With the management of multiple databases becoming a common problem as organisations evolve and expand it's important to be prepared be aware of some important Do's and Don'ts
You Need a Unified Solution (Not Individual Tools)24/7 Software
Are your operations disjointed from using multiple software tools from different vendors? In this infographic, we share how a unified solution fixes this.
You Need a Unified Solution (Not Individual Tools)24/7 Software
Are your operations disjointed from using multiple software tools from different vendors? In this infographic, we share how a unified solution fixes this.
IT is increasingly a driver of business innovation. But you can’t open those doors to innovation without first transforming outdated data protection models. Here’s why – and how – you need to modernise your organisation’s approach to data backup and disaster recovery.
During RtI day 1 on November 19th each school will provide a data wall that follows this format. The process will allow sharing, feedback and planning time around how this data will continue to form instructional practices.
The Tableau Experience Kaunas - TOC Sales and Marketing prezentacijaBaltimax
2017 m. spalio 18 d. Kaune vykusiame seminare „The Tableau Experience“ UAB „TOC Sales and Marketing“ atstovas Mindaugas Voldemaras ir Linas Sutkaitis dalinosi savo patirtimi naudojantis „Tableau“ verslo analitikos sprendimu.
The benefits of using open source software are well known, well documented and well leveraged by organisations all over the world. The risks of using open source software are not always as well understood. The risks are real and there’s always more which can be done to manage risk but at what cost?
Attend this keynote for a discussion on the results of a four-year, industry-wide study on application security practices, policies, and trends related to open source development. To date, over 11,000 professionals have participated in the study.
Among the surprising survey results that will be discussed:
1-in-3 organizations had or suspected an open source breach in the past 12 months
Only 16% of participants must prove they are not using components with known vulnerabilities
64% don't track changes in open source vulnerability data
Lessons Learned from ELN & LIMS ImplementationsMark Fortner
The process of selecting and implementing an electronic lab notebook (eLN) and laboratory information management system (LIMS) can be a challenging, time-consuming endeavor. It is an expensive decision that requires careful analysis of lab operations and processes, requirements gathering, and understanding of diverse technologies like cloud-based applications, instrument data parsing & loading, data analysis, machine learning, small-molecule and biologics registration, batch tracking, request management, and structure- and sequence-based searching just to name a few.
This white paper draws on lessons learned from multiple implementations in diverse life science labs.
The way we make decisions has changed. The data we use has changed. The techniques we can apply to data and decisions have changed. Yet what we build and how we build it has barely changed in 20 years.
The definition of madness is doing more of what you already do and expecting different results. The threat to the data warehouse is not from new technology that will replace the data warehouse. It is from destabilization caused by new technology as it changes the architecture, and from failure to adapt to those changes.
The technology that we use is problematic because it constrains and sometimes prevents necessary activities. We don’t need more technology and bigger machines. We need different technology that does different things. More product features from the same vendors won’t solve the problem.
The data we want to use is challenging. We can’t model and clean and maintain it fast enough. We don’t need more data modeling to solve this problem. We need less modeling and more metadata.
And lastly, a change in scale has occurred. It isn’t a simple problem of “big”. The problem with current workloads has been solved, despite the performance problems that many people still have today. Scale has many dimensions – important among them are the number of discrete sources and structures, the rate of change of individual structures, the rate of change in data use, the variety of uses and the concurrency of those uses.
In short, we need new architecture that is not focused on creating stability in data, but one that is adaptable to continuous and rapidly changing uses of data.
Slides for Briefing Room webcast ( https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=869f964b1380f728cedde802779a1e12 )
Organizations worldwide are learning hard lessons these days about the constraints of dated information systems. The time-tested process of Extract-Transform-Load (ETL) is fast losing its ability to cope with the volume, velocity and variety of Big Data coming down the pike. Forward-thinking companies are therefore prepping the battle field by designing on-ramps to the future of streaming analytics. Register for this episode of The Briefing Room to hear Analyst Mark Madsen explain how a new era of data solutions is rising to the challenge of streaming data. He'll be briefed by Steve Wilkes, founder and CTO of the Striim platform. Steve will share how enterprises are turning to streaming data integration, in-memory transformations and continuous processing to achieve the goals of ETL in milliseconds – at a fraction of the cost and complexity of legacy systems. Several case studies will be shared.
