Tag Archives: BI and DW Services

Advantages of moving BI into the cloud

30 Apr

As the cloud technology taking its turn to bring in a new revolution in this competitive IT world, organizations using Business Intelligence (BI) are keen to evaluate the benefits and risks involved in moving to a cloud based solutions. Enterprises believe this emerging technology as one of the complexity minimizer with respect to positioning their vast data warehouse and help them to simplify their task in making decisions.

Companies had already established and started implementing strategies in moving their in-house applications and production applications into cloud. However, it’s a highly perplexed scenario in case of a BI deployment into cloud. For example, let us consider a company that is intended to make a decision using their Big Data. (Big data is nothing but the term that describes the voluminous amount of unstructured and semi-structured data that are created by an Organization i.e., data that would take too much time and cost too much money to load into a relational database for analysis). Gartner research says the data capacities of the enterprises are growing at 40 to 60% per year. Another research says an enterprise would need a minimum of 2 to 3 years of combined data for analysis and decision making.

So by considering the research factors,

  • Do you believe it is possible for the company to make decision by storing voluminous amount of unstructured and semi-structured data in an excel sheet or any other application?
  • Do you believe this can achieved without a cloud solution?

It is certainly “Yes” for a few and “Never” for most of the enterprises. However, companies saying “Yes” without cloud solution end up with expensive, slower and harder solution. Eventually the companies saying “No” now have the option of moving their business intelligence and data warehousing applications into cloud using experienced solution providers like ZSL.

The anticipated research report of Gartner states that globally 70% of companies will be hosting BI in the cloud. By this research consideration, BI software-as-a-service (SaaS) is a viable alternative for companies’ planning to migrate their data warehousing and data mart infrastructure.

Risk while opting for a Cloud BI

Choosing a Vendor: Choosing a cloud BI vendor is very critical. Every big player has a cloud computing service or platform and claim to be powerful, easy-to-use, flexible and affordable. So how do you pick the one that is right for you?

Primarily research and gather information on the list of Cloud BI service providers. Once you have a list in hand, you will have to gather some fundamental information involving availability, security, performance, and customer service from them.

Assemble a list of providers. You can gather this information from magazine and news sources. You can get referrals from other businesses or business or industry groups. You can look to IT research companies, such as Gartner, Forrester, and IDC. You can also hire outside consultants to help your company find the right fit in a cloud computing vendor. In addition, there may be providers that specialize in solutions for your industry.

Once you have a list of prospective vendors, you need to gather answers to some fundamental questions involving availability, security, performance, and customer service. From the these information, the best way is to follow high-level, yet restrictive, criteria and only then compare them on a feature-by-feature basis.

Meeting your Business Requirements: Be sure to carefully consider your business requirements and go with a vendor that meets them. You may risk going with a smaller vendor, but you are more likely to get the BI deployment you want.

Availability: It’s important to understand if the service is deployed on an underlying infrastructure that is backed up with a meaningful service level agreement. The level of availability you need depends on the criticality of the service to your business. Nevertheless you’re looking to move your business intelligence systems to the cloud, it’s likely very important for the cloud service to be highly available. However, for moving secondary application you might not require high availability of the cloud solution.

Security: The biggest objection about cloud computing is security, taking corporate information outside the four walls. It should be notable that vendor’s may use the same server to host even your competitors data. Most vendors go about cloud security through the conventional means of various levels of encryption, firewalls, etc. So make sure where is the vendor server that hosts your data center and what is their business continuity during natural disasters? This will give you a satisfactory figure of how your vendor will be able to manage your data in a secured way.

Performance: As the cloud services gets matured; companies are expecting performance metrics from the vendors to support the growing business critical systems that make their business run. They expect a better performance than when it was on their own data center. So test your vendors asking how does the cloud service provider define performance? What metrics do they use? How does their definition of performance relate to end user satisfaction?

Customer Service: As a company you need to analyze the vendor yourself by

  • How quickly does a vendor return your calls?
  • How open are they in discussing what kind of technology they use or who their providers are and how often they have downtime?
  • What servers they use and the software they run and their disaster recovery plans?

There are few other ways to measure a vendor’s merit, as well.

