. Although not required to, components usually correspond to elements in a document type definition (DTD). The three types of components are: text, multimedia, and pointer.

Metadata, or information about your content, helps you automate business logic and categorize, locate, filter, and extract content. Traditional types of metadata for topics include index entries that describe content or identifiers that can be used for cross-referencing or mapping context-sensitive help in software applications. Other examples of metadata include labeling content that applies to a particular customer or vendor, whether content should be published to an online help system or a printed manual, or other types of classifications. Metadata can be information that helps perform automated business logic through the use of Vasont Processing Options.

The Vasont Navigator provides an intuitive way to view, edit, reuse, and search content within a collection. Its hierarchical structure represents the organization of content in the system and icons indicate the state of items, including whether they have been included in a log. Components may be opened and closed individually or in groups. Open multiple Navigator windows to drag and drop content easily from one location to another, either within or across collections, rather than scrolling up and down the tree view.

Vasont provides powerful search capabilities to find and reuse content across the entire organization. The search function allows to search for content across collection boundaries. When performing a cross-collection search, you are prompted to select the collections to search and then specify query criteria for the content desired.

The Vasont Content Ownership feature gives a designated user the right to assign ownership to an individual user, or a group of users which provides the exclusive right to alter specified content. The designated user will have the right to assign ownership to a Primary component. Once ownership is assigned, the Vasont CMS then recognizes users who have permission to perform add/delete/change actions to the content, and prevents those who do not have ownership permissions from making changes to the content.

Each and every piece of unique content is stored in the raw material only once. Vasont compares content in the same raw component or in aliased raw components to determine if the content has been used in more than one instance. If the text of the components is the same, it is stored in the raw material as a single component. Vasont's ability to automatically reuse content where it can, without any specific setup, is called implicit reuse.

Depending on your setup, you may explicitly reuse content by referencing or “pointing to” relevant content from different contexts. For example, you may have a collection of shared procedure components that you can point to rather than storing the entire procedure in multiple locations.

Vasont can be used to store and manage embedded multimedia in structured content. It can also be used to provide a consistent organization and hierarchy to unstructured documents and other digital assets to provide an overall document management solution. Vasont stores both component-level graphics and unstructured documents as multimedia components.

Vasont offers a Translation Package that enables users to lower their overall translation costs by minimizing the amount of content that needs to be translated. This is possible because it keeps track of content that has already been translated and insures it is not re-translated. It also measures the amount of savings for each translation project by identifying the percentage of words that have already been translated.

It offers Translation Management that helps users manage projects and sub-projects by tracking dates, vendors, languages and status information. A translation project is a module of content that is being translated into multiple languages (i.e., a topic that is being translated into French, German, and Chinese). The sub-projects are each individual language to which the module is being translated (i.e., the specific French translation is a sub-project of the topic translation project).You can submit your projects for quote or send them for translation directly from Vasont's translation window. This window also provides word counts for each translation project.

Integration with translation vendors can be used with this package for an automated content delivery back and forth from Vasont. The translation package is used to consolidate the status information for all your translation projects in one place so you can keep your projects on schedule and lower your costs.