Learn the top ways of streamlining your technology and minimizing downtime- from an IT pro that specializes in providing managed IT services to schools
The pioneers in the big data space have battle scars and have learnt many of the lessons in this report the hard way. But if you are a general manger & just embarking on the big data journey, you should now have what they call the 'second mover advantage’. My hope is that this report helps you better leverage your second mover advantage. The goal here is to shed some light on the people & process issues in building a central big data analytics function
1. Companies could use the System Development Life Cycle (SDLC) to.docxjackiewalcutt
1. Companies could use the System Development Life Cycle (SDLC) to get projects likes these started. The SDLC has four phases that a project will follow to be organized, developed, and executed. The phases are:
· Phase 1- System Planning and Selection
· Phase 2- Systems Analysis
· Phase 2- System Design
· Phase 3- Systems Implementation and Operation
The SDLC is a tool that helps improve organization and techniques. The SDLC also helps your company strive to success. Information system projects get started in many ways though it really would depend on the organization needs and or goals. The goals set within the organization will drive the selection process of implementing a new information system in multiple ways; this include modifying an existing Information Systems to improve its performance, it could be that the organization want to take advantage of some opportunities. The main purpose of Information Systems is to Collects data, processes it into information then converts information into knowledge for a specific purpose.
2. An organizational information system relates to a companies strategy because the SDLC is made to fit the company not the company fit to the SDLC. What I mean by this is you can have two companies using the SDLC, this does not mean both plans will be the same. The plan chosen will be the one that will suit the company and employees best. Strategy affects the information systems a company develops and uses because that will be the plan that fit the company’s goals and needs for success. An efficient organizational information system and must align with the company strategy in order for it to work efficiently and correctly, the more related it is the better it is, if these are not related the success would be a lot less and hence we need the success of the company if not there would be no purpose of having am information system established and set in place as it should be set up to help the company be more efficient and successful.
4. Jim’s next step is to benchmarking the company this would help him determine how the company is fairing comparing to its competitors. After that Jim will have to implement a new information system that you would attract new traffic/customer to the organizations. Then Jim could create the SDLC chart, decide who he wants to be a part of his team, have a JAD session with his team and execute his plan. Set weekly or monthly goals to meet. Create a survey for customers to provide feedback from customers. Make sure his project is known by the community when it is ready to be launched.
1. There are many reasons that cause the difference between information system plans and the reality. To begin with, lack of understanding the user needs leads to failure of the whole project. Success of any project is usually governed by the scope of the project and the main objective underlying formulation of the project. When the management fails to understand the scope then the project is always doomed t ...
IT is increasingly a driver of business innovation. But you can’t open those doors to innovation without first transforming outdated data protection models. Here’s why – and how – you need to modernise your organisation’s approach to data backup and disaster recovery.
During RtI day 1 on November 19th each school will provide a data wall that follows this format. The process will allow sharing, feedback and planning time around how this data will continue to form instructional practices.
The Tableau Experience Kaunas - TOC Sales and Marketing prezentacijaBaltimax
2017 m. spalio 18 d. Kaune vykusiame seminare „The Tableau Experience“ UAB „TOC Sales and Marketing“ atstovas Mindaugas Voldemaras ir Linas Sutkaitis dalinosi savo patirtimi naudojantis „Tableau“ verslo analitikos sprendimu.
The benefits of using open source software are well known, well documented and well leveraged by organisations all over the world. The risks of using open source software are not always as well understood. The risks are real and there’s always more which can be done to manage risk but at what cost?
Attend this keynote for a discussion on the results of a four-year, industry-wide study on application security practices, policies, and trends related to open source development. To date, over 11,000 professionals have participated in the study.
Among the surprising survey results that will be discussed:
1-in-3 organizations had or suspected an open source breach in the past 12 months
Only 16% of participants must prove they are not using components with known vulnerabilities
64% don't track changes in open source vulnerability data
Lessons Learned from ELN & LIMS ImplementationsMark Fortner
The process of selecting and implementing an electronic lab notebook (eLN) and laboratory information management system (LIMS) can be a challenging, time-consuming endeavor. It is an expensive decision that requires careful analysis of lab operations and processes, requirements gathering, and understanding of diverse technologies like cloud-based applications, instrument data parsing & loading, data analysis, machine learning, small-molecule and biologics registration, batch tracking, request management, and structure- and sequence-based searching just to name a few.
This white paper draws on lessons learned from multiple implementations in diverse life science labs.
The way we make decisions has changed. The data we use has changed. The techniques we can apply to data and decisions have changed. Yet what we build and how we build it has barely changed in 20 years.
The definition of madness is doing more of what you already do and expecting different results. The threat to the data warehouse is not from new technology that will replace the data warehouse. It is from destabilization caused by new technology as it changes the architecture, and from failure to adapt to those changes.
The technology that we use is problematic because it constrains and sometimes prevents necessary activities. We don’t need more technology and bigger machines. We need different technology that does different things. More product features from the same vendors won’t solve the problem.
The data we want to use is challenging. We can’t model and clean and maintain it fast enough. We don’t need more data modeling to solve this problem. We need less modeling and more metadata.