  • Ask for referrals and check up on as many as you can.
  • If you’re thinking about moving a highly critical business application to the cloud, ask to visit their data center as it will tell you a lot about their capability. And, obviously, check whether the vendor is ready to sign a service level agreement (SLA).
  • If the vendor relies on other software and hardware and infrastructure players to keep their service up and running, make sure all the promises in the underlying SLAs align properly.
  • Check whether your vendor is confident enough to take up the project. If they are willing to include penalties in the SLA. You really want to make sure that there is confidence in the service, If the underlying providers are willing to share some level of risk in delivery, it’s a good indicator those vendors are confident in their infrastructure.

TCO: Companies need to ultimately evaluate their total cost of ownership ahead of implementing a cloud BI. It is affordable investing on a solution like cloud BI comparing the long-term cost. The advantage of a prompt implementation may deserve the hazard of long-term cost and may contribute to additional profits, like allowing you to scale your BI to more users throughout the organization faster.

Time Savings: It is a time consuming process with an in-house BI deployment. You need to spend more time on setting up, maintaining and debugging server. By adopting a cloud BI such burden can be avoided and that time could be better spent elsewhere, which means faster time-to-value and quicker ROI.

Data Security: As told earlier, data security concerns persist or so much has been invested in your existing data warehouse infrastructure that switching now would cause problems, then a web services model as described above may be the way to go. You maintain the risk of data security and get the reward of reduced costs by utilizing SaaS BI.

BI is the right choice at this point to move into the cloud and into the future. This new solution of BI in the cloud that’s more affordable and faster to implement will eventually force us all into a more repeatable and scalable model, and it’ll be best for information consumers at every level and will allow BI to become more dominant making us all better decision-makers.

For more information on Cloud BI contact Shaughn Knight

Advertisements

Self-Service BI & adapting Line of Business (LoB) Executives

19 Apr

Today, BI has sprouted more than just a technology as organization across the globe demand over more relevant and faster information to support decisions. Eventually data volumes are conservatively increasing 30% a year and enterprises find it difficult to handle these enhancing data sources that enrich their analytical systems. Best-in-Class companies are able to identify these needs and allocate appropriate IT resources to manage these back end data warehouse leaving only the functionality reports to be created by the Line of Business executives. However LoB executives are struggling to find a way to capture the appropriate insights from the information that are streamlined in and out of the organization.

Line-of-Business executives are entitled to make more agile decisions with the efficiently streamlined information. LoB Decision makers has no longer have an option to wait for the IT executives to generate their reports, they need to be abreast of the market sheers and quickly respond to the threats and opportunities they face. Hence they require self-service access to their analytical solutions to take right decision without the interference of the IT. Top performing companies have started implementing a comprehensive road map to develop their technically imperfect LoB executives into analytically inclined decision makers, spread Business Intelligence (BI) capability to more organizational functions, and drive significant internal and external business efficiencies as a result.

The self-service delivery model to BI is being adopted by many enterprises in order to create significant efficiencies for organizations and meet the growing need for business visibility and decision. The self-service approach allow

  • LoB executives to increase the curiosity towards their analytical thinking to learn more on the BI tool
  • Companies to extinguish IT intervention into the deployment and support of the BI tool
  • To create more analytical friendly environment wherein reports and dashboards can be created, applied to the data and distributed to the executives within the organization
  • LoB executives have the complete freedom to create their desired customized data that induce them to make more confident and perfect decisions that significantly leads to improved business performance.
  • LoB executives to drive value form traditionally untapped organizational data.

While speaking about the companies adapting to the self-service delivery model there are two main factors that are driving companies to generate a self-service environment for BI.

  1. Most enterprises are experiencing a growing need to create business visibility between top management and specific departmental levels i.e. In a business the view of a top management executive will be only at a strategic level and he/she might not be strong enough to understand the functional area similarly the LoB managers of an organization have a good understanding of what drives the business but strategically weak to take decisions. In order to improve the business visibility, companies therefore leverage the self-service environments.
  2. Most departments in an organization find themselves submerged with raw data about their business. While efforts have been made at the IT level to capture and manage this data, many have yet to leverage those efforts to deliver actionable insight to the department level.