And lastly, a change in scale has occurred. It isn’t a simple problem of “big”. The problem with current workloads has been solved, despite the performance problems that many people still have today. Scale has many dimensions – important among them are the number of discrete sources and structures, the rate of change of individual structures, the rate of change in data use, the variety of uses and the concurrency of those uses.
In short, we need new architecture that is not focused on creating stability in data, but one that is adaptable to continuous and rapidly changing uses of data.
Slides for Briefing Room webcast ( https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=869f964b1380f728cedde802779a1e12 )
Organizations worldwide are learning hard lessons these days about the constraints of dated information systems. The time-tested process of Extract-Transform-Load (ETL) is fast losing its ability to cope with the volume, velocity and variety of Big Data coming down the pike. Forward-thinking companies are therefore prepping the battle field by designing on-ramps to the future of streaming analytics. Register for this episode of The Briefing Room to hear Analyst Mark Madsen explain how a new era of data solutions is rising to the challenge of streaming data. He'll be briefed by Steve Wilkes, founder and CTO of the Striim platform. Steve will share how enterprises are turning to streaming data integration, in-memory transformations and continuous processing to achieve the goals of ETL in milliseconds – at a fraction of the cost and complexity of legacy systems. Several case studies will be shared.
Learn the top ways of streamlining your technology and minimizing downtime- from an IT pro that specializes in providing managed IT services to schools
The pioneers in the big data space have battle scars and have learnt many of the lessons in this report the hard way. But if you are a general manger & just embarking on the big data journey, you should now have what they call the 'second mover advantage’. My hope is that this report helps you better leverage your second mover advantage. The goal here is to shed some light on the people & process issues in building a central big data analytics function
1. Companies could use the System Development Life Cycle (SDLC) to.docxjackiewalcutt
1. Companies could use the System Development Life Cycle (SDLC) to get projects likes these started. The SDLC has four phases that a project will follow to be organized, developed, and executed. The phases are:
· Phase 1- System Planning and Selection
· Phase 2- Systems Analysis
· Phase 2- System Design
· Phase 3- Systems Implementation and Operation
The SDLC is a tool that helps improve organization and techniques. The SDLC also helps your company strive to success. Information system projects get started in many ways though it really would depend on the organization needs and or goals. The goals set within the organization will drive the selection process of implementing a new information system in multiple ways; this include modifying an existing Information Systems to improve its performance, it could be that the organization want to take advantage of some opportunities. The main purpose of Information Systems is to Collects data, processes it into information then converts information into knowledge for a specific purpose.
2. An organizational information system relates to a companies strategy because the SDLC is made to fit the company not the company fit to the SDLC. What I mean by this is you can have two companies using the SDLC, this does not mean both plans will be the same. The plan chosen will be the one that will suit the company and employees best. Strategy affects the information systems a company develops and uses because that will be the plan that fit the company’s goals and needs for success. An efficient organizational information system and must align with the company strategy in order for it to work efficiently and correctly, the more related it is the better it is, if these are not related the success would be a lot less and hence we need the success of the company if not there would be no purpose of having am information system established and set in place as it should be set up to help the company be more efficient and successful.
4. Jim’s next step is to benchmarking the company this would help him determine how the company is fairing comparing to its competitors. After that Jim will have to implement a new information system that you would attract new traffic/customer to the organizations. Then Jim could create the SDLC chart, decide who he wants to be a part of his team, have a JAD session with his team and execute his plan. Set weekly or monthly goals to meet. Create a survey for customers to provide feedback from customers. Make sure his project is known by the community when it is ready to be launched.
1. There are many reasons that cause the difference between information system plans and the reality. To begin with, lack of understanding the user needs leads to failure of the whole project. Success of any project is usually governed by the scope of the project and the main objective underlying formulation of the project. When the management fails to understand the scope then the project is always doomed t ...
How to successfully implement Business Intelligence into your organisation.
A completely agnostic and independent view from a market leader in delivering technology transformation.
Details on how to build a strategy to successfully execute on and more importantly how to get the business to adopt Business Intelligence into their day to day role.
Essential tool kit for any organisation looking to invest in Business Intelligence.
Alyson Murphy is the in-house Senior Data Architect at Moz. She works with stakeholders to build a data solution that help Moz make data informed business decisions. Sean Work runs the blog at KISSmetrics.com. He’s been with the team since 2010.
We consolidated key data that was routinely used for analysis onto one reporting server. We then funneled key pieces of data into our web analytics solution so that there were fewer places to have to look for data when it was time to do an analysis.
We used to use email to get and prioritize projects. We shifted to Trello which allows us to have templates to ensure request quality and to be transparent about when certain projects will be worked on.
Where to Focus 2
Then we may branch out into orange and other colors.