These two factors are top of mind for companies looking to achieve self-service BI at the functional level.  Companies are looking for precise fact-based decision-making rather than decision via gut-feel. BI is generally designed to enable more fact-based decisions and most LoB executives share the overall desire to extenuate doubtfulness in how they run their business. Additionally, the need for self-service BI has shown to be born out of economic necessity. Many organizations have been forced to cut IT spending and therefore transfer not just the technical burden of BI to LoB executives themselves, but the financial obligation as well. Many of these cash-strapped companies are looking for creative new ways of delivering analytical capability, and a new direction being considered is outsourced BI model delivered via web-based Software as a Service (SaaS) interface.

For a more detailed discussion of BI deployment methods contact shaughnk@zsl.com

Business Intelligence implementation – How to guarantee your Success

16 Apr

Organizations often start their sophisticated Business Intelligence implementation with aspirational and competitive goals in an attempt to meet their business needs. However, they are ending up or restricted with department-levels due to the substantial business dimension that clutches around it.

The intention of organizations to implement a Business Intelligence solution is a mighty step, but how will you avoid these implementations getting restricted at department levels.

Mistakes during implementations

Organizations are most familiar with the mistakes that they do however they don’t realize them.

On time project delivery

Generally, Business intelligence and data warehousing implementations are large and complex, if enterprises don’t eventually define the scope of the work then the implementation becomes more complex, time consuming and cross the budget than predicted. Most companies fail to create the scope of the work and don’t realize the consequences out of this negligent behavior.

It is well interpreted that building an implementation plan would provide enterprises utilize the BI tools sooner and faster, make quicker decision making in terms of new functionality, gaining traction with smaller groups.

Strategic initiatives and Unavailability of depth reports

This interconnected factor to on time delivery is a tough balance to strike. Organizations need to approach with a strategy that would first measure the impact on the business and then technical foundation of new projects required to support the business within the subject area to deliver depth and rich reports. These strategic business initiatives on the basis of high business value that have low technical complexity to implement would help them to drive expected business value. When enterprises fail to approach these type of strategy and focus only on delivering subject areas and reports that can span across the organization they end up with departmental levels.

Troubling Support and Training

Business initiative must be followed by support and training activity as a part of the deliverable of the architecture phase. But most of the organization makes a mistake by forgetting to include the support and training cost as the part of BI initiative budget. Significantly an organization must provide technical training and support for a single user or a small group of users so that they can help the other users in knowledge transfers on how to design and build a BI repository or an ETL process, how to use the tool, how to manage the tool etc. These trained users become the nucleus of the design and developer skills in house for the data warehouse platform and BI toolset and first line of support for other users. This is one of the simplest of the initiatives that can be fixed, but after the initial project delivery this activity is being forgotten by the BI services implementer or the BI service vendor.

Lack of Internal communication

Another factor that affects the enterprise wide project is lack of internal communication within the organization. Business intelligence systems are contrasted to more of information gathering by their inter-departmental focus and their general overview towards business performance. They are also unique in their use of advanced technology and techniques to mine for data and to crunch that data in the most optimal manner. While a group in charge of market analysis might have a strong understanding of the particular sector of the market in which a business operates, their lack of the same detailed understanding about specific competitors and the inner management of the company make their information less useful. In a business intelligence model, all these various forms of business improvement should be tied together so that communication is quick and easy, and each segment should help to inform the other segments so their insights are even more valuable than they would be on their own.

Strategies that organizations must follow to avoid these mistakes

  • Ensure to begin your strategy with an insight towards Enterprise Data Warehouse that leads to high-level BI architecture
  • Understand various business process workflows of each department and gather the data required to support the high-level BI architecture.
  • Originate an implementation strategy that is important to deliver high business value and derive incremental deliverables to build your BI architecture
  • Develop strong working relationships with key business sponsors.
  • Educate a group of users with key technical knowledge and business and data analytics
  • Develop a strong communication barrier within the organization in order to gather information from different departments.
  • Take a release level approach to the incremental delivery of new (ETL and BI) functionality. Use strong (ETL and BI) tools and adopt common development standards; the ETL admin and the BI admin will be the central point for development standards. Pay attention to data profiling and data cleansing, and informally start to build master data. Don’t underestimate legacy data challenges, and don’t underestimate the challenges of unstructured data. Don’t underestimate training and support requirements, including the initial technical training, the initial business-user training, and ongoing training.

BI in the Cloud

3 Apr

Business intelligence (BI) industry is experiencing a profound effect since the inception of Cloud computing. The exponential growth in the use of amorphous data by companies, including big data leads many decision-makers to grapple with the most efficient ways to analyze real-time data quickly and effectively. These intensifying data demands are just one of the reasons that predict the developing market interest in cloud-based analytics. While Gartner forecasts the global business intelligence (BI) market to grow 9.7% this year to $10.8 billion, business analytics software-as-a-service (SaaS) is anticipated to spring up three times faster than the total business analytics software market.

BI facilitates companies to analyze data and turn it into valuable business information. As more data and applications migrate into the cloud, numerous new data sources are being created. Cloud-based BI and analytics offer companies and business users multiple benefits. Businesses of all sizes can leverage vast computing and storage resources in the cloud without having to invest in expanding their existing IT footprints or IT support staffs. BI providers are adapting their tools to this new reality, and successful companies must now evaluate and act upon this opportunity. In addition, cloud-based BI and analytics provide business leaders opportunities to quickly gather and act on granular insights from a mix of structured and unstructured data.

Cloud-based BI and analytics tools also relieve business users from trusting on their employees to generate reports or create dashboards for them, thus facilitating decision-makers to act quickly on rapidly changing market conditions. Thus enabling organizational leaders analyze the sales pipeline, monitor the results of marketing campaigns, or trends involving individual line-item expenses and releasing other departments/employees to focus on other activities.

The availability of cloud-based BI and analytics helps to have a greater collaboration and teamwork between decision-makers, including those who might be geographically separated. For instance, users of a particular BI tool can embed dashboards within its dedicated platform via a stream so that followers of that stream can then obtain and share real-time information. Hence provides business users to easily share ideas and insights with one another

These capabilities provide line-of-business users the ability to promptly and easily make informed business decisions across all levels of the organization.
Benefits of cloud BI

  • Investment: Without any upfront cost, hardware and software systems can be managed remotely by the vendors or the services providers
  • Opex Vs Capex: The Money that has been invested by the business people are expense incurred to create future benefit i.e. acquisition of assets that will have a useful life beyond the tax year
  • Elasticity in terms of volume, usage, and price.
  • Less reliance on internal IT resources.
  • Scalability: Even the smallest businesses can have the ability to tailor a BI system to fit their needs and improve their businesses.
  • Cost: Instead of buying complete software or full license, a Cloud-based system provide companies a subscription-based model that ensure companies paying only for their usage.

It is believed that 50% to 80% of all BI applications fall or can fall under the above criteria and therefore SaaS cloud BI will be a huge market. So if you are planning for a Cloud BI, then you have taken an apt decision at your level.
To know more on ZSL’s cloud BI services and solutions, Contact Shaughn Knight.

 

 

Avoiding your frustrations in BI

29 Mar

I cannot say for certain that every; in fact, most organizations that endeavors business intelligence (BI) sees a demonstrable business benefit from it. They find it unmanageable, more perplexed and more pricy than they expected and are unable to quantify the business benefits gained from it. Thus, Organizations has been investing in or working on BI for some period of time, are only partially satisfied with it and are frustrated more with the implementations.

So what should an Organization do to avoid these frustrations?

Let us see this one by one.

Missing Strategy:

Forgetting to create a strategy before BI implementation is one of the common mistake that many organizations do before investing into it. The company must know what is the exact intention of implementing a BI in their organization, why are they implementing it, how a BI will drive their organization towards business benefits, ROI of the Organization etc.

Most of the companies fail to do these ground level researches within their organization. The management staffs involved in approving the budget is also not willing to do so. The reason may be they either don’t understand the benefits of a BI or they expect some else to do the ground level research and they will use it. This is the core factor that causes the downfall of BI in an organization.

Business intelligence is just like any other business improvement technique: there must be a strategy/plan/roadmap that describes exactly what it will do, how the organization must change to leverage it, and specifically how having it will drive positive business results.

Prior Preparations for a BI initiative:

 Before you plan for a new BI initiative, or looking to revamp a stalled BI program you need to make sure that your time, effort and money are not wasted. In order to foresee a successful implementation companies should have a track on necessary pre-conditions to achieve better outcomes.

What are these pre-conditions?