But that’s all it is, a series of colors.
It’s not until much later that we start to see the entire picture. Where to Focus
In reality, your ball probably looks like this.
Goal 1: Build the Minimum Viable Ball
Components of a Data System There are 6 main areas of focus for building a successful and scalable data system.
Data Infrastructure Consolidating your data sources will make analysis easier and quicker which is important when you start adding people to your team.
Data Integrity Data Infrastructure and Data Integrity are perhaps the most important places to start because decisions in these areas waterfall into the other areas of your Data System.
Data Access and Visualization Data Access and Visualization is key as your company starts to grow. The goal is to make the data as easy to access as possible for people who have the skills to fish for their own data..
Infrastructure Change Process When you are in startup mode, everyone might have access to do what they need to do quickly to implement the changes they need to make. In a small organization this works out because everyone knows what everyone else is working on.
Goal 1: Build the Minimum Viable Beach Ball
To optimize the system, you may have to sub-optimize the subsystem.
Over COMMUNICATE what sections you are working on (helps with buy-in)
Ways to get buy-in
Pre-Research Buying Decisions
Data Infrastructure Data Integrity Data Access & Visualization Components of a Data System Infrastructure Change Process People in your Org Data Utilization Process Changes
In order to re-evaluate the KPI’s we look at, we had a collaborative meeting where each of the groups came up with a dashboard. We then looked for areas where we needed to create alignment. After that, we started building.
Data Infrastructure Data Integrity Data Access & Visualization Components of a Data System Process Changes Infrastructure Change Process People in your Org Data Utilization Process
Minimum Viable Product (MVP) vs. All-in-one Do you want to ship as little as possible as soon as possible and learn and add versus shipping a totally finished product all at once.
Fully embracing a BI tool can mean the difference between the full payoff of your data analytics and returns that are just so-so. Learn how to avoid BI pitfalls and boost BI adoption to become a truly data driven organisation.
Data migrations can look like deceivingly straightforward efforts when in fact they are risky undertakings. This presentation shares what many data practitioners and project managers see as the #1 success factor for data migration projects. Become a data migration hero by paying attention to this simple yet highly effective recommendation.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
2. It’s a common problem…
As organisations evolve and expand, new
working practices are introduced.
As a consequence processes can be
duplicated and become inefficient. This then
costs both time and money.
Our team have created some useful do’s and
don’ts to help ensure your new database
resolves current multiple database issues
and, prevents them from reoccurring.
Source: Research commissioned by MSM to 100 IT Managers based in large UK-based organisations
“60% of
organisations are
forced to deal
with information
held on multiple,
disparate
databases.”
3. DO…
1. Review off-the-shelf options
Just make sure it matches your needs perfectly
before proceeding. Compromising will mean
missing functionality or features.
4. DO…
2. Discuss technology with your
developer
Make sure you check and confirm:
Who will support it? Do they have experience with
the technology?
Is it a technology that more than one supplier can
support, avoiding vendor lock-in?
Does it match your existing IT strategy? Will you
be able to install the new database on your
existing infrastructure or, will it need new
hardware?
5. DO…
3. Carry out user research
Make sure you gather insight from a range of current
system users, they will provide you with:
Valuable insights and ideas on key areas to
develop to improve the efficiencies of multiple
existing databases
Detail of requirements in terms of the system
and, technological capabilities
6. DO…
4. Consider the future
Your future plans will influence how the system is
created so let your development team know if you
anticipate;
Acquisition
Organic growth
Scaling back
All or one of these things could make a BIG difference!
7. DON’T…
1. Forget to set and
communicate expectations
To avoid disappointments from different
interpretations of the brief, set clear and
realistic expectations from the outset.
8. DON’T…
2. Forget about other systems
within the organisation
Integration is an essential part of your new
system.
If your new database can’t effectively talk to
other systems it will just cause more issues.
Don’t forget to consider future integrations,
your provider will need to build these
capabilities too.
9. DON’T…
3. Launch the new database
without support in place
Ensure you have a fully briefed support team
who know the system inside out.
They will then be ready to handle questions
from users and, make ensure the adoption
and overall experience is a great one!
10. DON’T…
4. Underestimate the effort
required to migrate existing
data
This process can be complex - plan it
carefully!
Remember, there’s no point in filling a new
database with data from multiple sources that
won’t provide accurate and useful
management information reporting.
11. DON’T…
5. Allow project scope to
increase without being
controlled
It’s easy for the number of new system
requirements to increase rapidly with lots of
“nice-to-haves”.
Make sure you prioritise your requirements so
you can set a realistic project budget.
12. Keep in touch with MSM
twitter.com/msmsoftware
msmsoftware.com/blog
Company Page – MSM Software