Pre-conditions are nothing but few prior preparations that you need to do before identifying a BI initiative

  • Make sure your quality of data as the quality of the information is directly proportional to the quality of the data that you provide
  • Make sure if you have a proper framework in place for managing and prioritizing your BI investments
  • Make sure your employees or your vendor has necessary BI skill sets to use the technical methods in BI. Especially when you consider executives with less computer knowledge, they experience a very tough time with BI challenges. So executives must be aware of the challenges they might come across during BI initiative.
  • Ensure your organization is aware of all the change management challenges in BI. In other words, it basically is a thought process; any time we’re asking someone to change the way they think about a problem or business situation, change management is a critical element They also need to identify and manage the risk involved with a BI initiative i.e. risks must be predicted, discerned and mitigate prior challenging your organization.

If your organization is capable to handle these pre-conditions, then you have crossed 50% of the frustrations in implementing a BI solution.

Lost Directions:

Assume that you are travelling on a road to success, at a point there are several roads diverging in different directions. What will you do, if you do not know the exact direction to success? obviously you will end up it losing your direction. The similar scenario happens in BI too. Organizations having multiple data warehouses, data repositories, BI environments, multiple BI tool sets, and multiple user communities lose directions while accomplishing BI.  The risk involved in such an approach leads to duplicated cost/effort and Incremental technical complexity and cost from multiple similar technologies in use. All those multiples are not necessarily bad, but they should not indicate an undiscriminating approach to BI.  It is a best approach to have the initial venture into BI with best guided by a BI strategy/roadmap and a BI data architecture plan.

Improper Execution

BI applications are not easy to use. It involves lots of user knowledge on tools and data structures and lots of manual effort. It takes too long for the BI team to complete projects or even to fulfill requests for minor enhancements/modifications or new reports and dashboards.  Your company may have well-articulated requirements, a sound BI strategy, and a good set of tools, but might not be good at designing, building, maintaining, and supporting BI applications.  The consequences would eventually leads to your BI applications that run slowly, break frequently, are hard to use, deliver uncertain results, take longer to build and cost more than they should. These factors indicate that your company’s BI execution is unconventional.

A Successful BI execution requires the following capabilities

  • Adequate financial support from the management of an Organization
  • Employees or external vendors  should have essential BI skill and complete involvement in the BI projects
  • Use of a BI-specific development methodology
  • Project management and change management skills and discipline

BI Impact

This is a common scenario faced by the organizations. They have invested, have one or more BI applications in hand, but they are unclear about the impact. The actual reasons are

The decision makers of the organization are not capturing the business value of their BI investments, limited usage of the BI that has been deployed and Key decision-makers in the business do not use information from the existing BI system. These reasons proportionally affect the additional funding for BI and increase the number of unsatisfied users in an organization who are to be the key decision makers. To overcome this scenario companies have to gather little information within their departments.

  • Who are the major users in the company
  • What and how the information from a BI tool will be utilized
  • Which KPIs or strategic objectives will be advanced by it

Just by doing this little research you can easily overcome the related challenges and feel the BI impact within your organization.

The above discussed points may help you to overcome your frustrations and at the same time all these frustrations have proven solutions through successful implementation history by companies like ZSL. However, BI can be challenging to do well, but the potential business benefits make it worth the effort.

Would you like to know our successful implementation?

Would you like to see our happy customers who have come out of these frustrations?

Would you like to see a demo on our Business Intelligence and Datawarehousing (BI/DW) services

Email me your interests Shaughn Knight, AVP – Business Development and Inside Sales Operations.

SmartPrise BI for Healthcare, Banking, Finance, Telecom, Pharma & Life Sciences, Travel & Logistics, Wholesale & Retail

26 Mar

ZSL’s SmartPrise BI® is the complete end-to-end Enterprise Intelligence solution for small-to-mid enterprises, which enables them to monitor, report and analyze their business performance effectively. The solution enables the enterprises to transform data into business-critical information that helps them to scale as well strategically plan to improve their business performance. SmartPrise BI Mobile for Health is developed based on Cognos, SSRIS, Business Objects, Spotfire, Xcelsius and can fit with any leading ERP & CRM applications that include Microsoft Dynamics, Infor, SAP & Oracle.

SmartPrise BI® suite provides enterprises accurate, consistent and clear data in the form of reports, scorecards and dashboards that acts as a key information for decision and policy makers to give consents, frame policies and guidelines and allocate funds for different planned and ongoing activities across the organization. The suite is addressed to meet the intelligence analytics needs of wide range of industry verticals which includes Healthcare, Banking, Finance, Telecom, Pharma & Life Sciences, Travel & Logistics, Wholesale & Retail.

ZSL’s SmartPrise BI® suite includes:

  • Enterprise Data Warehousing: ZSL follows on industry best practices in developing and delivering data warehousing platforms that span the business and analytical data warehouse needs of the enterprises.
  • Enterprise Data Management: the platform brings together the various data sources through integration between various application systems such as CRM, ERP, Legacy and third-party applications and is organized and managed through well-built service oriented data architecture.
  • Enterprise Data Delivery: ZSL’s SmartPrise BI® suite is flexible and agile that enables the users to have data drilled to any nuances and is delivered in any preferred format such as pie-charts, graphs, dashboards, reports and more. The reports can also be posted into a portal, emailed to users or allow for web-based access.

SmartPrise BI® suite is available for multiple deployment models – On Demand, SaaS & Cloud.

SmartPrise BI® Mobile
The mobile enablement of SmartPrise BI® suite enables the end users to access the mission critical reports over their smart phones and tablets such as iPhones, iPad, Blackberry, Windows Mobile & Brew devices.

Key Benefits

  • Key information that analyses your present and past business performance and guides the decision makers to frame and consent policies and processes suitable to the organization at time of need
  • Serves as a yardstick to measure your employee productivity, operation efficiency and business performance as a result of your new policies and programs
  • Proven and successful methodologies to extract, manage and deliver data
  • Centrally managed data, business hierarchies, rules and calculations to eliminate data silos and inconsistencies throughout the organization
  • Proven and cost-effective BI&DW methodologies built on prudent architecture powered by IBM Cognos which offers seamless integration between various data sources and compatible for SOA, Web 2.0 and BPM capabilities
  • Easy to interpret and analyze data using reports, charts, scorecards and dashboards in preferred formats that has a rich new look & feel and instantly accessible over web and mobile devices
  • Faster implementation services and simple configuration procedures saving 30% of your time and money involved in implementation and roll-out
  • Flexible, role-based security model to protect the reports and reporting resources appropriately and also includes extensible interfaces for integrating other security models if desired

Is your organization looking for a BI tool? Have your organization chosen the right one?

Email me your interests Shaughn Knight, AVP – Business Development and Inside Sales Operations.

Why should you go for a BI when you have an ERP in hand!!!!!!

20 Mar

When you rewind the IT history a few years back, most industries preferred ERP as a significant tool to generate their organizational data. With the inception of sophisticated BI solutions and implementations the hype on ERP phenomenally reduced as ERP wasn’t generating the required information to run a business. While BI was significantly able to generate data and information alongside which was sufficient enough for companies to minimize the reporting structure, taking right decisions for their business etc., Hence industries started giving enormous importance to the BI solutions leaving less importance to ERP and CRM

Fairly speaking, ERP is the true backbone of any company or business. ERP was designed for efficient data entry and storage to provide much-needed capabilities, such as management of financial, product, human capital, purchasing and other transactional data within one environment. Certainly they are not the best tool for reporting as the information delivered by an ERP is at a very detail level. If you take any organizations and their top-level executives, they wouldn’t like to see business users essaying them the reports, they wanted it to be short and simple and easy to understand. So to ease the reporting structure and to make right and accurate decisions most organizations prefer a BI solution.

BI on the other hand provides robust access to different reports, dashboards and balanced scorecards facilitating business users in streamlining their business operations with accurate decisions. In simplest term just a facilitator for reporting and hence it is the decision-making solution for businesses so that they can cut costs and hence increase profits.

For any normal business, a need for an ERP, CRM or SCM system comes first and then they start thinking about using a BI solution. What if these organizations are given a chance to use BI along with their existing ERP or CRM tool? Is it possible for these Organizations?

The answer is SmartPrise BI. ZSL, Inc with an intention to showcase their BI capabilities to all small and midsized organization emerges with an exclusive, sophisticated and cost-effective BI add-on for CRM and ERP. Now the business users of small and midsized organization have to just integrate this add-on to their existing ERP/CRM system and get the complete benefit of that of a BI tool.

Salient Features:

  • Cost effective implementation
  • Filter, sort and analyze data.
  • Formulate ad hoc, predefined reports and templates.
  • Provide drag and drop capabilities.
  • Produce drillable charts and graphs.
  • Analytical features like ranking, filtering, sorting, group by etc…
  • Dashboards with KPI reports
  • Interval Grouping on date field
  • Distribution reports with XML Publishing
  • Export reports in different formats (PDF, XLS, TXT, HTML etc.)

In case of any further customization required to this add-on, based on the customer requirement, ZSL can provide the customization.

Is your organization looking for a vendor? Have your organization chosen the right tool?

Email me your interests Shaughn Knight, AVP – Business Development and Inside Sales Operations.

“If you wish to avail my blog article please click the follow button at the bottom of this blog”

How Healthcare Organizations gets profited by BI?

7 Mar

How Healthcare Organizations gets benefited by BII have seen many hospital administrators who have been using the Healthcare analytics for creating quality reports and capture better revenue. These administrators are working in teams with their IT department and other hospital staff in determining what to spend, and where to spend it, as BI takes on a greater role in health care. Like many industries, health care seeks ways to improve efficiency and reduce costs. Hospitals are turning to analytical tools to help accomplish these goals and to create better clinical outcomes for patients. On the other hand hospitals equally are just getting started or are planning to implement data analytics.

Healthcare industry as such is full of modern challenges in data quality and its distribution and hence indeed, BI is so important to this industry for not only analyzing the data but also to know how the results of these analyses are related to everyday business decision.

 Issues faced by Healthcare Industry with respect to BI

  • Analyses that often leads to organizational confusions and loss of business opportunities due to inconsistent data definitions across multiple and heterogeneous data systems
  • Individual departments not receiving timely analytic support create their own internal databases and approaches, exacerbating the issue across healthcare systems. These shadow systems generate unnecessary costs and the outputs lack data quality, security, and consistency, thus the need for a dependable source of experienced support.
  • There is a no common understanding or agreement on definitions or consistent data flow. Different data bases display information based on different sets of qualification criteria, highlighting the fact that there is no consistent definition or standard for how information is extracted, viewed and analyzed.
  • Lack of common agreement on the value of each data field because each data element is defined and used differently in each area of the organization
  • Inconsistent outputs and highly variable interpretations due to data reconciliation is another primary issue. There is no central group chartered to pull the data when requested. Planning, Finance, Quality, Marketing, Med Staff, or others may be contacted
  • The experience set of the analysts that receive business requests and pull the data do not have the deep insight required to interpret business drivers behind the data requests.

BI and Lowered Healthcare Cost

  • Helps you to meet the rising demand for achieving competitive advantage
  • Healthcare organizations improve patient care by driving better decision making throughout the organization.
  • Helps you to have a clear insight into clinical data and hence clinical decisions will be evidence based.
  • Helps to supervise and endeavor over inflating costs and operational processes, and increase the quality of care and the financial health of the organization.
  • Helps to improve patient safety and clinical quality by providing reports and analytics to give insights into business operations.

Use of Key Performance Indicators (KPIs) in Healthcare

With the use of the KPIs, Hospital Performance can be monitored and analyzed. KPIs on accounts receivable, operating profit and expenditure involved in development of latest medicines and amenities help in evaluating the fiscal advancement and performance of the health care facilities. It helps to mine patient data for clinical patterns and treatment protocols and track the cost of supplies to the cost of procedures. It helps to generate clinical and service line reporting and analyze potential contracts while negotiating with payers. Thus using KPIs BI permits management to have a luculent idea of events occurring in a hospital or in multiple group hospitals.

Improved Business Intelligence efficiency on Workflow Automation

  • To avoid repetition of errors in medical field, workflow management must have integrity.
  • Supreme compliance must be attained to a great extent so that progress and good management will go hand in hand.
  • This will bring to a successful conclusion that should be confirmed.
  • It also assists flexibility in the business process by advancing with customer needs and competitions.
  • Medical Assistants are heavily involved in making sure data is properly recorded and utilized.
  • Patients would ensure their confidence in a medical institution when they see that they have the right medical assistants who can give them satisfaction.

Is your organization looking for a BI vendor? Have your organization chosen the right tool? Just a BI add-on to be integrated to your existing EHR?

Email me your interests Shaughn Knight, AVP – Business Development and Inside Sales Operations.

“If you wish to avail my blog article please click the follow button at the bottom of this blog”